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1,940 results for “pulses”
Additional Data - Phototoxicity induced in living HeLa cells by focused femtosecond laser pulses
<p>Nonlinear optical microscopy is a powerful label-free imaging technology, providing biochem-ical and structural information in living cells and tissues. A possible drawback is photodamageinduced by high-power ultrashort laser pulses. Here we present an experimental study on thou-sands of HeLa cells, to characterize the damage induced by focused femtosecond near-infraredlaser pulses as a function of laser power, scanning speed and exposure time, in both wide-field andpoint-scanning illumination configurations. Our data-driven approach offers an interpretation ofthe underlying damage mechanisms and provides a predictive model that estimates its probabilityand extension and a safety limit for the working conditions in nonlinear optical microscopy. Inparticular, we demonstrate that cells can withstand high temperatures for a short amount of time,while they die if exposed for longer times to mild temperatures. It is thus better to illuminatethe samples with high irradiances: thanks to the nonlinear imaging mechanism, much strongersignals will be generated, enabling fast imaging and thus avoiding sample photodamage.</p>
Data set for "On the Use of Pulsed UV or Visible Light Activated Gas Sensing of Reducing and Oxidising Species with WO3 and WS2 Nanomaterials"
<p>This excel file contains the raw data gathered with the measurements performed under different conditions of illumination for the different sensors. These data have been exploited in the paper "On the Use of Pulsed UV or Visible Light Activated Gas Sensing of Reducing and Oxidising Species with WO3 and WS2 Nanomaterials" DOI: 10.3390/s21113736</p>
Dehulling of pulses for food use
<p>Harri Laine from Arola farm talks about dehulling faba beans and peas for food use. Together with his wife Erja, they operate a dehulling line that has the capacity to dehull approximately 500 kg of faba beans or peas per hour. The video is an output of the Legumes Translated project and is available in Finnish with subtitles in Finnish and English.</p>
Simulated coherent diffraction from 2NIP (SPB-SFX instrument, 3 fs, 4.96 keV European XFEL pulses)
<p>Simulated diffraction from 2NIP</p> <p>Input: https://dx.doi.org/10.5281/zenodo.886061 (photon-matter interaction)</p> <p>Simulation code: singFEL</p>
Data underpinning "Pulse sequence considerations for interleaved chemical exchange saturation transfer acquisition sequences."
<p>=================================================<br> Robert Casper Brand, PhD Candidate<br> Wellcome Centre for Integrative Neuroimaging, FMRIB Division, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.<br> =================================================</p> <p>This folder contains the images and datasets used to generate the figures of the paper named: "Pulse sequence considerations for interleaved chemical exchange saturation transfer acquisition sequences." </p> <p>Each figure of the paper, with its corresponding data, is contained in an opensource TikZ format file. The TikZ files include both information on the axis as well as the supporting data and can be opened with any generic text editor. For more information on TikZ, see:<br> https://www.sharelatex.com/learn/TikZ_package). </p> <p>Where datasets were too large to be run by standard TeX distributions, the data was attached in an alternative format, and a TikZ wrapper included.</p> <p>The figures can be generated through any of the opensource TeX distributions. For more information on LaTeX and TeX, please see: <br> https://www.latex-project.org/get/ and<br> https://www.sharelatex.com/learn/Pgfplots_package.</p> <p>A compilation example of all figures, which also lists any additional packages, is included in the "wrapper. Tex" file. The output of this process was added to this folder as well (wrapper.pdf).</p> <p>The included files were created using directly from Matlab using the matlab2tikz code:<br> https://www.mathworks.com/matlabcentral/fileexchange/22022-matlab2tikz-matlab2tikz</p>
Estimation of the variation in specific discharge over large depth using Distributed Temperature Sensing (DTS) measurements of the heat pulse response
