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4,070 results for “plasma”

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zenodo44/100

CHAMP and Swarm solar activity- and height-scaled polar cap plasma density measurements

Solar activity- and height-adjusted plasma density measurements in the polar cap (i.e., above 80° latitude in Modified Apex110 coordinates) from the Swarm and CHAMP satellites. covering the entire CHAMP mission period (2002–2009) and the Swarm mission period from launch through February 2020. Plasma density measurements are scaled to a nominal solar activity level of <F10.7>27 = 80 sfu, and an altitude of 500 km, as described in Hatch et al. (submitted to JGR: Space Physics; <a href="https://www.essoar.org/doi/abs/10.1002/essoar.10502854.1">ESSOAr pre-print</a>)  This dataset was prepared as a part of the "Swarm+ Coupling High-Low Atmosphere Interactions: Ion Outflow" project (<a href="https://swarmoutflow.w.uib.no/">project website</a>) (<a href="https://eo4society.esa.int/projects/swarm-coupling-high-low-atmosphere-interactions-ion-outflow/">ESA website</a>), and is funded by European Space Agency Contract #4000126731. Data are stored in HDF5 format as a Python Pandas dataframe. They can be loaded into Python via the following. <pre><code class="language-python">import pandas as pd df = pd.read_hdf('CHAMP_Swarm_polarcap_adjDensity.hdf',key='df')</code></pre> The data columns are <ul> <li>'NeAdj'    : Solar activity- and height-adjusted plasma density (cm-3)</li> <li>'a110lat'  : Modified Apex110 latitude (deg)</li> <li>'a110lon' : Modified Apex110 longitude (deg)</li> <li>'mlt'         : Modified Apex110 magnetic local time</li> <li>'h_km'     : satellite altitude (km)</li> <li>'gclat'      : geocentric latitude (deg)</li> <li>'gclon'     : geocentric longitude (deg)</li> <li>'sat'         : satellite identifier (string, one of 'A', 'B',' 'C', or 'CHAMP')</li> </ul>

opencc-by-4.0May 2020View details →

zenodo44/100

Dynamo in weakly collisional non-magnetized plasmas impeded by Landau damping of magnetic fields

This dataset contains a collection of simulation inputs and results used in the paper [I. Pusztai et al (2020) Phys. Rev. Lett., Dynamo in weakly collisional non-magnetized plasmas impeded by Landau damping of magnetic fields, https://arxiv.org/abs/2001.11929]. References to figures below refer to this publication.  These simulations are performed using the kinetic-Vlasov solver Gkeyll [version: cd65328c077f+ 2228+ default], for more information on the code visit https://gkyl.readthedocs.io/en/latest/index.html, or consult [J. Juno et al (2018) J. Comp. Phys 353, 110]. The input files are found with .lua extension in each simulation directory Content: * Galloway-Proctor-flow_Fig1-kinetic-and-Fig2    Kinetic simulation of the Galloway-Proctor flow, corresponding to the solid lines in Fig. 1 and Fig. 2.  * Cnu-and-k-scan_Fig3-and-Fig4a   This is a parameter scan in wavelength of the magnetic perturbations [ranging from L0 ("L0") to L0/8 ("L0per8"), with baseline domain size L0] and collision frequencies [ranging from 0.05 ("Cnu005") to 1 ("Cnu1") times the baseline values]. These results are presented in Fig. 3 and Fig. 4a. * Magnetization-scan_Fig4b   Scan in magnetization shown in Fig. 4 b. The magnetic field varies between 1 and 100 T ["B1" and "B100", respectively]. * Roberts-flow_Fig5    Kinetic simulations of the Roberts flow, shown in Fig. 5. The collision frequency is scaled to 0.3 the physical value (dashed lines, "Roberts_Cnu03_Fig5"), and zero (solid lines, "Roberts_Cnu00_Fig5").   * Pencil_Run_12x12x12.tar.gz Input files for PENCIL CODE simulations.

opencc-by-4.0Jun 2020View details →

zenodo44/100

Three-dimensional magnetic reconnection in particle-in-cell simulations of anisotropic plasma turbulence (Simulation Data)

This folder contains the output of the following simulation:  We use the explicit Plasma Simulation Code (PSC, Germaschewski et al.2016) to simulate eight anisotropic counter-propagating Alfvén waves in an ion-electron plasma. The anisotropy of the initial fluctuation is set up according to the theory of critical balance by Sridhar & Goldreich (1994) and Goldreich & Sridhar (1995) at the small scale end of the inertial range: $k_{\parallel} d_{i} = C (|k_{\perp}|d_{i})^{2/3}$, where $C= 10^{-4/3}$. The normalization parameters are the speed of light $c = 1$, the vacuum permittivity $\epsilon_{0} = 1$, the magnetic permeability $\mu_{0} = 1$, the Boltzmann constant $k_{b}=1$, the elementary charge $q=1$, the ion mass $m_{i}=1$, the density of ions and electrons $n_{i}=n_{e}=1$ and the ion inertial length $d_{i}=c/\omega_{pi}$ where $\omega_{pi}=\sqrt{n_{i}q^{2}/m_{i}\epsilon_{0}}$ is the ion plasma frequency. We set $\beta_{s,\parallel}=1$ and $T_{s,\parallel}/T_{s,\perp}=1$, where $\beta_{s,\parallel}=2 n_s \mu_{0} k_{B}T_{s,\parallel}/B_{0}^{2}$ is the ratio between the plasma pressure parallel to the background magnetic field $\mathbf{B}_{0}$ and the magnetic pressure and $T_{s,\parallel}$ is the parallel temperature. The magnetic field is normalised to $B_{0}=V_{A}/c$,  where $V_{A}=B_{0} / \sqrt{\mu_{0}n_{i}m_{i}}$ is the ion Alfvén speed. We use 100 particles per cell (100 ions and 100 electrons), a mass ratio of $m_{i}/m_{e} = 100$ so that $d_e = 0.1 d_{i}$ where $m_{e}$ is the electron mass and $d_{e}$ is the electron inertial length. The simulation box size is $L_{x} \times L_{y} \times L_{z} = 24d_{i}\times24d_{i}\times125d_{i}$ and the spatial resolution is $\Delta x =\Delta y = \Delta z = 0.06d_{i}$. We use a time step $\Delta t =0.06/ \omega_{pi}$. In our normalisation, the Debye length $\lambda_{D}=d_{i}\sqrt{\beta_{i}/2}V_{A}/c$ defines the minimum spatial distance that needs to be resolve in the simulation and $\lambda_D=0.07d_i$. This output corresponds to $t=120 \omega_{pi}$.  These data were produced using the Data Intensive at Leicester (DIaL) facility provided by the DiRAC project dp126 "Identifying and Quantifying the Role of Magnetic Reconnection in Space Plasma Turbulence".

