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1,028 results for “Protons”
An experimental study of proton implantation in olivine
<p>This repository contains all NRRA analyses that were used in the related publication DOI: 10.1007/s00269-023-01234-9. </p> <p>The filenames contain the following information:<br> "sample_#implantation_fluence(at/cm²)_energy(keV)"</p> <p><br> There are two file types per measurement which are <br> (i) a .dat file that contains 4 columns that are, from left to right: beam energy (MeV), Hydrogen Concentration (at%), Uncertainty in Hydrogen Concentration (at%), and accumulated beam charge (microColoumb). .dat files can be opened using any text editor or Excel.<br> (ii) a pdf file that contains an overview of the measurement parameters and a plot of the resulting depth profiles.</p>
Spatio-temporal dynamics of the proton motive force on single bacteria - dataset
<p>Data set used in our manuscript "Spatio-temporal dynamics of the proton motive force on single bacteria" [<a href="https://www.biorxiv.org/content/10.1101/2023.04.03.535353v1">Biorxiv</a>].</p> <p> </p> <p>To produce fig1 and fig2, unzip file in bash:</p> <pre><code class="language-bash">$ 7z e data_fig1_fig2.7z</code></pre> <p>Open fig1 data in python:</p> <pre><code class="language-python">> b = pickle.load(open('fig1.p', 'rb')) > b {'speed_Hz': array([-34.01139986, 13.07744575, 79.66060694, ..., -4.79440373, -4.88539275, -0.1366687 ]), 'speed_Hz_f': array([-11.11722186, 15.74953016, 32.24685265, ..., 20.11726694, -3.54263861, -36.89432049]), 'laser': array([0., 0., 0., ..., 0., 0., 0.]), 'FramesPerSecond': 5000.0}</code></pre> <p>where</p> <p>b['speed_Hz'] : speed trace in Hz</p> <p>b['speed_Hz_f'] : speed trace in Hz, savgol filtered (5th order, 41 points)</p> <p>b['laser'] : laser trace in arbitrary units</p> <p>b['FramesPerSecond'] : camera frame acquisition rate</p> <p> </p> <p>Open fig2 data:</p> <pre><code class="language-python">> a = pickle.load(open('fig2.p','rb')) > a {11: {'speed_Hz': array([ 16.2828179 , 38.42508915, 94.68772452, ..., -12.24519659, 160.68335892, 114.39589274]), 'speed_Hz_f': array([ 25.8833788 , 31.87792607, 37.33062434, ..., 66.97264585, 91.38908923, 122.73732123]), 'laser': array([555950., 554818., 555193., ..., 0., 0., 0.]), 'FramesPerSecond': 10000.0}, 12: {'speed_Hz': array([ 57.41541418, 24.4936895 , 248.68571544, ..., 86.08667522, -46.11733599, 18.16993041]), 'speed_Hz_f': array([102.04557049, 91.82376088, 84.51288552, ..., 33.63965888, 16.31075159, -5.36834171]), 'laser': array([555950., 554818., 555193., ..., 0., 0., 0.]), 'FramesPerSecond': 10000.0}, 21: {'speed_Hz': array([ -57.50587524, 74.55546084, 65.87878605, ..., -197.26554361, 140.95754077, 52.72452236]), 'speed_Hz_f': array([-24.36465769, 22.9146126 , 49.48957346, ..., 47.67536653, 43.44702708, 36.80127664]), 'laser': array([0., 0., 0., ..., 0., 0., 0.]), 'FramesPerSecond': 10000.0}, 22: {'speed_Hz': array([ 56.78413066, -147.32742392, -14.28783413, ..., -29.51455248, 15.66125098, 41.38001828]), 'speed_Hz_f': array([-23.57073686, -18.61154574, -15.85582681, ..., 7.05157621, 18.45809539, 37.52083946]), 'laser': array([0., 0., 0., ..., 0., 0., 0.]), 'FramesPerSecond': 10000.0}} </code></pre> <p>where</p> <p>a[11] : dictionary for motor 1 trace, laser on motor 1, composed as above.</p> <p>a[12] : dictionary for motor 1 trace, laser on motor 2.</p> <p>a[21] : dictionary for motor 2 trace, laser on motor 1.</p> <p>a[22] : dictionary for motor 2 trace, laser on motor 2.</p>
Gas-phase electronic action absorption spectra of protonated oxygen-functionalized polycyclic aromatic hydrocarbons (OPAHs)
<p>The dataset for the article:<br> Gas-phase electronic action absorption spectra of protonated oxygen-functionalized polycyclic aromatic hydrocarbons (OPAHs)</p> <p>Authors:<br> Anne P. Rasmussen, Gabi Wenzel, Liv Hornekær, and Lars H. Andersen</p> <p>DOI:<br> 10.1051/0004-6361/202346003</p> <p>Journal:<br> A&A</p> <p>#--------------------------------------------------------------------------------------</p> <p>Folders:<br> - Fig3_action_spectra contains the action spectra data for all five molecules (Fig. 3)<br> - Fig4_histograms contains the histograms for all five molecules (Fig. 4)<br> - Fig5_daughtermass_spectra contains the daughter mass data for pentacenequinone and phenanthrenequinone (Fig. 5)<br> - FigB1_photon_dependence contains the photon dependence data for all five molecules (Fig. B1)</p> <p>#--------------------------------------------------------------------------------------</p> <p>This work has been supported by the Danish National Research Foundation through the Center of Excellence “InterCat” (Grant Agreement no.: DNRF150).</p>
