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89 results for “SPARK”
Implementation of Genomic Variant Calling Using GATK4, SPARK, WDL, CROMWELL and DOCKER Over Simulated Ebola NGS Dataset.
<p>Ebola genome is manually mutated to contain non-structural variants - 10 SNPs, 10 INDELs, 05 TRANSLOCATIONs, 05 INSERSIONs and their reverse complements. Paired-end illumina RNASEQ reads are simulated in fastq format. </p>
Implementation of Genomic Variant Calling Using GATK4, SPARK, WDL, CROMWELL and DOCKER Over Simulated Ebola NGS Dataset.
<p>Ebola genome is manually mutated to contain structural variants. There are seven mutated ebola genomes each one for two large deletions, insertions, duplications, translocations, inversions, one complex variant1 (consecutive three mutations - insertion, duplication and deletion) and one complex variants2 (consecutive three mutations - deletion, duplication and deletion). All insertions are novel sequence insertion. Paired-end illumine RNASEQ reads are simulated in fastq format.</p>
Implementation of Genomic Variant Calling Using GATK4, SPARK, WDL, CROMWELL and DOCKER Over Simulated Ebola NGS Dataset.
<p>Ebola genome is manually mutated to contain structural variants. There are seven mutated ebola genomes each one for large deletion, insertion, duplication, translocation, inversion, complex variant1 (consecutive three mutations - insertion, duplication and deletion) and complex variants2 (consecutive three mutations - deletion, duplication and deletion). All insertions are novel sequence insertion. Paired-end illumine RNASEQ reads are simulated in fastq format.</p>
The Reactivation of Decayed Positive Leader with Sudden Channel Elongation in Laboratory Long Spark
<p>The data support the manuscript entitled "The Reactivation of Decayed Positive Leader with Sudden Channel Elongation in Laboratory Long Spark". The *.rar file contains all data used therein and can be decompressed and opened, where these file folders contain the data corresponding to their respective Figures, as they are named. The data can be used freely for scientific purposes with appropriate citation.</p>
Highlighting health consequences of racial disparities sparks support for action
<p>Racial disparities arise across many vital areas of American life, including employment, health, and interpersonal treatment. For example, 1 in 3 Black children live in poverty (vs. 1 in 9 White children) and on average, Black Americans live 4 fewer years than White Americans. Which disparity is more likely to spark reduction efforts? We find that highlighting disparities in health-related (vs. economic) outcomes spurs greater social media engagement and support for disparity-mitigating policy. Further, reading about racial health disparities elicits greater support for action (e.g., protesting) than economic or belonging-based disparities. This occurs, in part, because people view health disparities as violating morally-sacred values which enhances perceived injustice. This work elucidates which manifestations of racial inequality are most likely to prompt Americans to action.</p>
Subnanosecond-electromagnetic-pulse-generated-by-a-long-spark-discharge:-Lightning-implication-data
<p><strong>Data description</strong></p><p>The data is used in the paper "Subnanosecond electromagnetic pulse generated by a long spark discharge: Lightning implication" (M. Gushchin et. al.) submitted in December 2023 in Geophysical Research Letters. Two types of files are presented. First are photos stored in "png" format. Second are waveforms stored in text files. First column is time and second is value. The delimiter is ";".</p><p><strong>Data is used in second figure</strong></p><p>Figure_2a.png -- Photo of the the appearance and growth of leaders with their streamer zones from the upper (HV) electrode</p><p>Figure_2b.png – First flash on the lower (grounded) electrode.</p><p>Figure_2c.png -- Common streamer zone formation after the upward leader starts.</p><p>Figure_2d.png -- Current increase in downward and upward leader channels, reduction in the size of the common streamer zone.</p><p>Figure_2e.png -- Discharge main stage.</p><p>Figure_2f_curve_1.dat -- Voltage waveform from the capacitive probe corresponds to "Figure_2a.png" photo. Time unit is mks, value unit is a.u.