opencc-by-4.0Dec 2020View details →

zenodo44/100

Raw and analyzed data for manuscript: "An open-source surface barrier discharge plasma pretreatment for reduced cracking of outdoor wood coatings"

Highlights: <ul> <li>Surface barrier discharges are an affordable and available plasma technology for industrial, laboratory and home-workshop applications.</li> <li>Plasma pretreatments had no impact on the appearance of different protective wood coating for outdoor usage.</li> <li>The weathering performance of outdoor wood coatings improved by plasma, showing less cracks and less biotic factors.</li> </ul>

opencc-by-4.0Oct 2020View details →

zenodo44/100

Automated MESSENGER Plasma Region Classifications via Unsupervised Transfer Learning

This file contains the 1-minute resolution dataset (“labeled_sunside_data_3labels.csv”) for Toy-Edens et al.’s Automated Classification of MESSENGER Plasma Observations via Unsupervised Transfer Learning. The 1-minute resolution file contains the rolled up 1-minute epoch, features that go into clustering and post-cleaning methods, spacecraft positions (in MSO), total magnetic field, raw and cleaned clustering labels, and raw and cleaned transition name. We ask that if you use any parts of the dataset that you cite Toy-Edens et al.’s Automated Classification of MESSENGER Plasma Observations via Unsupervised Transfer Learning (DOI: 10.3389/fspas.2025.1608091). This work was supported by NASA grants 80NSSC19K0789 and 80NSSC22K0993.   The following tables detail the contents of the described files: labeled_sunside_data_3labels.csv description <table style="width: 100.063%; height: 851.2px;"> <tbody> <tr style="height: 47.6px;"> <td style="width: 17.3792%; height: 47.6px;"> Column Name </td> <td style="width: 78.9512%; height: 47.6px;"> Description </td> </tr> <tr style="height: 47.6px;"> <td style="width: 17.3792%; height: 47.6px;">  Epoch </td> <td style="width: 78.9512%; height: 47.6px;"> Epoch in datetime (YYYY-MM-DD HH:MM:SS) </td> </tr> <tr style="height: 47.6px;"> <td style="width: 17.3792%; height: 47.6px;">  x_mso </td> <td style="width: 78.9512%; height: 47.6px;"> x position of the spacecraft in MSO [km] </td> </tr> <tr style="height: 47.6px;"> <td style="width: 17.3792%; height: 47.6px;">  y_mso </td> <td style="width: 78.9512%; height: 47.6px;"> y position of the spacecraft in MSO [km] </td> </tr> <tr style="height: 47.6px;"> <td style="width: 17.3792%; height: 47.6px;">  z_mso </td> <td style="width: 78.9512%; height: 47.6px;"> z position of the spacecraft in MSO [km] </td> </tr> <tr style="height: 47.6px;"> <td style="width: 17.3792%; height: 47.6px;">  btot_mso </td> <td style="width: 78.9512%; height: 47.6px;"> Total magnetic field [nT] </td> </tr> <tr style="height: 47.6px;"> <td style="width: 17.3792%; height: 47.6px;">  norm_Btot </td> <td style="width: 78.9512%; height: 47.6px;"> Magnitude of the total magnetic field normalized to 150nT. See paper for more information </td> </tr> <tr style="height: 67.2px;"> <td style="width: 17.3792%; height: 67.2px;">  ratio_max_width </td> <td style="width: 78.9512%; height: 67.2px;"> Ratio of the width of the most prominent ion spectra peak (in number of energy channels) to max number of energy channels. See paper for more information </td> </tr> <tr style="height: 67.2px;"> <td style="width: 17.3792%; height: 67.2px;">  ratio_high_low </td> <td style="width: 78.9512%; height: 67.2px;"> Ratio of the mean of the log intensity of high energies in the ion spectra to the mean of the log intensity of low energies in the ion spectra. See paper for more information </td> </tr> <tr style="height: 67.2px;"> <td style="width: 17.3792%; height: 67.2px;">  high_intensity </td> <td style="width: 78.9512%; height: 67.2px;"> Boolean if there is a peak with a higher minimum intensity threshold. See paper for more information </td> </tr> <tr style="height: 67.2px;"> <td style="width: 17.3792%; height: 67.2px;">  spectra_counts </td> <td style="width: 78.9512%; height: 67.2px;"> A ratio of spectra bins with non-zero counts to all possible spectra bins (i.e. way to determine if too much missing spectra data). See paper for more information </td> </tr> <tr style="height: 67.2px;"> <td style="width: 17.3792%; height: 67.2px;">  raw_named_label </td> <td style="width: 78.9512%; height: 67.2px;"> Raw cluster assigned plasma region label (allowed values: magnetosheath, magnetosphere, solar wind) </td> </tr> <tr> <td style="width: 17.3792%;"> intermediate_named_label </td> <td style="width: 78.9512%;"> Cleaned cluster assigned plasma region label with only relabeling rules applied. See paper for more information </td> </tr> <tr style="height: 67.2px;"> <td style="width: 17.3792%; height: 67.2px;">  named_label </td> <td style="width: 78.9512%; height: 67.2px;"> Cleaned cluster assigned plasma region label with relabeling rules and post-processing applied (use these unless have a specific reason to use raw labels). See paper for more information </td> </tr> <tr style="height: 47.6px;"> <td style="width: 17.3792%; height: 47.6px;">  raw_transition_name </td> <td style="width: 78.9512%; height: 47.6px;"> Raw transition names (e.g. bow shock, magnetopause) based on "raw_named_label" cluster labels. See paper for more information </td> </tr> <tr style="height: 67.2px;"> <td style="width: 17.3792%; height: 67.2px;">  transition_name </td> <td style="width: 78.9512%; height: 67.2px;"> Cleaned transition names (e.g. bow shock, magnetopause) after removing likely transient transitions based on "named_label" cluster labels. See paper for more information </td> </tr> </tbody> </table>