Simulation data and code used for the publication in Magn. Reson. "Time-domain proton-detected local-field NMR for molecular structure determination in complex lipid membranes"
<p>Simulation data used in the publication Magn. Reson. "Time-domain proton-detected local-field NMR for molecular structure determination in complex lipid membranes". The simulation data set, and the code developed to generate such data, are included. Details in the published paper </p>
Replication Data for: Proton transport through nanoscale corrugations in two-dimensional crystals
<p>This dataset contains source data for Main Figures from "Proton transport through nanoscale corrugations in two-dimensional crystals, <i>Nature,</i> volume 620, pages 782–786" Data plotted as curves and histograms are provided in .xlsx files. AFM data are provided in both .txt and SPIP-compatible .asc file types. Filenames correspond to the figure labels and plot information as in the publication.</p>
Fluxes of the protonated masses from the soil samples collected from two temperate ecosystems detected by PTR-ToF-MS
<p>Volatile organic compounds (VOCs) are reactive gaseous compounds with significant impacts on air quality and the Earth's radiative balance. While natural ecosystems are known to be major sources of VOCs, primarily due to vegetation, soils, an important component of these ecosystems, have received relatively less attention as potential sources and sinks of VOCs.</p> <p>In this study, soil samples were collected from two temperate ecosystems: a beech forest and a heather heath, and then sieved, homogenized, and incubated under various controlled conditions such as different temperatures, oxic <em>vs</em>. anoxic conditions, and different ambient VOC levels. A dynamic flow-through system coupled to a proton transfer reaction-time of flight-mass spectrometry (PTR-ToF-MS) was used to measure production and/or uptake rates of selected VOCs, aiming to explore the processes and their controlling mechanisms.</p> <p>This dataset therefore is collected from these experiments. It includes the raw flux data and figure source data associated with a peer-reviewed publication in Soil Biology & Biochemistry at <a href="https://doi.org/10.1016/j.soilbio.2023.109153">https://doi.org/10.1016/j.soilbio.2023.109153</a>.</p> <p>Overall, our results showed that these soils were natural sources of a variety of VOCs, and the strength and profile of these emissions were influenced by soil biogeochemical properties (e.g. moisture, soil organic matter), oxic/anoxic conditions, and temperature. The soils also acted as sinks for most VOCs when VOC substrates at parts per billions levels (ranging between 0.18-68.65 ppb) were supplied to the headspace of the enclosed soils, and the size of the sink corresponded to the amount of VOCs available in the ambient air. Temperature-controlled incubations and glass bead simulations indicated that the uptake of VOCs by soils was likely driven by microbial metabolism, with a minor contribution from physical adsorption to soil particles. In conclusion, our study suggests that soil uptake of VOCs can mitigate the impact of other significant VOC sources in the near-surface environment and potentially regulate the net exchange of these trace gases in ecosystems.</p> <p>Should you have any questions regarding the dataset, please free feel to contact Yi jiao at yi.jiao@bio.ku.dk or Prof. Rinnan at riikkar@bio.ku.dk</p>
A Trial to Evaluate the Effect of the Proton Pump Inhibitor Esomeprazole on the Single-dose Pharmacokinetics (PK) of Oral TAK-906 in Healthy Adult Participants
ClinicalTrials.gov study NCT03849690. IPD Sharing: YES. Countries: 1. Publications: 1.