<p>The data contains measurements and derived values that are used for the manuscript "Estimation of the variation in specific discharge over large depth using Distributed Temperature Sensing (DTS) measurements of the heat pulse response, [Paper # 2018WR024171]" Currently under review at the Water Resources Research journal.</p> <p>The data is stored in netCDF files with xarray (Python), and should be readable with any other netCDF reader. </p> <ul> <li>TEMP is the measured temperature in degrees Celsius relative to the background temperature</li> <li>tempinfty is one of the calibration parameters. Represents the steady state temperature increase</li> <li>A is one of the calibration parameters. Represents the timescale in days</li> <li>b is one of the calibration parameters. Represents the scaled distance to the heat source</li> <li>err_alpha is one of the calibration parameters. Represents the autoregressive parameter</li> <li>TEMPmodel is the best fit temperature response in degrees Celsius relative to the background temperature</li> <li>Innovation is termed the noise in the article, in degrees Celsius.</li> <li>q is the estimated specific discharge in meters per day</li> <li>q_MC_XX are the confidence intervals of the estimated specific discharge calculated with Monte Carlo as presented in the article</li> <li>q_lmfit_XX are the confidence intervals of the estimated specific discharge calculated with LMFIT. Is a rough estimate for q_MC_XX calculated by lmfit (Python package).</li> </ul> <p>Time is measured in days with respect to when the heating cable is turned on.</p> <p>Additionally, a Jupyter notebook is supplemented to the article. It demonstrates the calibration routine and the calculation of the confidence interval for the temperature response at a single depth.</p>
Data, multiscale dataset and supplementary information for 'Pulsed fluid release from subducting slabs caused by a scale-invariant dehydration process'
<p>This repository contains the analytical Supplementary Information, the data, the multiscale dataset and the codes used to construct the dataset and plot figures used in the manuscript 'Pulsed fluid release from subducting slabs caused by a scale-invariant dehydration process' (accepted in Earth and Planetary Science Letters). </p> <p> </p> <p> </p>
Cryogenically Cooled Periodically Poled Lithium Niobate Wafer Stacks for Multi-Cycle Terahertz Pulses
<p>Dataset used for the figures in the paper: "Cryogenically Cooled Periodically Poled Lithium Niobate Wafer Stacks for Multi-Cycle Terahertz Pulses" by Dalton et al. Accepted for publication in Applied Physics Letters on the 6th September 2024.</p>
Data from "Resource pulses drive spatio-temporal dynamics of non-native bark beetles and wood borers"
<p>This is a compilation of datasets that were used for the publication entitled "Resource pulses drive spatio-temporal dynamics of non-native bark beetles and wood borers" by Eckehard G. BROCKERHOFF, Stephanie L. SOPOW, and Martin K.-F. BADER, published in the Journal of Applied Ecology, 'in press' in October 2024.</p> <p>Note: The date format is either (i) season (spring/summer/autumn/winter) plus a two-figure short form for the year (e.g., "autumn08" stands for autumn 2008), or (ii) just the year for an annual total in either four- or two-figure form in the file name (e.g., "reg2010sums.csv" or "reg10sums.csv" for the year 2010).</p> <p>1. File "mean_trap_catches.csv" = Data used for Fig. 1 - Mean trap catch data of Hylastes ater, Hylurgus ligniperda and Arhopalus ferus over time in Kaingaroa forest stands 378 ("F2006"), 377 ("F2009"), and 383 ("F2010"). For further explanations see methods of Brockerhoff et al. (2024).</p> <p>2. File "reg2010sums.csv" = Data used for Fig. 2 - Year 2010, annual trap catches of Hylastes ater, Hylurgus ligniperda and Arhopalus ferus indicating approximate dispersal distances between Pinus radiata stands. For details see caption of Fig. 2 in Brockerhoff et al. (2024).</p> <p>3. File "reg2010sums.csv" = Data used for Fig. 2 - Year 2011, annual trap catches of Hylastes ater, Hylurgus ligniperda and Arhopalus ferus indicating approximate dispersal distances between Pinus radiata stands. For details see caption of Fig. 2 in Brockerhoff et al. (2024).</p> <p>4. File "reg2010sums.csv" = Data used for Fig. 2 - Year 2012, annual trap catches of Hylastes ater, Hylurgus ligniperda and Arhopalus ferus indicating approximate dispersal distances between Pinus radiata stands. For details see caption of Fig. 2 in Brockerhoff et al. (2024).</p> <p>5. File "reg10sums.csv" = Data used for Fig. 3 - Year 2010, annual trap catches of Hylastes ater, Hylurgus ligniperda and Arhopalus ferus indicating approximate dispersal distances between Pinus radiata stands. For details see caption of Fig. 3 in Brockerhoff et al. (2024).</p> <p>6. File "reg11sums.csv" = Data used for Fig. 3 - Year 2011, annual trap catches of Hylastes ater, Hylurgus ligniperda and Arhopalus ferus indicating approximate dispersal distances between Pinus radiata stands. For details see caption of Fig. 3 in Brockerhoff et al. (2024).</p> <p>7. File "reg12sums.csv" = Data used for Fig. 3 - Year 2012, annual trap catches of Hylastes ater, Hylurgus ligniperda and Arhopalus ferus indicating approximate dispersal distances between Pinus radiata stands. For details see caption of Fig. 3 in Brockerhoff et al. (2024).</p> <p>8. File "hylu2010-fitted_dispersal_to_5km-Version_23May2024.csv" = Data shown in Fig. 4 - Extension of the prediction range to 5 km of Hylurgus ligniperda dispersal data, using a generalised additive mixed model (GAMM) with beta distributed errors and the default logarithmic link. For details see caption of Fig. 4 and methods in Brockerhoff et al. (2024).</p> <p> </p>