opencc-by-4.0Oct 2024View details →

zenodo44/100

Multi-GeV Wakefield Acceleration in a Plasma-Modulated Plasma Accelerator

Input decks for the particle-in-cell code WarpX used in a new study to simulate the accelerator stage of a recently proposed laser-plasma accelerator scheme [Phys. Rev. Lett. 127, 184801 (2021)], dubbed the Plasma-Modulated Plasma Accelerator (P-MoPA).

opencc-by-4.0Oct 2023View details →

zenodo44/100

Data products and software for `X-ray diagnostics of Cassiopeia A's "Green Monster": evidence for dense shocked circumstellar plasma`

<div> <h2>Data Reproduction Package for the publication ‘X-ray diagnostics of Cassiopeia A’s “Green Monster”: evidence for dense shocked circumstellar plasma’</h2> </div> <div> <h3>Authors: Jacco Vink, Manan Agarwal, Patrick Slane, Ilse De Looze, Dan Milisavljevic, Daniel Patnaude, and Tea Temim.</h3> </div> <div> <h3>Link to paper: <a href="https://doi.org/10.3847/2041-8213/ad2fc5">https://doi.org/10.3847/2041-8213/ad2fc5</a> </h3>   </div> <div> <h4>This package was prepared by Jacco Vink and Manan Agarwal (University of Amsterdam)</h4> </div> <div> <h3>Summary</h3> </div> <div> This data reproduction package contains the data files in FITS format used to generate the figures in the paper. The data files concern the revised manuscript, which incorporates changes made in response to the journal’s referee report. </div> <div> The paper is based on Chandra X-ray Observatory (CXO) data of Cassiopeia A taken in 2004. The raw archival data used, maintained by the Chandra Data Archive, can be retrieved using the following DOI link: <a href="https://doi.org/10.25574/cdc.209">https://doi.org/10.25574/cdc.209</a>. </div> <div> Additional James Webb Space Telescope (JWST) data are stored at the Mikulski Archive for Space Telescopes (MAST) at the Space Telescope Science Institute. The data used in the paper can be downloaded through DOI link <a href="https://doi.org/10.17909/szf2-bg42">https://doi.org/10.17909/szf2-bg42</a>. </div> <div> The data produced from the above raw data are stored in the files: </div> <div> <ul> <li>green_monster_image_data.tar.gz</li> <li>spectral_files_and_models.tar.gz</li> <li>imaging_and_pca_code.tar.gz</li> <li>green_monster_pca_input_output.tar.gz</li> </ul> The repository contains JWST/MIRI mosaics of Cassiopeia A which are described in detail in the paper "A JWST Survey of the Supernova Remnant Cassiopeia A", by D. Milisavljevic, T. Temim, I. De Looze, et al.; see https://arxiv.org/abs/2401.02477, to be published in ApJ letters.    </div>

opencc-by-4.0Jan 2024View details →

zenodo44/100

Dataset for a publication: "PLLA honeycombs activated by plasma and high energy excimer laser for stem cell support"

The dataset accompanies the article "PLLA Honeycombs Activated by Plasma and High-Energy Excimer Laser for Stem Cell Support." It is organized into several subfolders, each corresponding to a different analytical method used in the study, with data presented in the manuscript. The main folder is structured as follows: <ol> <li>AFM</li> <li>Contact Angle</li> <li>Zeta Potential</li> <li>SEM</li> <li>EDS</li> <li>XPS</li> <li>Cytocompatibility</li> </ol> Each subfolder contains the relevant data associated with the specific analysis.   For more details, please read the README - Description of data and analysis informations_PS.txt file.     Dataset versions: There are no newer versions so far.

opencc-by-4.0Jul 2024View details →

zenodo44/100

Optical profilometry of the surface of debris catchers used in laser-plasma experiments at ELI-NP

<h3>3D area scans were performed using the 3D Optical Profilometer Bruker ContourX-100.</h3> Method: The setup consisted of 5x Objective, .55x field of view, 100um back scan and forward scan, and a threshold value of 2% (this threshold means that any height variation that is more than 2% of the standard deviation away from the average will be considered significant). This is considered a lenient threshold that would include a lot of noise, but given the sharpness of the features in the sample and the steep wall angles, a higher threshold value excluded too much of the features. Stitching areas were approx. 15mm x 12mm in size consisting of 20+ individual measurements, with a 20% overlap between scans. The area was chosen to include all areas of ablation visible. Data fill was used to approximate missing data in areas of high damage using the software provided data fill algorithm on Vision64 Software. Results: Data fill was considerable and introduces a lot of uncertainty. The samples are inherently rough and difficult to measure with optical techniques, so no filtering was applied. The depth of ablation areas had poor data acquisition, consequently the step profilometer was considered for more accurate measurements. Note: The files can be opened with free tools such as <a title="PROFILMONLINE" href="https://www.profilmonline.com/" target="_blank" rel="noopener">https://www.profilmonline.com/</a> .    <h3>Surface profile was performed with Dektak Pro Stylus Profilometer</h3> Method: The setup consisted of Stylus 2um diameter, 10mm length, Stylus force 10mg, resolution longitudinal 0.555um/pt, resolution quoted as sub 100nm in height. Data was averaged over 5 scans. Results: Stylus radius of 2um may smooth out the sharpest features. Debris and ablation seem to be immovable and adhered to the substrate such that the probe would not change the substrate during measurement. Multiple measurements were taken and an average of ablation depth was estimated at 10um.

