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1,028 results for “Protons”
Proton dissociation and delocalization under stepwise hydration of zeolite HZSM-5
<p>This is a data archive for the publication: </p><p>"Proton dissociation and delocalization under stepwise hydration of zeolite HZSM-5" John H. Hack, Xinyou Ma, Yaxin Chen, James P. Dombrowski, Nicholas H. C. Lewis, Chenghan Li, Harold H. Kung, Gregory A. Voth, and Andrei Tokmakoff. The Journal of Physical Chemistry C <strong>2023</strong> <i>127</i> (32), 16175-16186. DOI: 10.1021/acs.jpcc.3c03611</p>
Dataset for Stable laser-acceleration of high-flux proton beams with plasma collimation
<p>This repository contains data and analysis code in support of the publication "Stable laser-acceleration of high-flux proton beams with plasma collimation" in Nature Communications. It contains processed experimental data and the code required to produce plots contained within the publication. It also contains inputs and analysis for simulations used to interpret the experimental findings.</p>
MadGraph proton pair to top pair sample dataset (100 events)
<p>This is a small dataset for the purpose of code testing and examples with the HEP + ML packages produced to aid the research at the University of Southampton.</p>
Supporting data for "Modeling the albedo neutron decay source of radiation belt electrons and protons"
<p>Data sets are provided in support of the publication to appear in JGR-Space Physics. They include tabulated values of computed albedo neutron flux above the atmosphere, and of resulting radiation belt electron and proton source functions. Data format is described in the README files.</p>
Data from: Operando Proton Transfer Reaction-Time of Flight-Mass Spectrometry of Carbon Dioxide Reduction Electrocatalysis
<p>Seven top-level folders</p> <p>GC-PTR-TOF-MS<br> - Raw data and Jupyter Notebook used for analysis of GC-PTR-TOF-MS data</p> <p>LSV-PTR-TOF-MS<br> - Raw data and Jupyter Notebook used for analysis of PTR-TOF-MS data under linear sweep voltammetry</p> <p>MSCP-PTR-TOF-MS<br> - Raw data and Jupyter Notebook used for analysis of PTR-TOF-MS data under multi-step chronopotentiometry</p> <p>PTR-TOF-MS-Calibration<br> - Raw data and Jupyter Notebook used for analysis of PTR-TOF-MS calibration data</p> <p>SEM<br> - Raw images from scanning electron microscope</p> <p>Stability<br> - Raw data of electrochemical stability</p> <p>TEM<br> - Raw images from transmission electron microscopy</p>
Fabrication and characterization of a multimodal 3D printed mouse phantom for ionoacoustic quality assurance in image-guided pre-clinical proton radiation research
<p>Dataset related to the publication: "Fabrication and characterization of a multimodal 3D printed mouse phantom for ionoacoustic quality assurance in image-guided pre-clinical proton radiation research"</p>
Uncovering the Mechanism of the Proton-Coupled Fluoride Transport in the CLCF Antiporter
<p>Input and structure files for the All Atom Molecular Dynamics simulations and Umbrella Sampling simulations performed to determine the transport mechanism of the CLC<sup>F</sup> F<sup>-</sup>/H<sup>+ </sup>antiporter protein.</p> <p>The tar file contains two directories:</p> <p>1. AA-MD: 4 sets of prmtop and inpcrd files representing each combination of protonation states for Glu<sub>ext</sub> and Glu<sub>int</sub>. Also contains the input files used to run the simulations in Amber20</p> <p>2. Umbrella Sampling: Similar to AA-MD, there are 4 sets of files for the differing protonation states, but each set contains 47 separate prmtop and inpcrd files, one for each window used in the umbrella sampling simulations. Also contains the input files used to run the simulations in Amber20</p> <p> </p> <p> </p>
Supplementary Materials "Isolated proton bunch acceleration by a petawatt laser pulse": 3D3V Input Files and Plot Data Figure 3