The effect of irregular breathing on the interplay effect in pencil beam scanning proton therapy
<p>All relevant files for this thesis: breathing patterns, input script for the interplay calculator, beam logs, raw results and figures</p>
Energetic Proton Propagation and Acceleration Simulated for the Bastille Day Event of July 14, 2000
<p>This includes data from the EPREM+CORHEL simulation run presented in "Energetic Proton Propagation and Acceleration Simulated for the Bastille Day Event of July 14, 2000" (Astrophysical Journal). The eight files ending in '.nc' contain the EPREM stream-observer data used to create Figures 5 & 7. The data was saved in the self-describing <a href="https://www.unidata.ucar.edu/software/netcdf/">NetCDF4</a> format. The HTML files contain the following interactive figures, which you can open in your internet browser:</p> <ul> <li><strong>cos_theta-e10.0-t44.html</strong> cosine of the flow angle (Figure 7)</li> <li><strong>divV-e10.0-t44.html</strong> velocity divergence (Figure 7)</li> <li><strong>flux-e10.0-t44-log.html</strong> differential flux of 10-MeV protons (Figure 7)</li> <li><strong>peak_flux-e10.0-t44.html</strong> relative peak flux of 10-MeV protons (Figure 5)</li> <li><strong>peak_flux-e100.0-t44.html</strong> relative peak flux of 100-MeV protons (not shown in paper)</li> <li><strong>tau_p-e10.0-t44-log.html</strong> theoretical acceleration rate (Figure 7)</li> </ul>
Solar Energetic Proton Access to the Inner Magnetosphere during the 7-8 September 2017 event
<p>Dataset used in the manuscript.</p> <p> </p> <p>2fluxLFM.txt: The first two columns are time from 09/07 00UT in hours and L along RBSP-B trajectory where the cutoff energy in vertical direction calculated using LFM model is 21 MeV. The third and fourth columns are time from 09/07 00UT in hours and L along RBSP-A trajectory where the cutoff energy in vertical direction calculated using LFM model is 21 MeV. Columns 5 and 6 are time from 09/07 00UT in hours and L where the 21 MeV proton flux measured by RBSP-B is 50% of the interplanetary flux. Columns 7 and 8 are time from 09/07 00UT in hours and L where the 21 MeV proton flux measured by RBSP-A is 50% of the interplanetary flux. </p> <p>2fluxTS.txt: Columns 1 and 2 are time from 09/07 00UT in hours and L where the 21 MeV proton flux measured by RBSP-B is 50% of the interplanetary flux. Columns 3 and 4 are time from 09/07 00UT in hours and L where the 21 MeV proton flux measured by RBSP-A is 50% of the interplanetary flux. Columns 5 and 6 are time from 09/07 00UT in hours and L along RBSP-A trajectory where the cutoff energy in vertical direction calculated using LFM model is 21 MeV. Columns 7 and 8 are time from 09/07 00UT in hours and L along RBSP-B trajectory where the cutoff energy in vertical direction calculated using LFM model is 21 MeV. </p> <p>acut_0907.txt and acutoff_0908.txt are the cutoff energy along RBSP-A orbit calculated using TS07. The first column is time in seconds, the next three columns are the satellite location (radial distance in Re, latitude and longitude), and the last three columns are the cutoff energy in MeV in west, vertical and east direction. </p> <p>bcut_0907.txt and bcutoff_0908.txt are the cutoff energy along RBSP-B orbit calculated using TS07. The first column is time in seconds, the next three columns are the satellite location (radial distance in Re, latitude and longitude), and the last three columns are the cutoff energy in MeV in west, vertical and east direction. </p> <p>cutoffa_t700_fixed.dat and cutoffb_t700.dat are the cutoff energy along RBSP-A and RBSP-B orbits calculated using LFM. The first column is time in seconds, the next three columns are the satellite location (radial distance in Re, latitude and longitude), and the last three columns are the cutoff energy in MeV in west, vertical and east direction. </p> <p>tmax_test.txt is the cutoff energy using different tmax parameters at two time points. The first column is time in seconds from the start of the simulation. The next three column are the satellite location (radial distance in Re, latitude and longitude). The last three columns are the cutoff energy in MeV in west vertical and east directions. Lines corresponds to different tmax parameters. </p> <p>vap_081.txt and vap_082.txt are external Bz in nT measured by RBSP-B along an outbound orbit on 09/08 0719-1110UT and an inbound orbit on 09/08 1145-1545UT.