opencc-by-4.0Nov 2024View details →

zenodo44/100

Raw and analyzed data to manuscript "Influence of air plasma pretreatments on mechanical properties in metal-reinforced laminated wood"

Abstract The use of wood-based materials in building and construction is constantly increasing as environmental aspects and sustainability gain importance. For structural applications, however, there are many examples where hybrid material systems are needed to fulfil the specific mechanical requirements of the individual application. In particular, metal reinforcements are a common solution to enhance the mechanical properties of a wooden structural element. Metal-reinforced wood components further help to reduce cross-sectional sizes of load-bearing structures, improve the attachment of masonry or other materials, enhance the seismic safety and tremor dissipation capacity, as well as the durability of the structural elements in highly humid environments and under high permanent mechanical load. A critical factor to achieve these benefits, however, is the mechanical joint between the different material classes, namely the wood and metal parts. Currently, this joint is formed using epoxy or polyurethane (PU) adhesives, the former yielding highest mechanical strengths, whereas the latter presents a compromise between mechanical and economical constraints. Regarding sustainability and economic viability, the utilization of different adhesive systems would be preferable, whereas mechanical stabilities yielded for metal-wood joints do not permit for the use of other common adhesive systems in such structural applications. This study extends previous research on the use of non-thermal air plasma pretreatments for the formation of wood-metal joints. The plasma treatments of Norway spruce (Picea abies (L.) Karst.) wood and anodized (E6/EV1) aluminum AlMgSi0.5 (6060) F22 were optimized, using water contact angle measurements to determine the effect and homogeneity of plasma treatments. The adhesive bond strengths of plasma-pretreated and untreated specimens were tested with commercial 2-component epoxy, PU, melamine-urea formaldehyde (MUF), polyvinyl acetate (PVAc), and construction adhesive glue systems. The influence of plasma treatments on the mechanical performance of the compounds was evaluated for one selected glue system via bending strength tests. The impact of the hybrid interface between metal and wood was isolated for the tests by using five-layer laminates from three wood lamellae enclosing two aluminum plates, thereby excluding the influence of congeneric wood-wood bonds. The effect of the plasma treatments is discussed based on the chemical and physical modifications of the substrates and the respective interaction mechanisms with the glue systems.

opencc-by-4.0Oct 2021View details →

zenodo44/100

Dataset of plasma non-esterified fatty acid concentrations response of a suckling cow exposed to a feed restriction

The detaset describes the response of a suckler cow in terms of plasma non-esterified fatty-acids (NEFA) concentrations, that was exposed to a feed restriction that consisted in the reduction of net energy requirements by 50%. The dataset has two columns, one for time (t) in days (d) and another column for plasma NEFA concentrations (g·L-1). The feed restriction started at t = 1 d and lasted untill t = 4 d. Negative values for t represent the pre-challenge period.

opencc-by-4.0Dec 2021View details →

zenodo44/100

Raw and analyzed data for manuscript "The synergistic effect of microwave drying and plasma surface treatments on the wettability of green wood"

Abstract: In spite of being a one-step solution to several problems associated with woodworking and being energy efficient, the application of microwave (MW) modification in wood research remained very limited and the promising method has practically no use in wood industries across the globe. Research done so far in this field primarily sheds light on its potential in enhancing wood permeability, treatability and uniform wood drying. While MW treatments are mostly used on wet or green wood, another modification technique, plasma, has potential benefits to synergistically enhance effects of MW treatment, but has not been applied on wet or green wood specimens, so far. This study takes a first step to investigate effects of plasma treatments (PT) on green wood specimens as well as combinations of MW and plasma treatments. As a preliminary study, the methodology focuses on water contact angle measurements, since these are most commonly used as indicators for surface modifications in industrial applications. On the investigated samples of Norway spruce (Picea abies Karst.), an exponential time dependence was found for the contact angle. Initial contact angle after droplet deposition increased due to drying and migration of organic molecules during treatments. In comparison to the literature, the effect of plasma was significantly less pronounced on wet wood specimens. The initial contact angle showed lowest statistical variations after MW treatment, whereas plasma increased inhomogeneities. The final contact angle on treated specimens was lowest for PT-only specimens as well as specimens treated with plasma after MW. In contrast to the initial contact angle, the final contact angle showed lowest variations after PT. Wetting rates were insignificantly improved by plasma, with reduced statistical variations after all treatments.

opencc-by-4.0Jan 2022View details →

zenodo44/100

Supplemental material for "Enhanced collisionless laser absorption in strongly magnetized plasmas"

This dataset constitutes supplemental material for the paper titled "Enhanced collisionless laser absorption in strongly magnetized plasmas" by Lili Manzo, Matthew R. Edwards, and Yuan Shi. • figure_data.zip When unzipped, this folder contains subfolders fig1, fig2, …, fig10, each contains data used to generate figures 1,2, …,10 in the paper. The data files are in .txt, .mat, or .dat format, and are intended to be read by MATLAB. The data underlying fig1 and fig3 are generated using the Three-Wave-MATLAB code (https://gitlab.com/seanYuanSHI/three-wave-matlab). The data underlying fig2, fig4, and figs5-10 are raw simulation data or post-processed results of the epoch1d code (https://github.com/Warwick-Plasma/epoch). • figure_programs.zip When unzipped, this folder contains plot_fig1.m, plot_fig2.m, …, plot_fig10.m, which are MATLAB scripts used to plot the corresponding data. Except for plot_fig2.m, which requires MATLAB version 2018 or later, all other scripts can run on MATLAB 2013 or later. The scripts plot the data but does not reproduce the formatting of the figures as shown in the paper. • input.deck This is an example input for the epoch1d code (version 4.17.10) used to generate simulation data in the paper.

