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1,940 results for “pulses”
DATA from: Pulsed plasma thruster exhaust reconstruction
<p><strong>Data from: Pulsed plasma thruster exhaust reconstruction</strong></p> <p>- Authors: Scherezade Barquero, Jaume Navarro-Cavallé, Mario Merino</p> <p>- Contact email: mbalsera@ing.uc3m.es</p> <p>- Date: 2024-03-30</p> <p>- Keywords: electric propulsion, plasma, pulsed plasma thruster, PPT, plume, time-of-flight</p> <p>- Version: 1.1</p> <p>- License: This dataset is made available under the <a href="http://opendatacommons.org/licenses/by/1.0">Open Data Commons Attribution License</a></p> <p><strong>Abstract</strong></p> <p>This dataset contains the data found in the plots of the accepted article in the Journal: Plasma Sources Science and Technology (PSST):</p> <p><a href="https://iopscience.iop.org/article/10.1088/1361-6595/ad35e5">"Pulsed plasma thruster exhaust reconstruction"</a></p> <p>The data in this repository are obtained from measurements performed on an PTFE (ablative) pulsed plasma thruster as described in the reference. For further information on the experimental setup please refer to the article.</p> <p><strong>Data Files</strong></p> <p>The datasets are uploaded in MATLAB MAT-file format, organized in MATLAB structures. </p> <p>The files are organized following the order of the figures in the article. Therefore each file varies in size and contains different variables. </p> <p><strong>Citation</strong></p> <p>Any works using this dataset or any part of it in any form shall cite it as follows:</p> <p>The preferred means of citation is to reference the publication associated with the article in the Journal Plasma Sources Science and Technology (PSST):</p> <p>"Pulsed plasma thruster exhaust reconstruction"</p> <p>The BibTex is also provided for the sake of convenience:</p> <p>@article{barq2024a,<br> author={Barquero, Scherezade and Navarro-Cavallé, Jaume and Merino, Mario},<br> title={Pulsed plasma thruster exhaust reconstruction.},<br> journal={Plasma Sources Science and Technology},<br> url={http://iopscience.iop.org/article/10.1088/1361-6595/ad35e5},<br> year={2024},</p> <p>month={March},</p> <p> doi = {<a href="https://iopscience.iop.org/article/10.1088/1361-6595/ad35e5">10.1088/1361-6595/ad35e5</a>},<br> publisher={IOP Publishing} <br>}<br><br></p> <p>Optionally the dataset can be cited by referencing the corresponding DOI:</p> <p>10.5281/zenodo.10908405</p> <p><strong>Acknowledgments</strong></p> <p>This work was been supported by the MARTINLARA project, funded by the Comunidad de Madrid, under Grant reference P2018/NMT-4333 MARTINLARA-CM. Additional support came from the ESPEOS Project, funded by the Agencia Estatal de Investigación (Spanish National Research Agency), Under Grant Number PID2019-108034RBQ5 I00/AEI/10.13039/501100011033.</p>
Dataset for neutron and gamma-ray pulse shape discrimination: radiation pulse signals and discrimination methodologies
<p>This dataset provides neutron and gamma-ray pulse signals for pulse shape discrimination experiments. Serval traditional and recently proposed pulse shape discrimination algorithms are utilized to conduct pulse shape discrimination under raw pulse signals and noise-enhanced datasets. These algorithms include zero-crossing (ZC), charge comparison (CC), falling edge percentage slope (FEPS), frequency gradient analysis (FGA), pulse-coupled neural network (PCNN), ladder gradient (LG), and heterogeneous quasi-continuous spiking cortical model (HQC-SCM). This dataset also provides the source code of all these pulse shape discrimination methods, together with the source code of schematic pulse shape discrimination performance evaluation and anti-noise performance evaluation. Detailed descriptions of this dataset can be found at: https://doi.org/10.48550/arXiv.2305.18242.</p>
GPR dataset: pulsed radar and SFCW data for rebar detection (experimental data)