Dataset for "Scaling of ultrashort-pulsed laser structuring processes for electromobility applications using a spatial light modulator"
<p>The dataset represents the experimental data for publication "<span>Scaling of ultrashort-pulsed laser structuring processes for electromobility applications using a spatial light modulator</span>"</p>
Intermediate data products for: Moored Turbulence Measurements using Pulse-Coherent Doppler Sonar (Zippel et al. 2021, Journal of Atmospheric and Oceanic Technology)
<p>This repository contains some of the intermediate data products needed to reproduce the results in the <em>Journal of Atmospheric and Oceanic Technology</em> article "Moored Turbulence Measurements using Pulse-Coherent Doppler Sonar" by S.F. Zippel, J. T. Farrar, C. J. Zappa, U. Miller, L. St. Laurent, T. Ijichi, R. A. Weller, L. McRaven, S. Nylund, and D. Le Bel. Specifically, this material should allow reproduction of Figures 3, 5-7, 12 and 13. Reproduction of Figures 8-11 also requires data from associated glider deployments nearr the SPURS-1 mooring, which may be requested from co-author L. St. Laurent.</p> <p>Code to do the analysis and make the plots is here: https://github.com/zippelsf/MooredTurbulenceMeasurements</p> <p>Matlab data files:</p> <p>(1) 677404_burst1865.mat</p> <p>Single-burst data used for the example spectral fit in Figure 7. The burst was collected during the SPURS-1 project at 21.5m depth. The data collection and processing methods are described in detail in Section 2. </p> <p>(2) 811604_burst0510.mat (Single-burst data used in the unwrapping example, Figure 5)</p> <p>(3) 8116_dissipation_timeseries.mat (Used for associated ancillary data in Figure 6)</p> <p>(4) 913411_burst2879.mat (Single-burst data, used for ancillary data to make Figure 3).</p> <p>(5) BuoyancyFlux_b.mat</p> <p>Ocean buoyancy flux estimates for SPURS-2 dataset, created from the 1-hr "met" and "flux" files available on the UOP website, and using the Gibbs SeaWater (GSW) toolbox to estimate "alpha" and "beta". The estimated buoyancy fluxes were used for Figure 12.</p> <p>(6) BuoyancyFlux_c.mat</p> <p>Ocean buoyancy flux estimates for SPURS-1 dataset, created from the 1-hr "met" and "flux" files available on the UOP website, and using the Gibbs SeaWater (GSW) toolbox to estimate "alpha" and "beta". The estimated buoyancy fluxes were used for Figure 12.</p> <p>(7) SPURS1_dissipation_grid_v1d.mat</p> <p>Gridded TKE dissipation rates for SPURS-1 dataset. Processing of these data is described extensively in Section 2. Data used in Figures 8-13. Dissipation rates also available on NASA's PODAAC.</p> <p>(8) spurs1_met_1hr.mat (Processed met data from SPURS-1 mooring. Also available on WHOI's UOP website.)</p> <p>(9) SPURS2_dissipation_grid_v1c.mat</p> <p>Gridded TKE dissipation rates for SPURS-2 dataset. Processing of these data is described extensively in Section 2. Data used in Figures 12. Dissipation rates also available on NASA's PODAAC.</p>
Dataset and Code for Manuscript "Multi-angle pulse shape detection of scattered light in flow cytometry for label-free cell cycle classification"
<p>Dataset of measurements for cell cycle analysis with description:</p> <ul> <li>ReadMe file with explanations on the data set and analysis</li> <li>exemplary Matlab script file for analysis</li> <li>binary data files conatining the pulse shapes in all channels</li> <li>FCS data files containing common flow cytometry parameters in each channel</li> </ul> <p>Data on unsorted HEK cells, HEK cells sorted for cell cycle phases, and unsorted Jurkat cell are included.</p>
Single-pulse hard x-ray holograms of an exploding water jet