opencc-by-4.0Jul 2022View details →

zenodo44/100

The C-terminus of the oncoprotein TGAT is necessary for plasma membrane association and efficient RhoA-mediated signaling

The figures and raw data that are presented in the paper "The C-terminus of the oncoprotein TGAT is necessary for plasma membrane association and efficient RhoA-mediated signaling"

opencc-by-4.0Dec 2017View details →

zenodo44/100

Experimental data, analysis scripts and simulations for "Emittance preservation in a plasma-wakefield accelerator"

This dataset presents the experimental data, the analysis scripts and the accompanying simulations for the article "Emittance preservation in a plasma-wakefield accelerator" by C. A. Lindstrøm et al. [<a href="https://doi.org/10.1038/s41467-024-50320-1">Nat. Commun. 15, 6097 (2024)</a>]. The data was collected at the FLASHForward facility at DESY (Hamburg, Germany). Simulations were performed using <a href="https://doi.org/10.5281/zenodo.5639467" target="_blank" rel="noopener">HiPACE++ v23.11</a>. Folder structure: <ul> <li>Folders containing experimental data: <ul> <li>Folder <code>1A_DATA__OBJECT_PLANE_SCANS</code> contains all data from object-plane scans (emittance measurements).</li> <li>Folder <code>1B_DATA__SPECTRUM_MEASUREMENT</code> contains all data from energy-spectrum measurements.</li> <li>Folder <code>1C_DATA__TWO_BPM_TOMOGRAPHY</code> contains all data from two-BPM tomography measurements.</li> <li>Folder <code>1D_DATA__BEAM_RECONSTRUCTION</code> contains all data from beam-reconstruction measurements (including longitudinal-phase-space measurements).</li> <li>Folder <code>1E_DATA__PLASMA_DENSITY</code> contains all data from plasma-density measurements (spectral-line broadening).</li> </ul> </li> <li>Folder <code>2_ANALYSIS</code> contains all the data-analysis scripts, required for plotting experimental figures.</li> <li>Folder <code>3_SIMULATION</code> contains all simulation scripts, required for generating 6D beam phase spaces and plotting simulation figures.</li> <li>Folder <code>4_FIGURES</code> contains all figure-plotting scripts (17 figures total).</li> </ul> Dataset structure: <ul> <li>Each dataset is identified by a 5-digit number (e.g., <code>14275</code>)</li> <li>Metadata and beam-synchronous scalar values are contained in a <code>.mat</code> dataset file (e.g., <code>14275.mat</code>).</li> <li>The dataset file has the following fields: <ul> <li><code>.metadata</code> containing all the generic metadata</li> <li><code>.state</code> containing all the non-beam-synchronous data (once per dataset; magnet settings etc.)</li> <li><code>.scalars</code> containing all the beam-synchronous scalar data (once per shot; BPM readings etc.)</li> <li><code>.vectors</code> containing all the beam-synchronous vector data (once per shot; scope traces etc.)</li> <li><code>.images</code> containing all the beam-synchronous image data, with relative URLs (once per shot; spectrometer images etc.)</li> </ul> </li> <li>The corresponding images (linked from the <code>.mat</code> file) are contained in the <code>images</code> folder, sorted by scan step.</li> </ul> Instructions for plotting all figures*: <ol> <li>Change directory to <code>4_FIGURES/</code></li> <li>In MATLAB, run <code>plot_all_figures();</code></li> <li>The 4 main figures and 13 supplementary figures will be plotted</li> </ol> Instructions for generating the 6D phase space for simulations*: <ol> <li>Change directory to<code> 3_SIMULATION/input_beam_generation/</code></li> <li>In MATLAB, run <code>generate_beam_and_plasma();</code></li> <li>The full analysis will up to several minutes (the files are stored in the <code>_files</code> folder)</li> </ol> Instructions for performing HiPACE++ simulations*: <ol> <li>Change directory to e.g. <code>3_SIMULATION/simulations/experimental_cell_50mm/</code></li> <li>The HiPACE++ input file is called <code>input_file</code></li> <li>This file refers to the plasma profile (<code>plasma_short.csv</code>) and beam files (<code>beam.h5</code> and <code>driver.h5</code>) found in <code>3_SIMULATION/run_notebooks/inputs/</code></li> </ol> Instructions for re-performing all the analysis*: <ol> <li>Change directory to <code>2_ANALYSIS/</code></li> <li>In MATLAB, run <code>run_all_analyses();</code></li> <li>The full analysis will up to several hours (the files are stored in various <code>_files</code> folders)</li> </ol> * The scripts use UNIX system calls and are only compatible with Linux and Mac, but not Windows.

opencc-by-4.0Jun 2024View details →

zenodo44/100

Data for a publication "Argon plasma-modified bacterial nanocellulose: Cell-specific differences in the interaction with fibroblasts and endothelial cells"

A dataset containing data for the published article "Argon plasma-modified bacterial nanocellulose: Cell-specific differences in the interaction with fibroblasts and endothelial cells".   For more details, please read the README - Description of data and analysis informations.txt file. Dataset versions: V1: The first dataset containing a majority of the data. V2: Dataset contains all the data mentioned in the article in the appropriate file formats for long-term preservation and accessibility.