</p> <p>ts05_081.txt and ts05_082.txt are external Bz in nT calculated using TS05 magnetic field model at RBSP-B location along an outbound orbit on 09/08 0719-1110UT and an inbound orbit on 09/08 1145-1545UT.</p> <p>ts07_081.txt and ts07_082.txt are external Bz in nT calculated using TS07 magnetic field model at RBSP-B location along an outbound orbit on 09/08 0719-1110UT and an inbound orbit on 09/08 1145-1545UT</p> <p>lfm_081.txt and lfm_082.txt are external Bz in nT calculated using LFM global MHD model at RBSP-B location along an outbound orbit on 09/08 0719-1110UT and an inbound orbit on 09/08 1145-1545UT</p> <p>b1430TS05 and EXTERNALTS07.txt are the magnetic field in nT calculated by TS05 and TS07 on 09/08 1430UT. </p>
An unusual amino acid substitution within hummingbird cytochrome c oxidase alters a key proton-conducting channel
<p>Hummingbirds in flight exhibit the highest metabolic rate of all vertebrates. The bioenergetic requirements associated with sustained hovering flight raise the possibility of unique amino acid substitutions that would enhance aerobic metabolism. Here, we have identified a non-conservative substitution within the mitochondria-encoded cytochrome <i>c</i> oxidase subunit I (COI) that is fixed within hummingbirds, yet exceedingly rare among other vertebrates. This unusual change is also rare among metazoans, but can be identified in several clades with diverse life histories. We performed atomistic molecular dynamics simulations using bovine and hummingbird COI models, thereby bypassing experimental limitations imposed by the inability to modify mtDNA in a site-specific manner. Intriguingly, our findings suggest that COI amino acid position 153 (bovine numbering system) provides control over the hydration and activity of a key proton channel in COX. We discuss potential phenotypic outcomes linked to this intriguing alteration encoded by the hummingbird mitochondrial genome.</p>
Replication Data for: Proton and molecular permeation through the basal plane of monolayer graphene oxide
<p>This dataset contains source data for main figures from "Proton and molecular permeation through the basal plane of monolayer graphene oxide, <i>Nature Communications, 2023</i>" Filenames of the .xlsx files correspond to the figure labels in the publication. Sheets within each file contain the plot information and the data plotted as curves and histograms in the main figures.</p>
Beam properties within the momentum acceptance of a clinical gantry beamline for proton therapy
<p>Publicly accessible data associated with the publication: </p><p><strong>Beam properties within the momentum acceptance of aclinical gantry beamline for proton therapy</strong>. </p><p>AC Giovannelli, V Maradia, D Meer, S Safai, S Psoroulas, M Togno, C Bula, DC Weber, AJ Lomax, G Fattori. Med Phys 2022;49(3):1417-1431. <a href="https://doi.org/10.1002/mp.15449">https://doi.org/10.1002/mp.15449</a></p><p>Data generated within the project "New concept for adaptive real time tumour tracking" funded by the Swiss National Science Foundation (SNSF) under grant agreement 200021_185082: <a href="https://data.snf.ch/grants/grant/185082">https://data.snf.ch/grants/grant/185082</a> </p><p> </p>
BAS-PRO Model Solution for "Modeling Field Line Curvature Scattering Loss of 1 to 10MeV Protons during Geomagnetic Storms"
<p>The file <em>ModelingFLC_BASPRO_solution.zip</em> is a BAS-PRO model solution output archived as a zip file. After extracting the zip file, the solution will be spread across multiple plaintext files. The solution is a grid of proton phase space density multiplied by proton rest mass cubed, f, with units km-6 s3. f is specified in terms of the first, second and third adiabatic invariants μ, K and L as well as time.</p> <p>The solution files can be loaded using the BAS-PRO plotting library, available at <a href="https://github.com/atmosalex/BAS-PRO_plotting" target="_blank" rel="noopener">https://github.com/atmosalex/BAS-PRO_plotting</a>. A copy of the BAS-PRO plotting library has also been bundled with this dataset (<em>BAS-PRO_plotting-main.zip</em>) to prevent potential compatibility issues arising from future updates to the online repository. It is recommend to follow the steps in the "Getting started" section of the plotting library README.md file, as this will result in plots of the solution, and will also convert the plaintext solution files into a single file in binary .cdf format which allows for faster loading.