<p>This h5 file contains the holograms of an exploding micro-fluidic jet recorded at the MID setup at EuXFEL. The holograms were recorded with single-pulse illumination of 17.8 keV hard x-rays.</p> <p>The file contains only one group (/frames/pixels) with 4499 frames recorded with the Andor Zyla 5.5 camera used in this experiment.</p> <p>The first 352 frames and frames 4233 to 4499 can be used as empty beam / reference frames. The frames in between are data frames. The microfluidic jet is put in the field of view and is pumped with an IR laser with pumping offset from 5 to -35 ns with respect to the arrival of the XFEL pulse. </p> <p>The data set has been published in:</p> <p>J. Hagemann, M. Vassholz, H. Hoeppe, M. Osterhoff, J. M. Rosselló, R. Mettin, F. Seiboth, A. Schropp, J. Möller, J. Hallmann, C. Kim, M. Scholz, U. Boesenberg, R. Schaffer, A. Zozulya, W. Lu, R. Shayduk, A. Madsen, C. G. Schroer, and T. Salditt, “Single-pulse phase-contrast imaging at free-electron lasers in the hard X-ray regime,” Journal of Synchrotron Radiation 28(1), 52–63 (2021).<br> </p> <p> </p>
Dataset for Charge collection efficiency, underlying recombination mechanisms, and the role of electrode distance of vented ionization chambers under ultra-high dose-per-pulse conditions
<p>Dataset for paper: Kranzer et al., <a href="https://www.sciencedirect.com/journal/physica-medica">Physica Medica</a> <a href="https://www.sciencedirect.com/journal/physica-medica/vol/104/suppl/C">Volume 104</a>, December 2022, Pages 10-17</p> <p><a href="https://doi.org/10.1016/j.ejmp.2022.10.021">https://doi.org/10.1016/j.ejmp.2022.10.021</a></p>
Pulse Profiles and Times of Arrival Measurements from a Rotating Radio Transient Census with the Irish LOFAR station
<p>The reduced data produced as a part of a census of rotating radio transients (RRATs) with the Irish LOFAR station.</p> <p> </p> <p>This deposit contains:</p> <ul> <li>Metadata regarding observed data</li> <li>A copy of RFI-zapped, single pulse archives</li> <li>A copy of the time-flattened periodic emission archives</li> <li>A copy of the measured pulse times of arrival</li> <li>Ephemerides used and produced as a part of the work</li> </ul> <p>Additional data can be made available on request to the author.</p>
Supplementary Data for Low-loss stable storage of 1.2 Angstrom X-ray pulses in a 14 m Bragg cavity
<p>Supplementary Data for Margraf, R. et al. "Low-loss stable storage of 1.2 Angstrom X-ray pulses in a 14 m Bragg cavity," Nature Photonics, 2023.</p>
Photoconductive receivers at 1030 nm for high average power pulsed THz detection
<p>This dataset is accompanying the paper "Photoconductive receivers at 1030 nm for high average power pulsed THz detection"</p> <p><strong>General data acquisition:</strong></p> <p>THz is generated with the tilted pulse front approach in lithium niobate at room temperature. The pump power is controlled by a motorized lambda/2-waveplate (PI DT-80) in connection with a thin-film polarizer and calibrated to a THz power meter (Ophir 3A-P-THz). The computer-controlled rotation stage allows to sweep the THz power in a reliable and reproduceable way. The probe beam is guided over an oscillating delay line, having a delay range of approximately 15 ps and a shaking frequency of 20 Hz, leading to 4800 THz traces in over 2 min measurement time. In the path of the probe beam is also a motorized rotation stage and a polarizer positioned, to control the laser probe power in the same way as the THz pump power.</p> <p>The THz is received by a ErAs:InAlGaAs photoconductive antenna (PCA) developed at TU Darmstadt, which is optimized for 1030 nm. The THz receiving side has a silicon lens, concentrating the THz radiation on an H-dipole antenna with a center dipole length of 25 µm and a photoconductive gap of 5 µm. On the backside, the probe beam is coupled with a microscope objective for the near infrared range (Mitutoyo M Plan Apo NIR 20X). The small current of the PCA receiver is converted to a useable voltage range with a transimpedance amplifier (Femto DLPCA-200) with a gain of 10^7 V/A.</p> <p>For each combination of THz pump power and laser probe power (sampling beam), a measurement file with 2 min recording length and a sampling rate of 200 kSa/s is recorded with the DAQ (Dewesoft Sirius Mini). The exported file-format HDF-5.</p> <p>HDF-5 is an efficient (binary), cross-platform data format and can be read easily by i.e. Python or Matlab. The graphical user interface “HDFView” can be downloaded for free (after registration) from <a href="https://www.hdfgroup.org/downloads/hdfview/">https://www.hdfgroup.org/downloads/hdfview/</a>. It allows to explore the folder structure of an HDF-5 file but is not necessary when using Python or Matlab.</p> <p>The structure of a single HDF-5 from the uploaded raw data is</p> <ul> <li>A folder called "AI", standing for analog input <ul> <li>The dataset "AI 1" stands for the first analog channel, containing the position of the scanning delay line. The voltage can be converted to “THz time” with a conversion factor, where 20 V correspond to 15 ps delay.</li> <li>The dataset “AI 2”, which is voltage signal from the transimpedance amplifier and proportional to the THz electric field.</li> </ul> </li> </ul> <p>There are additional attributes in the root-folder of the HDF-5 file.</p> <p>The processed data (used in the figures) can be found in the files labeled Fig.X.h5, except for Fig.7, which only contains a single curve and is a .txt file.</p>