<p><strong>PIConGPU Simulation Input + Code</strong></p> <p>3D3V simulations are based on a pre-release of PIConGPU 0.2.0 [1]</p> <p>Directory: hilz-darmstadt-2707-3D<br> - branch with all applied & backported patches<br> - input files: code/examples/SphereDarmstadt/</p> <p>[1] DOI:10.5281/zenodo.168390</p> <p> </p> <p><strong>Data</strong></p> <p>data behind simulation plots in Fig 2c and Fig 3.</p>
Crystal structures and hkl data associated with paper 'The curious case of proton migration under pressure in the malonic acid and 4,4′-bipyridine cocrystal'
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Lattice Boltzmann simulation of liquid water transport in gas diffusion layers of proton exchange membrane fuel cells: Impact of gas diffusion layer and microporous layer degradation on effective transport properties
<p><span>Underlying data to publication Sarkezi-Selsky et al., <em>J. Pow. Sour.</em> 556 (2023) 232415,<span> https://doi.org/10.1016/j.jpowsour.2022.232415</span> <br><br>Polymer Electrolyte Membrane Fuel Cells (PEMFCs) represent a promising technology for clean drivetrain solutions, in particular for heavy-duty applications. However, lifetime requirements demand high durability of each cell component.<br></span><span>In this work, transport of liquid water through pristine and degraded gas diffusion layers (GDL) was simulated with a 3D Color-Gradient Lattice Boltzmann model. The GDL microstructure was reconstructed </span><span>from high-resolution X-ray micro-computed tomography (</span><span>μ</span><span>-CT) of an impregnated Freudenberg H14. The </span><span>effect of a microporous layer (MPL) was considered by reconstruction of an impregnated and MPL-coated H14. Aged microstructures were generated artificially, assuming loss of polytetrafluoroethylene (PTFE) within the GDL and increase of MPL macroporosity as main degradation mechanisms. Liquid water transport within aged microstructures was simulated by imposing a liquid phase flow rate until breakthrough was reached. Subsequently, the GDL microstructures were analyzed for their breakthrough characteristics by means of saturation and effective gas transport properties. When the MPL was pristine, no distinct GDL degradation effect was observable, this was attributed to the MPL dominating capillary transport. MPL aging, however, led to increased saturations and thus to a deterioration of the effective gas transport. With a partially degraded MPL, aging of the GDL then appeared to affect the breakthrough characteristics.</span></p>
METADATA for results of irradiation-induced complex DNA damage measurements using plasmid pBR322 along a typical Proton Treatment Plan at the MedAustron proton and carbon beam therapy facility (energy 137–198 MeV and Linear Energy Transfer (LET) range 1–9 keV/μm), by means of Agarose Gel Electrophoresis and DNA fragmentation using Atomic Force Microscopy (AFM)
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Data Sets ''Proton Pump Inhibitor Omeprazole Alters the Spiking Characteristics of Proteinoids''
<p>Data Sets for the paper ''Proton Pump Inhibitor Omeprazole Alters the Spiking Characteristics of Proteinoids''</p>
Supporting Data for "Proton transfer in nonpolar solvents: an approach to generate electrolytes in aprotic media" (Phys. Chem. Chem. Phys., doi:10.1039/c8cp02349b)
<p>Conductivity data for all cation-anion pairs [units given in the header for each column].</p> <p>Small-angle neutron scattering (SANS) data (Q [1/Å], I(Q) [SAXS - arbitrary, SANS - 1/cm], error I(Q) [same units]) of PLMA48 as a 2 wt % solution in n-dodecande-d26.</p>
Artistic representation of a proton-deuteron interaction
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The Impact of the 8-10 March 2012 Geomagnetic Storm on Inner Zone Protons as Measured by Van Allen Probes
<p>Dataset for manuscript</p> <p>ctr.mat: test-particle count, Fig4</p> <p>psdgoes.mat, psdob0.mat: PSD from RD, Fig5, 6, 8</p> <p>mar2012-ts05-flux-777001.txt, mar2012-ts05-flux-777003.txt: test-particle trajectories, Fig7</p> <p> </p>
Artistic representation of a proton-deuteron interaction with proton-proton event in the back