</p><p>Figure_2f_curve_2.dat -- Voltage waveform from the capacitive probe corresponds to "Figure_2b.png" photo. Time unit is mks, value unit is a.u.</p><p>Figure_2f_curve_3.dat -- Voltage waveform from the capacitive probe corresponds to "Figure_2c.png" photo. Time unit is mks, value unit is a.u.</p><p>Figure_2f_curve_4.dat -- Voltage waveform from the capacitive probe corresponds to "Figure_2e.png" photo. Time unit is mks, value unit is a.u.</p><p>Figure_2f_curve_5.dat -- Voltage waveform from the capacitive probe corresponds to "Figure_2f.png" photo. Time unit is mks, value unit is a.u.</p><p><strong>Data is used in third figure</strong></p><p>Figure_3b_curve1.dat -- The power waveform from RF analyzer f0 = 6 GHz, df = 40 MHz. Time unit is mks, value unit is dB.</p><p>Figure_3b_curve2.dat -- The power waveform from RF analyzer f0 = 5.5 GHz, df = 40 MHz. Time unit is mks, value unit is dB.</p><p>Figure_3b_curve3.dat -- The power waveform from RF analyzer f0 = 4.5 GHz, df = 40 MHz. Time unit is mks, value unit is dB.</p><p>Figure_3b_curve4.dat -- The power waveform from RF analyzer f0 = 3.5 GHz, df = 40 MHz. Time unit is mks, value unit is dB.</p><p>Figure_3b_curve5.dat -- The power waveform from RF analyzer f0 = 2 GHz, df = 40 MHz. Time unit is mks, value unit is dB.</p><p>Figure_3b_curve6.dat -- The power waveform from RF analyzer f0 = 1 GHz, df = 40 MHz. Time unit is mks, value unit is dB.</p><p>Figure_3a_curve1.dat -- The voltage pulse waveforms from a capacitive probe corresponds to "Figure_3b_curve1.dat" waveform. Time unit is mks, value unit is a.u.</p><p>Figure_3a_curve2.dat -- The voltage pulse waveforms from a capacitive probe corresponds to "Figure_3b_curve2.dat" waveform. Time unit is mks, value unit is a.u.</p><p>Figure_3a_curve3.dat -- The voltage pulse waveforms from a capacitive probe corresponds to "Figure_3b_curve3.dat" waveform. Time unit is mks, value unit is a.u.</p><p>Figure_3a_curve4.dat -- The voltage pulse waveforms from a capacitive probe corresponds to "Figure_3b_curve4.dat" waveform. Time unit is mks, value unit is a.u.</p><p>Figure_3a_curve5.dat -- The voltage pulse waveforms from a capacitive probe corresponds to "Figure_3b_curve5.dat" waveform. Time unit is mks, value unit is a.u.</p><p>Figure_3a_curve6.dat -- The voltage pulse waveforms from a capacitive probe corresponds to "Figure_3b_curve6.dat" waveform. Time unit is mks, value unit is a.u.</p><p>Figure_3c.dat -- Waveform obtained using TEMH. Time unit is mks, value unit is V/m.</p><p>Figure_3d.dat – Detailed waveform obtained using TEMH. Time unit is ns, value unit is V/m.</p><p> </p><p><strong>Data is used in fourth figure</strong></p><p>Figure_4b_curve_1.dat – TPMP waveform obtained during calibration. Time unit is ns, value unit is A/m.</p><p>Figure_4b_curve_2.dat – IPPL waveform obtained during calibration. Time unit is ns, value unit is E/m.</p><p>Figure_4c_curve_1.dat – TEMH waveform obtained in shot #104 at 12-oct-22. Time unit is ns, value unit is E/m.</p><p>Figure_4c_curve_2.dat – IPPL waveform obtained in shot #104 at 12-oct-22. Time unit is ns, value unit is E/m.</p><p>Figure_4d_curve_1.dat – TEMH waveform obtained in shot #19 at 13-oct-22. Time unit is ns, value unit is E/m.</p><p>Figure_4d_curve_2.dat – IPPL waveform obtained in shot #19 at 13-oct-22. Time unit is ns, value unit is E/m.</p><p>Figure_4e_curve_1.dat – TPMP waveform obtained in shot #19 at 25-sept-23. Time unit is ns, value unit is A/m.</p><p>Figure_4e_curve_2.dat – IPPL waveform obtained in shot #19 at 25-sept-23. Time unit is ns, value unit is E/m.</p><p>Figure_4f_curve_1.dat – TPMP waveform obtained in shot #2 at 27-sept-23. Time unit is ns, value unit is A/m.</p><p>Figure_4f_curve_2.dat – IPPL waveform obtained in shot #2 at 27-sept-23. Time unit is ns, value unit is E/m.</p><p><strong>Data is used in fifth figure.</strong></p><p>Figure_5a.png – The photo of negative discharge</p><p>Figure_5b.dat -- Waveform from a capacitive probe. Time units is mks, value units is a.u.</p><p>Figure_5c.dat -- The power waveform from RF analyzer f0 = 0.98 GHz, df = 40 MHz obtained simultaneously with Figure_5b.dat. Time unit is mks, value unit is dB. </p><p>Figure_5d.dat -- UWB EMP waveform obtained using TEMH obtained simultaneously with Figure_5c.dat. Time unit is ns, value unit is V/m.</p>