Simulation results for study on pulsed electron lenses for space charge mitigation
<p>Simulation results for beam loss in the FAIR SIS100 synchrotron for a comprehensive study on pulsed electron lenses for space charge mitigation. The affiliated manuscript "Pulsed electron lenses for space charge mitigation" describing the study parameters is published on arxiv.org (https://arxiv.org/abs/2310.02365) and submitted for journal publication.</p> <p>For the "ffsc" files, each file contains the tabulated beam survival rate of 1000 simulated particles for a given bare tune. A file typically gathers results from scanning the betatron tune quadrant 18.5 <= Qx,y <= 19.0 in tune steps of 0.01.</p> <p>Explanation of file names:</p> <p>- "ffsc": using the fixed frozen Gaussian field map model for space charge (as established in https://doi.org/10.1103/PhysRevAccelBeams.25.054402 );</p> <p>- "nel": number of pulsed electron lenses placed symmetrically in the straight sections of the SIS100 ring;</p> <p>- "alpha": linear compensation degree, alpha=1.0 corresponds to a total electron lens tune implied tune shift equal to the linear rms-equivalent KV space charge tune shift;</p> <p>- "N": intensity in percent units of the FAIR design intensity for Uranium-28+ beams, i.e. N=100 corresponds to the FAIR design intensity;</p> <p>- "2D" or "3D": the 3D results correspond to the full simulation model with (nonlinear) synchrotron motion, the 2D results assume a fixed longitudinal phase-space distribution and only simulate the transverse dynamics (thus, periodic resonance crossing is suppressed by construction).</p>
Electrodeposited hydroxyapatite coating of titanium after ultrashort-pulsed lasers processing
<p></p> <p class="MsoNormal">The dataset presents surfaces features of<span> electrodeposited hydroxyapatite coating on titanium </span><span>modify </span><span>with ultrashort-pulsed lasers. </span></p> <p class="MsoNormal"><span>Four different hydroxyapatite coatings are created (A-D). Every coating is conditioned with four different laser irradiations 1-4 to 4-4 carried out in different parameter settings with altered power, velocity, and frequency. The surface features of laser-irradiated coating are presented. </span></p> <p class="MsoNormal"> </p>
Pulse-Press Project (P3): Continuous soil temperature and volumetric water content (VWC) measurements, McMurdo Dry Valleys, Antarctica (2012-2021, ongoing)
Climate warming in polar regions is associated with thawing of permafrost, resulting in significant changes in soil hydrology, biogeochemical cycling, and in the activity and composition of soil communities. While ongoing directional climate warming presses can elicit such responses over decadal time scales, their manifestation typically occurs as discrete thawing pulses. Indeed, in the McMurdo Dry Valleys of Antarctica, abrupt changes in community structure and biogeochemical cycling in terrestrial and aquatic ecosystems following a summer warming event (Jan. 2002) exceeded the influences of a decadal cooling trend in both magnitude and rate of response. Thus, we anticipate that climate-mediated permafrost changes and their associated impacts on soil communities and biogeochemical cycles may occur over seasonal time scales. The Pulse-Press Project (P3) experiment was established in 2012 as part of the McMurdo Dry Valleys Long Term Ecological Research (LTER) program to investigate impacts of seasonal wetting on ecosystem structure and functioning by simulating different frequencies of permafrost thawing events in Antarctic permafrost soils. Since the top horizons of most Antarctic soils are dry permafrost (i.e., there is insufficient water content to generate ice-cement), with ice-cement or massive ice typically below 30 cm, permafrost thawing events are likely to result in subsurface movements of water that may manifest as groundwater seeps down gradient. The P3 experiment consists of three permanent plots situated on the south-facing hillslope above Many Glaciers Pond in Taylor Valley. Each plot is 15 m by 7.5 m with a trench on the upslope end that is used for experimental wetting events. The Press plot receives water every austral summer, the Pulse plot receives water every other austral summer, and the Control plot never receives water, serving as the ambient treament. Each plot is instrumented with a network of soil moisture and temperature sensors, positioned
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