<p>This image represents the proton-deuteron hadronic interaction shown with a high-energy proton-proton event in the back. </p>
Neural-network-based molecular dynamics simulations reveal that proton transport in water is doubly gated by sequential hydrogen-bond exchange: Neural network potentials training data
<h1>Neural network potentials of an excess proton in bulk water, training data</h1> <p>This dataset contains 2188 configurations labeled at two hybrid DFT levels (revPBE0-D3 and B3LYP-D3).</p> <p>The configurations are given as a single XYZ file: configurations.xyz</p> <p>The box dimensions are written in box.txt</p> <p>The energies for all configurations at a given level of theory are written in energies_LEVEL.txt (one configuration per line)</p> <p>The atomic forces for each configuration at a given level of theory are gathered in a XYZ file: forces_LEVEL.xyz</p> <p>The relative displacements of the Wannier centroids, with respect to the closest oxygen atom, for each configuration at a given level of theory, are in the following XYZ file: wannier-centroids-displacements_LEVEL.xyz</p>
Dataset to accompany publication "Photodeposition-Based Synthesis of TiO2@IrOx Core-Shell Catalyst for Proton-Exchange Membrane Water Electrolysis with Low Iridium Loading"
<h2>Dataset description</h2> <p>This dataset provides the raw data for the manuscript "Photodeposition-Based Synthesis of TiO<sub>2</sub>@IrO<sub>x</sub> Core-Shell Catalyst for Proton-Exchange Membrane Water Electrolysis with Low Iridium Loading"<strong> </strong>published in <em>Advanced Science </em>on 14 June 2024 (DOI: <a href="https://doi.org/10.1002/advs.202402991">https://doi.org/10.1002/advs.202402991</a>).</p> <p>The data consists of:</p> <ol> <li>XRD pattern of TiO<sub>2</sub>@IrO<sub>x</sub> (40 wt% Ir) as shown in Fig. 3e.</li> <li>XPS spectra of 3 samples: <strong>2.1</strong> TiO<sub>2</sub>@IrO<sub>x</sub> (40 wt% Ir) as shown in Fig. 3f.; <strong>2.2 </strong>TiO<sub>2</sub>@IrO<sub>x</sub> (only shell) as shown in Fig. 3g; <strong>2.3</strong> TiO<sub>2</sub>@IrO<sub>x</sub> (photodeposited seeds) as shown in Fig. S8.</li> <li>Datasets for NanoCT of the TiO<sub>2</sub>@IrO<sub>x</sub> catalyst layer as shown in Fig. 5 a-c : <strong>3.1</strong> HRES Tilt series; <strong>3.2 </strong>reconstructed slices.</li> </ol> <h2>Abstract</h2> <p>The widespread application of green hydrogen production technologies requires cost reduction of crucial elements. To achieve this, a viable pathway to reduce the iridium loading in proton exchange membrane water electrolysis (PEMWE) is explored. Herein, we present a scalable synthesis method based on a photodeposition process for a TiO<sub>2</sub>@IrO<sub>x</sub> core-shell catalyst with a reduced iridium content as low as 40 wt%. Using this synthesis route, we obtain titania support particles homogeneously coated with a thin iridium oxide shell of only 2.1 ± 0.4 nm. The catalyst exhibits not only high ex situ activity, but also decent stability compared to commercially available catalysts. Furthermore, the unique core-shell structure provides a threefold increased electrical powder conductivity compared to structures without the shell. In addition, the low iridium content facilitates the fabrication of sufficiently thick catalyst layers at decreased iridium loadings mitigating the impact of crack formation in the catalyst layer during PEMWE operation. We demonstrate that the novel TiO<sub>2</sub>@IrO<sub>x</sub> core-shell catalyst clearly outperforms the commercial reference in single-cell tests with an iridium loading below 0.3 mg<sub>Ir</sub> cm<sup>‑2 </sup>exhibiting a superior iridium-specific power density of 17.9 kW g<sub>Ir</sub><sup>-1 </sup>compared to 10.4 kW g<sub>Ir</sub><sup>-1 </sup>for the commercial reference.</p>
Nitride protonation and NH3 binding versus N–H bond cleavage in uranium nitrides