<p>GPR data corresponding to the article "Rebar detection: Comparison of stepped frequency continuous wave and pulsed GPR" presented in the 7th International Conference on Smart Monitoring, Assessment and Rehabilitation of Civil Structures (SMAR 2024). </p> <p><span>This work presents a comparison in rebar mapping between two GPR systems with different modulation techniques: Stepped frequency continuous wave (SFCW) and pulsed radar. The SFCW system used has a frequency range of 400-6000 MHz, while the pulsed system used a ground-coupled central frequency antenna of 2.3 GHz. Measurements were conducted on laboratory specimens, with rebar diameters ranging from 8 to 32 mm. Three different specimens were used, with one for calibration and other two to analyze both the horizontal and vertical resolutions of the frequency antennas.</span></p>
Pulse of the Library report from Clarivate - full survey findings
<p>The Pulse of the Library<sup>TM</sup> report from Clarivate combines feedback from a survey and qualitative interviews with more than 1,500 respondents from across the world, covering academic, national and public libraries. It aims to provide a pulse on the current trends, concerns and opportunities within the library community, with a particular focus on technological change, including AI. Analysis was conducted in partnership with an external agency, TBI Communications, with further qualitative interviews led by Clarivate.</p> <p>Content enclosed: Full survey findings in Excel</p>
Supplementary material S30: The trend in times intervals of jolting pulses for four mite individuals on various substrates (petri-dish, brood-comb and honeycomb).
<p>Jolt occurrence time intervals with respect to time. Data are shown here for a second and third mite on petri-dish (a, b and c, d respectively), a second mite on brood-comb (e, f) and the mite that produces audible jolting pulses on the empty honeycomb that is referred to in the main text (g, h). Jolt occurrences and time between consecutive instances of jolting are showcased in both linear (a, c, e, g) and logarithmic (b, d, f, h) forms. A change in the colour of the data points is indicative of the mite moving to a new position on the substrate.</p>
Supplementary material S27: A comparison between the spectra of jolting and walking pulses on each substrate.
<p>Comparison of the average jolting pulse spectra against the average walking pulse spectra, on each substrate. Each collection of pulses (walking or jolting on each substrate) was individually sorted by magnitude and the strongest ones in the collection averaged. The purpose of this is to demonstrate a possible discrimination between the two different behaviours on each substrate on the basis of the pulse spectral features. The number of pulses chosen to be averaged for each collection differs based upon the extent of the collection of spectra and their clarity/quality (petri-dish jolting <em>n </em>= 15, petri-dish walking <em>n </em>= 40, honeycomb jolting <em>n </em>= 10, honeycomb walking <em>n </em>= 40, brood-comb jolting <em>n </em>= 20, brood-comb walking <em>n </em>= 20). All averaged pulses were high pass filtered with a cut-off at 300 Hz to remove background noise without interfering with the frequencies where the signal of interest occurs.</p>
Supplementary material S24: Time course of the loudest Varroa jolting pulse compared to that of a honeybee colony and single bee individual.
<p>Time course of the loudest <em>Varroa </em>jolt on brood-comb with the signal from the full colony and a single bee. The signal seen here in each panel is the integral of the magnitude of acceleration with respect to time. The background vibration that is inherent to the room was calculated and subtracted from this data. The loudest jolt (red) is here compared to the signal of a single bee (black) and the vibrations of the full colony at low and high signal (black). High signal is captured when the frame containing the accelerometer is empty of brood. Low signal is captured when the frame is fully loaded with brood and/or honey. The whooping signal (panel a) was captured during a period of high signal.</p>
Supplementary material S21: Averaged jolting pulses on petri-dish that exhibit lower frequency bandwidths.