</p> <p>The plaintext solution included in this dataset is made up of two sets of files which correspond to different grid resolutions:</p> <ul> <li>Files ending in 'dyn.txt' are 'dynamic output' files, containing the sampled time evolution of f throughout the simulation period. The dynamic output grid is lower resolution than the original BAS-PRO simulation grid in order to save disk space. These files are useful for producing plots.</li> <li>Files <strong>not</strong> ending in 'dyn.txt' are 'simulation grid' files, containing f at the final simulation epoch only, at the original simulation grid resolution. These files are useful for loading into BAS-PRO as an initial condition, or for plotting the final epoch at higher resolution.</li> </ul> <p>The coordinate range of the 'simulation grid' ('dynamic output') files is as follows:</p> <ul> <li>log10(μ/ (1MeV/G)) ranges from: 0.029384425 to 4.2519649 (0.17108176 to 4.1952860)</li> <li>K ranges from: 0 to 5.729029 (0 to 5.729029) in units G0.5 RE</li> <li>L ranges from: 1.13 to 4.0 (1.13 to 4.0)</li> <li>time ranges from 1388534400 to 1517443200, given in terms of seconds passed since January 1, 1970 UTC, and this time range is from January 1, 2014 to February 1, 2018.</li> </ul> <p>The following table gives a description of each file included:</p> <table> <tbody> <tr> <td><em>axis_mu.txt</em></td> <td>first dimension axis: a list of log10(μ/ (1MeV/G)) for the μ of each simulation grid point</td> </tr> <tr> <td><em>axis_K.txt</em></td> <td>second dimension axis: a list of K for each simulation grid point, with units G0.5 RE</td> </tr> <tr> <td><em>axis_L.txt</em></td> <td>third dimension axis: a list of L at each simulation grid point</td> </tr> <tr> <td><em>axis_t.txt</em></td> <td>time axis: a list of each simulation epoch, showing the history of timestepping</td> </tr> <tr> <td><em>map_iK-aeq.txt</em></td> <td>a 2D grid of equatorial pitch angle (degrees) corresponding to each L (rows) and K (columns) listed in the corresponding simulation axis files. A fill value of -1 is used to signify coordinates outside the trapping region.</td> </tr> <tr> <td><em>iK-0001_2D_en.txt</em></td> <td>a 2D grid of energy, with units of megaelectron volt, at each μ (rows) and L (columns) coordinate defined in the simulation axis files, at the K corresponding to the K index listed in the file name. For example, iK-0001... means the first K on the 3D model grid, corresponding to the first value of K listed in the <em>axis_K.txt</em> file. </td> </tr> <tr> <td><em>iK-0001_2D_f.txt</em></td> <td>a 2D grid of f, with units km-6 s3, at each μ (rows) and L (columns) coordinate defined in the simulation axis files, at the K corresponding to the K index listed in the file name. For example, iK-0001... means the first K on the 3D model grid, corresponding to the first value of K listed in the <em>axis_K.txt</em> file.</td> </tr> <tr> <td><em>iK-0001_axis_aeq.txt</em></td> <td>a list of equatorial pitch angle (degrees) at each L in the <em>axis_L.txt</em> file, at the K index listed in the file name. For example, iK-0001... means the first K on the 3D model grid, corresponding to the first value of K listed in the <em>axis_K.txt</em> file. A fill value of -1 is used to signify coordinates outside the trapping region.</td> </tr> <tr> <td><em>...<br></em></td> <td>...</td> </tr> <tr> <td><em>axis_mu_dyn.txt</em></td> <td>first dimension axis: a list of log10(μ/ (1MeV/G)) for the μ of each grid point in the dynamic output of the model</td> </tr> <tr> <td><em>axis_K_dyn.txt</em></td> <td>second dimension axis: a list of K for each grid point in the dynamic output of the model, with units G0.5 RE</td> </tr> <tr> <td><em>axis_L_dyn.txt</em></td> <td>third dimension axis: a list of L at each grid point in the dynamic output of the model</td> </tr> <tr> <td><em>axis_t_dyn.txt</em></td> <td>time axis: a list of each dynamic output epoch</td> </tr> <tr> <td><em>map_iK-aeq_dyn.txt</em></td> <td>a 2D grid of equatorial pitch angle (degrees) corresponding to each L (rows) and K (columns) listed in the corresponding axis files for the dynamic output. A fill value of -1 is used to signify coordinates outside the trapping region.