<p>The conversion of metal nitrides to NH3 is an essential step in dinitrogen fixation, but there is limited knowledge of the reactivity of nitrides with protons (H+). Herein, we report comparative studies for the reactions of H+ and NH3 with uranium nitrides, containing different types of ancillary ligands. We show that the differences in ancillary ligands, leads to dramatically different reactivity. The nitride group, in nitride-bridged cationic and anionic diuranium(IV) complexes supported by –N(SiMe3)2 ligands, is resistant toward protonation by weak acids, while stronger acids result in ligand loss by protonolysis. Moreover, the basic –N(SiMe3)2 ligands promote the N–H heterolytic bond cleavage of NH3, yielding a “naked” diuranium complex containing three bridging ligands, a nitride (N3) and two NH2 ligands. Conversely, in the nitride-bridged diuranium(IV) complex supported by –OSi(OtBu)3 ligands, the nitride group is easily protonated to afford NH3, which binds the U(IV) ion strongly, resulting in a mononuclear U–NH3 complex, where NH3 can be displaced by addition of strong acids. Furthermore, the U– OSi(OtBu)3 bonds were found to be stable, even in the presence of stronger acids, such as NH4BPh4, therefore indicating that –OSi(OtBu)3 supporting ligands are well suited to be used when acidic conditions are required, such as in the H+/e mediated catalytic conversion of N2 to NH3.</p>
AHEAD2020 WP9.8 Soft Proton Response Matrix
<p>Low energy (< 300 keV) protons entering the field of view of the XMM-Newton telescope and scattering with the mirror surface are observed in the form of a sudden increase in the background level. Such flaring events, affecting about 30-40% of the XMM-Newton observing time, can hardly be disentangled from true X-ray events and cannot be rejected on board. All future high throughput gracing incidence X-ray telescopes operating outside the radiation belts (e.g. ATHENA) are potentially affected by soft proton induced contamination that must be foreseen and limited since the design phase. On the other side, a clear description of the interaction model would link the observed soft proton spectra by XMM-Newton to the ones hitting the telescope pupil, mapping the low energy particle environment along its orbit.</p> <p>Thanks to the latest validation studies on the physics models describing the reflection process of protons at grazing angles, we build a proton response matrix for the XMM-Newton and ATHENA missions, describing the effective area and energy redistribution of protons entering the mirror aperture. The simulation pipeline comprises two independent simulation frameworks for the X-ray optics reflectivity, based on ray-tracing and Geant4, and a Geant4 simulation for the proton transmission efficiency caused by the combination of optical filters, on-chip electrodes and the detection depletion regions, requiring a detailed mass model of the focal plane assemblies.</p> <p>The response matrix for protons will allow a better understanding of the proton radiation environment, with the aim of modeling the in-flight non X-ray background of current and future X-ray focusing telescopes. The XMM-Newton matrix will be used to analyze the mean energy spectra of the background flares, converting the mission into a “proton telescope”, while characterizing its particle background. The matrices for the ATHENA telescope will allow for a fast evaluation of the soft proton induced background for any input population, driving the design of shielding solutions.</p> <p>The response matrix is formatted according to the NASA OGIP (Office of Guest Investigators Program) calibration database (caldb) format, and it consists of an RMF and ARF file in FITS (Flexible Image Transport System) format. X-ray data analysis tools available to the X-ray astronomy community such as Xspec and SPEX can be used to simulate or analyse the soft proton-induced background spectra.</p> <p>The research leading to these results has received funding from the European Union’s Horizon 2020 Programme under the AHEAD2020 project (grant agreement n. 871158).</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.