Experimental data from the initial validation of spark-eclib, a new framework for distributed metaheuristics in Spark
<p>This repository contains the experimental data obtained from two series of experiments to validate and profile <a href="https://doi.org/10.5281/zenodo.8431048"><strong>spark-eclib</strong></a>, a framework written in Scala to support the development of distributed population-based metaheuristics and their application to the global optimization of large-scale problems in Spark clusters:</p> <ul> <li>Experiments to validate the proposal of a generic topology for distributed PSO algorithms.</li> <li>Experiments to profile the parallel implementations of a PSO template.</li> </ul>
Dataset for Characterizing Distributed Machine Learning Workloads on Apache Spark
<div> <div> <div> <ul> <li> <p><span>YasmineDjebrouni,IsabellyRocha,SaraBouchenak,LydiaChen,PascalFelber,Vania Marangozova, and Valerio Schiavoni. 2023. Characterizing Distributed Machine Learning Workloads on Apache Spark. In Proceedings of the 24th International Middleware Conference (Middleware ’23). Association for Computing Machinery, New York, NY, USA, 151–164. </span></p> </li> </ul> </div> </div> </div>
Data supporting On the step type of continuous propagating positive leader in laboratory-scale long spark discharges
<p>The data supports the manuscript entitled "On the step type of continuous propagating positive leader in laboratory-scale long spark discharges". The *.txt file contains the applied voltage waveform and discharge current waveform. The*.doc file contains the data for Figure 5. The *.rar file contains the high-speed video frames, and can be decompressed and opened. The data can be used freely for scientific purposes with appropriate citation.</p>
Experimental data linked to publication "Process optimization and study of the co-sintering behaviour of Cu-Ni multi-material 3D structures fabricated by spark plasma sintering (SPS)"
<p>Those are all the experimental data used to produce the plots in the article</p>
SPARK_Artefice_session_201704_01
<p>Recording of a collaborative Design session between designers and clients.</p> <p>A design company receives its clients to discuss/contribute/co-design together. They develop new packaging for two products: rice soup and baby food using an ICT application based on Spatial Augmented Reality, which allows for a real-time modification. Language: Italian.</p>
SPARK_Stimulo_session_201704_01
<p>Recording of a collaborative Design session between designers and end-user.</p> <p>A design company invites a final consumer to provide his feedback about colors, material and finishes of a new product for sport training, using a SAR application which allows a real-time modification of the design contents. Language: mostly Spanish, few English.</p>
SPARK_Stimulo_session_05072017_Grenoble
<p>Recording of a collaborative design session between designers and end-users.</p> <p>A design company invites a final consumer to provide feedback on the layout of user interface elements (lights, speakers, buttons) and the aesthetic design (colours, materials and finishes) of an industrial product. The session is conducted using a Spatial Augmented Reality (SAR) application which allows a real-time modification of the design contents. Language: Spanish. </p>
SPARK_Artefice_session_05072017_Grenoble
<p>Recording of a collaborative design session between designers and clients.</p> <p>A design company receives its clients to discuss/contribute/co-design together. They develop new graphical layout options for the packaging of a tomato sauce product using an ICT application based on Spatial Augmented Reality, which allows for a real-time modification. Language: English.</p>
A performance comparison of Dask and Spark for data-intensive neuroimaging pipelines (Interactive Gantt chart)
<p>Interactive Gantt chart for the paper "A performance comparison of Dask and Spark for data-intensive neuroimaging pipelines".</p>
The influence of electric circuit parameters on NOx generation by transient spark discharge _ data