</td> </tr> <tr> <td><em>iK-0001_2D_en_dyn.txt</em></td> <td>a 2D grid of energy, with units of megaelectron volt, at each μ (rows) and L (columns) coordinate defined in the dynamic output axis files, at the K corresponding to the K index listed in the file name. For example, iK-0001... means the first K on the 3D model grid, corresponding to the first value of K listed in the <em>axis_K_dyn.txt</em> file. </td> </tr> <tr> <td><em>iK-0001_2D_f_dyn.txt</em></td> <td>a 2D grid of f, with units km-6 s3, at each μ (rows) and L (columns) coordinate defined in the dynamic output axis files, at the K corresponding to the K index listed in the file name. For example, iK-0001... means the first K on the 3D model grid, corresponding to the first value of K listed in the <em>axis_K_dyn.txt</em> file. The 2D grid is output for every timestep and appended to the file, so subsequent 2D grids correspond to subsequent timesteps at the same K.</td> </tr> <tr> <td><em>iK-0001_axis_aeq_dyn.txt</em></td> <td>a list of equatorial pitch angle (degrees) at each L in the <em>axis_L_dyn.txt</em> file, at the K index listed in the file name. For example, iK-0001... means the first K on the 3D model grid, corresponding to the first value of K listed in the <em>axis_K_dyn.txt</em> file. A fill value of -1 is used to signify coordinates outside the trapping region.</td> </tr> <tr> <td><em>...</em></td> <td>...</td> </tr> <tr> <td><em>progress.txt</em></td> <td>a file used by the BAS-PRO model to continue from partially complete simulations. It contains three values (one per line): epoch of the simulation start time; total simulation time elapsed (seconds); and a mode select value (1 for dynamic, 0 for steady state)</td> </tr> <tr> <td><em>resume.config</em></td> <td>a backup of the original configuration options used to execute the BAS-PRO simulation, used only by the model</td> </tr> </tbody> </table>
Participation of electrochemically inserted protons in the hydrogen evolution reaction on tungsten oxides
<p>Understanding the mechanisms by which electrodes undergo the hydrogen evolution reaction (HER) is<br>necessary to design better materials for aqueous energy storage and conversion. Here, we investigate<br>the HER mechanism on tungsten oxide electrodes, which are stable in acidic electrolytes and can<br>undergo proton-insertion coupled electron transfer concomitant with the HER. Electrochemical<br>characterization showed that anhydrous and hydrated tungsten oxides undergo changes in HER activity<br>coincident with changes in proton composition, with activity in the order HxWO3*H2O>HxWO3 ><br>HxWO3*2H2O. We used operando X-ray diffraction and density functional theory to understand the<br>structural and electronic changes in the materials at high states of proton insertion, when the oxides are<br>most active towards the HER. H0.69WO3*H2O and H0.65WO3 have similar proton composition, structural<br>symmetry, and electronic properties at the onset of the HER, yet exhibit different activity. We<br>hypothesize that the electrochemically inserted protons can diffuse in hydrogen bronzes and participate<br>in the HER. This would render the oxide volume, and not just the surface, as a proton and electron<br>reservoir at high overpotentials. HER activity is highest in HxWO3*H2O, which optimizes both the degree<br>of proton insertion and solid-state proton transport kinetics. Our results highlight the interplay between<br>the HER and proton insertion-coupled electron transfer on transition metal oxides, many of which are<br>non-blocking electrodes towards protons.</p>
Dataset: Redox-Activated Proton Transfer through a Redundant Network in the Qo Site of Cytochrome bc1
<p>This dataset contains initial molecular configurations and an example script used with the pDynamo3 library to obtain the results published in the paper "Redox-Activated Proton Transfer through a Redundant Network in the Qo Site of Cytochrome bc1" by Guilherme M. Arantes (USP, Brazil).</p>
Impact of New Developments in the Commissioning of Operational Radiation Protección in Compact Proton Therapy Centers (CPTC)