opencc-by-4.0Jan 2024View details →

zenodo44/100

Data from: PIC/Fluid Simulations of the Plasma Expansion in a Magnetic Arch

<h2>Data from: PIC/Fluid Simulations of the Plasma Expansion in a Magnetic Arch</h2> <ul> <li>Authors: Matteo Guaita, Eduardo Ahedo, Mario Merino</li> <li>Contact email: mguaita@pa.uc3m.es</li> <li>Date: 17/07/2024</li> <li>Keywords: Plasma Physics, Plasma Plumes, Magnetic Nozzles, Facility Effects, Particel in Cell</li> <li>Version: 1.0.0</li> <li>Digital Object Identifier (DOI): 10.5281/zenodo.12751281</li> <li>License: This dataset is made available under the <a href="http://opendatacommons.org/licenses/by/1.0/" target="_blank" rel="noopener">Open Data Commons Attribution License</a></li> </ul> <h2>Abstract</h2> This dataset contains the data from the simulations presented in the article published Plasma Sources Science and Technology (PSST): "PIC/Fluid Simulations of the Plasma Expansion in a Magnetic Arch" DOI: <a href="https://doi.org/10.1088/1361-6595/adab8e">https://doi.org/10.1088/1361-6595/adab8e</a> The data in this repository is the result of several hybrid fluid/PIC simulations as described in the reference. For further information on the setup, numerical parameters and physical meaning of the simulations please refer to the article} <h2>Dataset description</h2> The simulations that produced the datasets in this repository were run with the planar, polytropic version of EP2PLUS. The data is at steady-state, and has been averaged over the last 200 simulation time-steps to reduce numerical noise. This averaging has been performed directly by the code through time-step accumulation techniques. <h2>Data files</h2> Each HDF5 data-group contains the mesh coordinates and plasma properties at steady-state of a specific simulation. In particular the naming convention is the following: <ul> <li>Chi30.hdf5: Contains the results of the "reference simulation" presented first in the article. For this simulation the hall parameter is assumed uniform and equal to 30</li> <li>Chi3.hdf5: Contains the results of the simulation with a reduced magnetic field and a uniform hall parameter equal to 3</li> <li>Chi10.hdf5: Contains the results of the simulation with a reduced magnetic field and a uniform hall parameter equal to 10</li> <li>Chi150.hdf5: Contains the results of the simulation with an increased magnetic field and a uniform hall parameter equal to 150</li> <li>Big_Domain.hdf5: Contains the results of the simulation with a doubled domain size and a uniform hall parameter equal to 150</li> <li>In-Space.hdf5: Contains the results of the simulation with in-space boundary conditions on the electron currents and a hall parameter equal to 150</li> <li>BGP.hdf5: Contains the results of the simulation that considers the presence of neutral particles and of a uniform neutral background density representing the facility background</li> </ul> In each of these data-groups the quantities are given at the nodes of the simulation mesh: <ul> <li>xs: Physical x coordinates [m]</li> <li>zs: Physical z coordinates [m]</li> <li>Bx: Magnetic field along x [T]</li> <li>Bz: Magnetic field along z [T]</li> <li>n: Plasma (ion) density [1/m³]</li> <li>phi: electric potential [V]</li> <li>Phi: Thermalized potential [V]</li> <li>ji_x: Ion current along x [A/m²]</li> <li>ji_y: Ion current along y [A/m²]</li> <li>ji_z: Ion current along z [A/m²]</li> <li>je_x: Electron current along x [A/m²]</li> <li>je_y: Electron current along y [A/m²]</li> <li>je_z: Electron current along z [A/m²]</li> </ul> In the datafiles of the BGP simulation note that "fi" and "si" stand respectively for fast and slow ions, and that the following additional data is provided: <ul> <li>nn: Neutral density [1/m³]</li> <li>fn_x: Neutral flux along x [1/(m² s)]</li> <li>fn_y: Neutral flux along y [1/(m² s)]</li> <li>fn_z: Neutral flux along z [1/(m² s)]</li> </ul> Note that all the other quantities shown in the article may be obtained from the ones saved here by simply remembering that the gas employed is Xenon and that all ions are singly charged. <h2>Citation</h2> Any works using this dataset or any part of it in any form shall cite it as follows. The BibTeX entry s provided for convenience: @dataset{sim_data_guai25a,   author       = {Matteo Guaita and Eduardo Ahedo and Mario Merino},   title            = {{Data from: PIC/Fluid Simulations of the Plasma Expansion in a Magnetic Arch}},   month       = July,   year            = 2024,   publisher  = {Zenodo},   version      = {1.0.1},   doi              = {10.5281/zenodo.12751281},   url              = {https://doi.org/10.5281/zenodo.12751281} } The journal article associated with this data-set shall also be cited as follows: @article{guai25a, doi                = {10.1088/1361-6595/adab8e}, year              = {2025}, month         = {jan}, publisher    = {IOP Publishing}, author         = {M Guaita and E Ahedo and M Merino}, title              = {PIC/Fluid simulations of the plasma expansion in a planar magnetic arch}, volume        = {34}, number       = {1}, pages           = {015007}, journal         = {Plasma Sources Science and Technology}, } <h2>Acknowledgments</h2> This dataset was created by the <a href="https://erc-zarathustra.uc3m.es/">ERC-ZARATHUSTRA project</a>. The ERC-ZARATHUSTRA project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 950466).

opencc-by-4.0Jul 2024View details →

zenodo44/100

Data for manuscript "Lightwave-controlled relativistic plasma mirrors" by Marie Ouillé, Jaismeen Kaur; Zhao Cheng ,Stefan Haessler and Rodrigo Lopez-Martens

Data shown in figures 2, 3 and 4 of the manuscript  "Lightwave-controlled relativistic plasma mirrors" by Marie Ouillé, Jaismeen Kaur; Zhao Cheng ,Stefan Haessler and Rodrigo Lopez-Martens, availble as a preprint here:   <a href="https://arxiv.org/abs/2406.06396">arXiv:2406.06396</a>.