<p>The average spectrogram of the ten <em>Varroa</em> jolting pulses registered on the petri-dish that exhibit a mid-frequency bandwidth. The amplitude of acceleration is in logarithmic (to the base 10) where the average highest magnitude is dark red (2.5x10<sup>-2</sup> m/s<sup>2</sup>) and the lowest magnitude is dark blue (forced to be 1/30 of the maximum). The maximum is here forced to be that found in the averaged mite pulse, as this figure is simply to demonstrate the presence of the lower frequency bandwidth. Therefore, the absolute values of the colour-coding are not relevant in this case.</p>
Supplementary material S22: An instance of a honeycomb pulse with a successive train of peaks.
<p>An instance of an accelerometer jolting pulse exhibiting multiple successive peaks, registered from within the honeycomb substrate. Six consecutive traces can clearly be seen within a short time period, lasting approximately 20ms. The white bars either side of the accelerometer trace on the top panel refer to the cropped time period seen in the bottom panel. The maximum magnitude of the pulse waveform is 2.3x10<sup>-3 </sup>m/s<sup>2</sup>. In the spectrogram, the magnitude of the acceleration is logarithmic (to the base 10) with a maximum acceleration of 4.4x10<sup>-4</sup> m/s<sup>2</sup> and the lowest acceleration magnitude corresponding to 1/20 of the maximum. The maximum signal is here forced be the maximum found in the <em>Varroa </em>pulse, as the purpose of this figure is to best showcase the signal peaks.</p>
Supplementary material S19: The growth and decay rate of the Varroa jolting pulse.
<p>The growth and decay of the <em>Varroa </em>jolting pulse on each of the three substrates. Panel ‘a’ showcases the loudest jolting pulse waveform registered on honeycomb, and panel ‘b’ showcases the loudest jolting pulse waveform registered on petri-dish, both of which demonstrate an exponential growth and decay that is highlighted within the red envelope. The growth rate and decay constant were estimated visually (honeycomb growth rate = 0.05ms, honeycomb decay constant = 0.1ms, petri-dish growth rate = 0.09ms, petri-dish decay constant = 1.2ms). The growth rate is the only element of the waveform that is caused by the animal, the decay constant on both the honeycomb and petri-dish are likely the result of the response of the substrate. The brood-comb <em>Varroa </em>jolting pulse seen in panel ‘c’ is the result of the averaged accelerometer waveform for the 40 jolting pulses deemed to be loudest, and are shown in panel ‘d’ to have an envelope following a gaussian function. All peaks in the vibrational trace were forced to become positive values to demonstrate the gaussian function. The negligible exponential decay can be seen, beginning at approximately 3.9ms.</p>
Supplementary material S18: Honeycomb jolting pulse spectra.
<p>Jolting pulse spectra on the honeycomb substrate. The jolting pulse spectra were analysed in the same way as those in S13 and S15. The magnitude of acceleration is logarithmic (to the base 10) where the highest magnitude (dark red) is 2.7x10<sup>-4 </sup>m/s<sup>2</sup> and the lowest magnitude (dark blue) is forced to be 1/30 of the maximum to reduce the contribution of meaningless noise.</p>
Supplementary material S17: All instances of jolting pulses on honeycomb where the vibrational trace is clearly visible (spectrograms).
<p>A series of spectrograms demonstrating the most clearly visible <em>Varroa </em>jolting vibrational pulses registered on honeycomb. These spectrograms showcase the larger variation that is observed in jolting pulses on this substrate. Panels e, f and h provide evidence for the broad-band and generation of signal at the high-frequency bandwidth. The magnitude of acceleration is logarithmic (to the base 10), where the maximum is in red (1x10<sup>-3</sup> m/s<sup>2</sup>) and the minimum blue (and forced to be 1/20 of the maximum).</p>
Supplementary material S15: Brood-comb jolting pulse spectra.