<p>Proton therapy is in continuous ever evolving to improve its performance. Some prominent current trends involve cutting-edge delivery methods or building compact proton centers. New developments have a direct impact in radiation protection of proton facilities and actions should be developed continuously with the aim that new centers meet all the requirements. The study of radiological protection in multi-room centers has been widely studied elsewhere, however, compact centers have specific features that pose a challenge in radiation protection, and the present work suggest different contributions to the body of knowledge in these compact facilities. Compact Proton Therapy Centers (CPTC) act out latest advances in particles: Usually have one single room, small footprint and a standard configuration, higher radiation density (Sv/m<sup>2</sup>), using the most advanced equipment and machinery to reduce their size, the delivery mode of protons is Pencil Beam Scanning (PBS), and there is a mix of professional exposed workers (clinical and technical staff) in these centers.</p> <p>The present work is framed into the project Contributions to operational radiation protection and neutron dosimetry in compact proton therapy centers (CPTC), which is focused on assessing the impact of these innovations on the operational radiation protection and commissioning of the compact facilities. Thus, several tasks have been carried out over the last three years, as checking and evaluation of shielding, comparing ambient dose equivalent of several CPTC, analyzing activation with different types of concrete, and activation in machinery, air and water of the facility, characterizing wide range rem-meters and neutron area monitors to measure neutron fields, studying new proton delivery techniques and their neutron fields, or assessing personal dosemeters, among others. The aim of the work is to present outcomes achieved in the aforementioned areas. As a result, a commissioning process of the operational radiation protection in compact centers will be suggested, lined up with the requirements by the Spanish Regulatory Body.</p> <p>Considering topics as new methods of application of dose in development (proton arc therapy, flash-therapy with protons), new materials for barriers and shielding or recent radiation monitoring equipment, future works must be carried out to study their impact on operational radiation protection and recommendations such as ICRP Publication 127, Radiological Protection in Ion Beam Radiotherapy, should be updated periodically taking into account the new methods and technologies developed.</p>
A dataset of proton kinetic-scale current sheets selected at 1 AU using Wind spacecraft measurements
<p>This is a dataset of proton kinetic-scale current sheets selected at 1 AU using 11 Samples/s magnetic field measurements aboard Wind spacecraft. The current sheets were selected using Partial Variance Increments method. The detailed analysis of this dataset can be found at https://arxiv.org/abs/2112.15256v1</p> <p>The first column gives a CS index number, the second panel gives a date in the year/month/day format, the last two columns give <br> temporal positions of the left and right boundaries of a CS. These moments of times are in seconds from the beginning of the day indicated in the second column. </p>
Magnetic Field Disorder May Explain Energetic Proton Diffusion through Heliosheath Plasma: Evidence from Voyager 2 Observations
<p>The spreadsheets of monthly data used for Figure 2 in the paper " <strong>Magnetic Field Disorder May Explain Energetic Proton Diffusion through Heliosheath Plasma: Evidence from Voyager 2 Observations</strong>" submitted to Geophysical Research Letters by the authors, and an explanatory text file named "Readme".</p>
Dipolar Relaxation of Water Protons in the Vicinity of a Collagen-Like Peptide: Input Files for Simulation
<p>Input files to run the simulations in the paper</p> <p>Journal: The Journal of Physical Chemistry B<br> Title: Dipolar relaxation of water protons in the vicinity of a collagen-like peptide<br> Authors: Jouni Karjalainen, Henning Henschel, Mikko J. Nissi, Miika T. Nieminen, Matti Hanni<br> DOI: 10.1021/acs.jpcb.2c00052</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.