opencc-by-4.0Jun 2024View details →

zenodo44/100

Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards

<h1>Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards</h1> In this community effort, we compared measurements between 34 laboratories from 19 countries, utilizing mixtures of labelled authentic synthetic standards, to quantify by mass spectrometry four clinically used ceramide species in the NIST (National Institute of Standards and Technology) human blood plasma Standard Reference Material (SRM) 1950, as well as new suite of candidate plasma reference materials (RM 8231). Participants either utilized a provided validated method (SOP) and/or their method of choice (OTHER). Mean concentration values, and intra- and inter-laboratory coefficients of variation (CV) were calculated using single-point and multi-point calibrations, respectively. The attached file "ILS-Ceramide-Ring-Trial-Datasets.csv"  and the table below map the lab number (LabNum) used in the manuscript in all plots to the originally assigned submission Id (LabId) used in <a href="https://github.com/lifs-tools/ils-ceramide-ring-trial/tree/main/data/original-reports" target="_blank" rel="noopener">the anonymized reports </a>containing the peak areas submitted by each lab for their SOP (Standard) and / or OTHER (Preferred) workflow. The table below provides further information on the separation used (LC), the mass analyzer type (QQQ=Triple Quads and Traps, Orbitrap, TOF) and the associated mass analyzer resolution (LowRes, HighRes), and links each LabNum to the corresponding dataset name and Zenodo DOI, if available. In order to retain the anonymity of all participating labs w.r.t. the submitted datasets, only the converted mzML files are provided in the linked submissions. Please note that labs were free to choose whether they wanted to disclose their MS data or not. Thus, missing datasets indicate that the corresponding lab did not provide their raw / mzML data.  All reports together with the code for analysis and visualization, reproducing the figures in the manuscript, are available under the following doi: <a href="../doi/10.5281/zenodo.10081970" target="_blank" rel="noopener">https://zenodo.org/doi/10.5281/zenodo.10081970</a>. This links to releases of the following GitHub repository: <a href="https://github.com/lifs-tools/ils-ceramide-ring-trial">https://github.com/lifs-tools/ils-ceramide-ring-trial</a>.  <h2>Ring Trial mzML Datasets</h2> <table> <tbody> <tr> <th>LabNum</th> <th>LabId</th> <th>Protocol</th> <th>LC</th> <th>MassAnalyzerType</th> <th>MassAnalyzerResolution</th> <th>DatasetName</th> <th>DOI</th> </tr> <tr> <td>1</td> <td>02b</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_01_SOP</td> <td><a href="https://doi.org/10.5281/zenodo.13134264" target="_blank" rel="noopener">10.5281/zenodo.13134264</a></td> </tr> <tr> <td>2</td> <td>3</td> <td>OTHER</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_02_OTHER</td> <td><a href="https://doi.org/10.5281/zenodo.13145059" target="_blank" rel="noopener">10.5281/zenodo.13145059</a></td> </tr> <tr> <td>3</td> <td>4</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_03_SOP</td> <td><a href="https://doi.org/10.5281/zenodo.13134437" target="_blank" rel="noopener">10.5281/zenodo.13134437</a></td> </tr> <tr> <td>4</td> <td>5</td> <td>OTHER</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_04_OTHER</td> <td> </td> </tr> <tr> <td>5</td> <td>7</td> <td>OTHER</td> <td>RP</td> <td>Orbitrap</td> <td>HighRes</td> <td>Lab_05_OTHER</td> <td><a href="https://doi.org/10.5281/zenodo.13134439" target="_blank" rel="noopener">10.5281/zenodo.13134439</a></td> </tr> <tr> <td>6</td> <td>9</td> <td>OTHER</td> <td>FIA</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_06_OTHER</td> <td><a href="https://doi.org/10.5281/zenodo.13134441" target="_blank" rel="noopener">10.5281/zenodo.13134441</a></td> </tr> <tr> <td>7</td> <td>10a</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_07_SOP</td> <td><a href="https://doi.org/10.5281/zenodo.13134445" target="_blank" rel="noopener">10.5281/zenodo.13134445</a></td> </tr> <tr> <td>7</td> <td>10b</td> <td>OTHER</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_07_OTHER</td> <td><a href="https://doi.org/10.5281/zenodo.13134443" target="_blank" rel="noopener">10.5281/zenodo.13134443</a></td> </tr> <tr> <td>8</td> <td>12</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_08_SOP</td> <td><a href="https://doi.org/10.5281/zenodo.13134447" target="_blank" rel="noopener">10.5281/zenodo.13134447</a></td> </tr> <tr> <td>9</td> <td>13</td> <td>OTHER</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_09_OTHER</td> <td> </td> </tr> <tr> <td>10</td> <td>14</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_10_SOP</td> <td> </td> </tr> <tr> <td>11</td> <td>15</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_11_SOP</td> <td><a href="https://doi.org/10.5281/zenodo.13134449" target="_blank" rel="noopener">10.5281/zenodo.13134449</a></td> </tr> <tr> <td>12</td> <td>16</td> <td>OTHER</td> <td>RP</td> <td>Orbitrap</td> <td>HighRes</td> <td>Lab_12_OTHER</td> <td><a href="https://doi.org/10.5281/zenodo.13134451" target="_blank" rel="noopener">10.5281/zenodo.13134451</a></td> </tr> <tr> <td>13</td> <td>17a</td> <td>OTHER</td> <td>RP</td> <td>TOF</td> <td>HighRes</td> <td>Lab_13_OTHER</td> <td> </td> </tr> <tr> <td>14</td> <td>18a</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_14_SOP</td> <td><a href="https://doi.org/10.5281/zenodo.13135617" target="_blank" rel="noopener">10.5281/zenodo.13135617</a></td> </tr> <tr> <td>14</td> <td>18b</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_14_SOP</td> <td><a href="https://doi.org/10.5281/zenodo.13135617" target="_blank" rel="noopener">10.5281/zenodo.13135617</a></td> </tr> <tr> <td>15</td> <td>19</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_15_SOP</td> <td><a href="https://doi.org/10.5281/zenodo.13135625" target="_blank" rel="noopener">10.5281/zenodo.13135625</a></td> </tr> <tr> <td>16</td> <td>20a</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_16_SOP</td> <td> </td> </tr> <tr> <td>16</td> <td>20b</td> <td>OTHER</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_16_OTHER</td> <td> </td> </tr> <tr> <td>17</td> <td>21</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_17_SOP</td> <td> </td> </tr> <tr> <td>18</td> <td>22</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_18_SOP</td> <td><a href="https://doi.org/10.5281/zenodo.13135627" target="_blank" rel="noopener">10.5281/zenodo.13135627</a></td> </tr> <tr> <td>19</td> <td>23</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_19_SOP</td> <td><a href="https://doi.org/10.5281/zenodo.13135629" target="_blank" rel="noopener">10.5281/zenodo.13135629</a></td> </tr> <tr> <td>20</td> <td>24</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_20_SOP</td> <td> </td> </tr> <tr> <td>21</td> <td>25</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_21_SOP</td> <td><a href="../doi/10.5281/zenodo.13244007" target="_blank" rel="noopener">10.5281/zenodo.13244007</a></td> </tr> <tr> <td>22</td> <td>26a</td> <td>OTHER</td> <td>FIA</td> <td>Orbitrap</td> <td>HighRes</td> <td>Lab_22_OTHER</td> <td> </td> </tr> <tr> <td>22</td> <td>26b</td> <td>OTHER</td> <td>FIA</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_22_OTHER</td> <td> </td> </tr> <tr> <td>23</td> <td>27</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_23_SOP</td> <td><a href="https://doi.org/10.5281/zenodo.13135632" target="_blank" rel="noopener">10.5281/zenodo.13135632</a></td> </tr> <tr> <td>24</td> <td>28</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_24_SOP</td> <td><a href="https://doi.org/10.5281/zenodo.13135634" target="_blank" rel="noopener">10.5281/zenodo.13135634</a></td> </tr> <tr> <td>25</td> <td>29a</td> <td>SOP</td> <td>RP</td> <td>TOF</td> <td>HighRes</td> <td>Lab_25_SOP</td> <td><a href="https://doi.org/10.5281/zenodo.13136167" target="_blank" rel="noopener">10.5281/zenodo.13136167</a></td> </tr> <tr> <td>25</td> <td>29b</td> <td>OTHER</td> <td>SFC</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_25_OTHER</td> <td><a href="https://doi.org/10.5281/zenodo.13135638" target="_blank" rel="noopener">10.5281/zenodo.13135638</a></td> </tr> <tr> <td>26</td> <td>30</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_26_SOP</td> <td><a href="https://doi.org/10.5281/zenodo.13136171" target="_blank" rel="noopener">10.5281/zenodo.13136171</a></td> </tr> <tr> <td>27</td> <td>31</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_27_SOP</td> <td><a href="https://doi.org/10.5281/zenodo.13136176" target="_blank" rel="noopener">10.5281/zenodo.13136176</a></td> </tr> <tr> <td>28</td> <td>32</td> <td>OTHER</td> <td>RP</td> <td>TOF</td> <td>HighRes</td> <td>Lab_28_OTHER</td> <td> </td> </tr> <tr> <td>29</td> <td>33</td> <td>OTHER</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_29_OTHER</td> <td> </td> </tr> <tr> <td>30</td> <td>34</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_30_SOP</td> <td> </td> </tr> <tr> <td>31</td> <td>35</td> <td>OTHER</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_31_OTHER</td> <td> </td> </tr> <tr> <td>32</td> <td>36</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_32_SOP</td> <td><a href="../doi/10.5281/zenodo.13166454" target="_blank" rel="noopener">10.5281/zenodo.13166454</a></td> </tr> <tr> <td>33</td> <td>37</td> <td>OTHER</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_33_OTHER</td> <td><a href="../doi/10.5281/zenodo.13732469" target="_blank" rel="noopener">10.5281/zenodo.13732469</a></td> </tr> <tr> <td>34</td> <td>38</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_34_SOP</td> <td><a href="../doi/10.5281/zenodo.13324807" target="_blank" rel="noopener">10.5281/zenodo.13324807</a></td> </tr> </tbody> </table>