<p>Jolting pulse spectra on the brood-comb substrate. The jolting pulse spectra are sorted by magnitude in descending order. They were subject to the same analysis and filtering as the petri-dish data in S12 and the honeycomb data in S17. The magnitude of acceleration is logarithmic (to the base 10) where the highest magnitude (dark red) is 6x10<sup>-4 </sup>m/s<sup>2</sup> and the lowest magnitude (dark blue) is forced to be 1/40 of the maximum to reduce the contribution of meaningless noise.</p>
Supplementary material S13: Petri-dish jolting pulse spectra.
<p>Jolting pulse spectra on the petri-dish substrate. The magnitude of acceleration is logarithmic (to the power 10) where the highest magnitude (dark red) is 6.1x10<sup>-4 </sup>m/s<sup>2</sup> and the lowest magnitude (dark blue) is forced to be 1/50 of the maximum to reduce the contribution of meaningless noise. All pulses have been high pass filtered at 300 Hz to remove background noise without interfering with the frequency range where signal originating from the <em>Varroa </em>pulse is seen. </p>
Identifying behavioral and attitudinal barriers and drivers to promote consumption of pulses: A quantitative survey across five European countries
<p>Even though pulses are nutritious and environmentally friendly high-protein crops, they are commonly regarded as old-fashioned. Consumption of pulses is low in developed countries, and it has received very limited attention in agricultural and behavioral research over the past years. Based on a pan-European survey, the present study aims to provide extensive insights into consumer perceptions towards pulses. The objective is to identify effective measures to increase consumer acceptance of pulses, and thus potentially increase their share in the daily diets across Europe. Quantitative data was collected in May 2020 through a web-based survey conducted in five different European countries, Germany, Denmark, Spain, Poland, and the United Kingdom (N = 4,916). Quota-based sampling was used to ensure comparability across samples and wide coverage in terms of age, gender, and locality of residence. Using cluster analysis with a subsequent logistic regression, cross-cultural differences were found in terms of relatively high consumption of pulses among Spanish respondents, somewhat lower for Polish, German and UK respondents, and even lower among Danish respondents. Drivers of consumption significantly differed across surveyed samples, mainly being health first, followed by sensory preferences. For respondents from Poland, Spain, and Germany the main reason for not consuming pulses related to problems with digestion, whereas in the Danish and UK samples a neglect related to preparation. Future product development as well as increased information about nutrition and cooking of pulses could potentially increase consumer acceptance. Though, considering cross-cultural differences is important when developing strategies to promote consumption of pulses.</p>
Dataset of "Shock recovery with decaying compressive pulses: A shock effect in calcite (CaCO3) around the Hugoniot elastic limit"
<p>The text data supporting the figures on the manuscript. The names of variables are listed on the top column.</p>
On the electromagnetic-electron rings originating from the interaction of high-power short-pulse laser and underdense plasma
<p>This repository contains data for the paper P. Valenta et al., Phys. Plasmas 28, 122104 (2021); <a href="https://doi.org/10.1063/5.0065167" target="_blank" rel="noopener">https://doi.org/10.1063/5.0065167</a>. The data were obtained by the EPOCH (v4.18-devel) particle-in-cell code (<a href="https://epochpic.github.io" target="_blank" rel="noopener">https://epochpic.github.io</a>). The data analysis can be found on GitHub (<a href="https://github.com/valenpe7/5.0065167" target="_blank" rel="noopener">https://github.com/valenpe7/5.0065167</a>).</p>
Data: Responsiveness and habituation to repeated sound exposures and pulse trains in blue mussels