<p>dataset for</p> <p>The influence of electric circuit parameters on NOx generationby transient spark discharge</p> <p> </p> <p>Abstract</p> <p>Nitrogen fixation, production of NO and NO<sub>2</sub> from N<sub>2</sub> and O<sub>2</sub> in air, has been investigated with<br> transient spark self-pulsing DC discharges. NO production is boosted by the addition of capacitors<br> and an inductor to the electrical circuit which drives the discharge. The quantity of NO produced<br> per joule of electrical input energy is doubled, though the quantity of NO<sub>2</sub> produced drops. The<br> yield of NO is also increased because the modified circuit enables higher discharge currents to be<br> used. NO concentrations as high as 2000 ppm were obtained with input energy densities of around<br> 300 J per litre of input gas, whilst NO<sub>2</sub> concentrations were around 150 ppm. This simple<br> modification of the driving circuit may have potential for optimizing the plasma chemistry with<br> other input gas mixtures and for scaling up nitrogen fixation from air.</p>
Spark: Finding the Optimal Tracking Strategy for Weight Loss in a Digital Health Intervention
ClinicalTrials.gov study NCT05249465. IPD Sharing: NO. Countries: 1. Publications: 1.
SPARK Symptom Screening and Feedback to Providers
ClinicalTrials.gov study NCT03593525. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Highlighting health consequences of racial disparities sparks support for action
Open the record for dataset details and reuse information.
STL Fast Decompression Experiment Data for "Standing Shock Prevents Propagation of Sparks in Supersonic Explosive Flows"
<p><strong>Background</strong></p> <p>This data is camera images and pressure gauge and RF antenna voltage traces from rapid decompression shots at the STL shock tube facility. </p> <p>This data is used in figures 1, 2, 3, and 4 and corresponds to the STL shots listed in table S1 of the paper "Standing Shock Prevents Propagation of Sparks in Supersonic Explosive Flows".</p> <p>Electric sparks and explosive flows have long been associated with each other. Flowing dust particles originate charge through contact and separate based on inertia, resulting in strong electric fields supporting sparks. These sparks can cause explosions in dusty environments, especially those rich in carbon, such as coal mines and grain elevators. Recent observations of explosive events in nature and decompression experiments indicate that supersonic flows of explosions may alter the electrical discharge process. Shocks may suppress parts of the hierarchy of the discharge phenomena, such as leaders. In our decompression experiments, a shock tube ejects a flow of gas and particles into an expansion chamber. We imaged an illuminated plume from the decompression of a mixture of argon and <100 mg of diamond particles and observe sparks occurring below the sharp boundary of a condensation cloud. We also performed hydrodynamics simulations of the decompression event that provide insight into the conditions supporting the observed behavior. Simulation results agree closely with the experimentally observed Mach disk shock shape and height. This represents direct evidence that the sparks are sculpted by the outflow. The spatial and temporal scale of the sparks transmit an impression of the shock tube flow, a connection that could enable novel instrumentation to diagnose currently inaccessible supersonic granular phenomena.</p> <p><strong>Accessing Data</strong></p> <p>The prefixes of the filenames correspond to the shot dates and approximate times listed in table S1 of the paper. </p> <p>The "_SA4.zip" and "_SA3.zip" files contains tiff images of the SA4 and SA3 camera frames, respectively. The ".cih" file in each zip lists camera settings in plain text.</p> <p>The "OscilloscopeData.zip" contains files with prefixes corresponding to the shot dates and times listed in table and the diagnostic name. Files ending in ".csv" contain raw data and ".pdf" contain plots of the respective data. For pressure data, 1 V = 100 psi.</p>
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Allen Brain Atlas
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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.