opencc-by-4.0Jul 2024View details →

zenodo44/100

Amine metabolites in pigs fed a diet with spray dried plasma protein as functional protein source

We evaluated the effects of diets formulated with either soybean meal (SBM) as a reference protein source or SDPP in pigs. Blood amine profiles were analysed to evaluate the effects of the diets at a systemic level. Blood samples were collected via the ear-vein for  plasma preparation at at dissection days (d28-29) after the morning meal ingestion.  For plasma, blood samples were collected in sterile Vacuette tubes containing lithium-heparin and immediately centrifuged at 3,000x g for 10 min at 4°C and plasma was extracted. Plasma were stored at -80°C for further analysis on levels ofsystemic amine metabolite profiles.  The protocol outlined in the following publication was used for detecting plasma amine levels: <ul> <li>Noga MJ, Dane A, Shi S, Attali A, van Aken H, Suidgeest E, et al. Metabolomics of cerebrospinal fluid reveals changes in the central nervous system metabolism in a rat model of multiple sclerosis. Metabolomics. 2012;8(2):253-63.</li> <li>van der Kloet FM, Bobeldijk I, Verheij ER, Jellema RH. Analytical Error Reduction Using Single Point Calibration for Accurate and Precise Metabolomic Phenotyping. Journal of Proteome Research. 2009;8(11):5132-41.</li> </ul>

opencc-by-4.0Aug 2024View details →

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Last verified 2026-04-30Open record

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dandi-nwb

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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.

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behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.

Last verified 2026-04-29Open record

OpenNeuro

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Last verified 2026-04-29Open record