<p>Data abstract:</p> <p>Time series data on the valve gape behaviour of blue mussels (<em>Mytilus edulis</em>) that were exposured to sound treatments. Here, we provide the valve gape (time series data expressed in proportion open) of all mussels over the course of their trial and the timing of the sound exposures.</p> <p> </p> <p>Paper abstract:</p> <p>Anthropogenic sound has been shown to affect marine animals across taxa. However, bivalves and other invertebrates received limited attention and most studies across taxa focussed on immediate, rather than long-term, effects of sound. Most bivalves adopt a sessile or sedentary lifestyle and are therefore expected to be exposed to the same sounds for long periods or repeatedly. For this reason, bivalves are an especially relevant taxonomic group to study long-term effects of sound. In the current study, we examined whether blue mussels (<em>Mytilus edulis</em>) habituate to repeated sound exposures and whether they recover quicker from a single pulse exposure than from a pulse train. We equipped individual mussels with sensors to monitor valve gape and exposed them to repeated sound playback. We found that mussels responded to sound by partially closing their valves. This response was consistent and repeatable, but decayed over sequential exposures to the same sound stimulus, and was stronger again with exposure to a different sound. This pattern is clear evidence for acoustic habituation in a bivalve. Additionally, we found no differences in the initial response and recovery (time to return to baseline levels) between mussels that were exposed to single pulses and pulse trains. Our results therefore show that mussels are able to habituate to sound and suggest that mussels mostly respond to the onset of a pulse train. Future research is needed to determine whether mussels also habituate in situ to actual anthropogenic sound and whether a lack of a behavioural response also implies that other negative effects are also absent.</p> <p> </p> <p>Paper reference:</p> <p>Hubert, J., Booms, E., Witbaard, R., Slabbekoorn, H. (2022). Responsiveness and habituation to repeated sound exposures and pulse trains in blue mussels. <em>Journal of Experimental Marine Biology and Ecology</em>. 547, 151668. DOI: 10.1016/j.jembe.2021.151668</p>
Data Regarding Classification of Infrasonic Atmospheric Events Using Electromagnetic Pulse Analysis
<p> </p> <div>The following data files were used for the analysis presented in the paper </div> <div>"Classification of Infrasonic Atmospheric Events Using Electromagnetic Pulse Analysis"</div> <div> </div> <div>The files include details of the infrasonicly detected evnents, and features extracted from electromagnetic signals, as explined in the README file.</div>
Utilizing Hydrothermal Processing to Align Structure and In Vitro Digestion Kinetics between Three Different Pulse Types
<p>The data used for the graphs in the paper: Pälchen, K.; Van den Wouwer, B.; Duijsens, D.; Hendrickx, M.E.; Van Loey, A.; Grauwet, T. Utilizing Hydrothermal Processing to Align Structure and In Vitro Digestion Kinetics between Three Different Pulse Types. <em>Foods </em><strong>2021</strong>, <em>11</em>, 206. https://doi.org/10.3390/foods11020206</p> <p><strong>Abstract</strong></p> <p>Processing results in the transformation of pulses’ structural architecture. Consequently, digestion is anticipated to emerge from the combined effect of intrinsic (matrix-dependent) and extrinsic (processed-induced) factors. In this work, we aimed to investigate the interrelated effect of intrinsic and extrinsic factors on pulses’ structural architecture and resulting digestive consequences. Three commercially relevant pulses (chickpea, pea, black bean) were selected based on reported differences in macronutrient and cell wall composition. Starch and protein digestion kinetics of hydrothermally processed whole pulses were assessed along with microstructural and physicochemical characteristics and compared to the digestion behavior of individual cotyledon cells isolated thereof. Despite different rates of hardness decay upon hydrothermal processing, the pulses reached similar residual hardness values (40 N). Aligning the pulses at the level of this macrostructural property translated into similar microstructural characteristics after mechanical disintegration (isolated cotyledon cells) with comparable yields of cotyledon cells for all pulses (41–62%). We observed that processing to equivalent microstructural properties resulted in similar starch and protein digestion kinetics, regardless of the pulse type and (prolonged) processing times. This demonstrated the capacity of (residual) hardness as a food structuring parameter in pulses. Furthermore, we illustrated that the digestive behavior of isolated cotyledon cells was representative of the digestion behavior of corresponding whole pulses, opening up perspectives for the incorporation of complete hydrothermally processed pulses as food ingredients.</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.