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10 results for “Wrappers”
Wrapper Impact Workloads and BSC Slurm Simulator Output of Dynamic Traces from CEA Curie
<p>This dataset contains the workloads, with the workflow added to them, and the results of the simulations of the dynamic trace utilizing <a href="https://www.cs.huji.ac.il/labs/parallel/workload/l_cea_curie/index.html">Curie's workload</a> carried out using <a href="https://ieeexplore.ieee.org/abstract/document/8641556">BSC's SLURM Simulator</a>.</p> <p>It is organized in two folders: workloads and results. In the first, we find a folder per target fair share value that the user that we track its usage. Within, we have a file with the name indicating if the workflow is wrapped or not, the type, vertical or horizontal, and the instant of submission. This file is in <a href="https://www.cs.huji.ac.il/labs/parallel/workload/swf.html">SWF</a> format. Under the results folder, we have the same organizaion: each .trace is the raw file produced by the simulator. </p> <p>The workload log from the CEA Curie system was graciously provided by Joseph Emeras (<a href="mailto:Joseph.Emeras@imag.fr">Joseph.Emeras@imag.fr</a>).</p>
Accessible Oceans: Data Sonification Wrapper Earcons
<p>Original, earcon sounds to play before and after a data sonification. These auditory icons ensure there is a clear notification of the start and stop of the sonifications so that the learner knows when to start fully listening and then knows when the sonification is over.</p> <p>A semi-structured interview with two BLV teachers at the Perkins School for the Blind offered several ideas for helpful tactics in how to use sound to explain the principles of graphs. Sounds wrapping data sonifications was one best practice that emerged from the interview. We created original earcons for our project to serve this specific function.</p>
Bakta database test for galaxy wrapper
<p>This data repository contains a test database for Bakta genomic annotation tool.</p> <p>This not contain the database files except a json file</p> <p>- This repository is used to test the Galaxy wrapper related to the Bakta data_manager</p>
Wrapper Impact Workloads and BSC Slurm Simulator Output of Static Traces based on Data from LUMI Supercomputer
<p>This dataset contains the workloads, with the workflow added to them, and the results of the simulations of the static trace utilizing LUMI fitted data carried out using <a href="https://ieeexplore.ieee.org/abstract/document/8641556">BSC's SLURM Simulator</a>.</p> <p>It is organized in two folders: workloads and results. In the first, we find a folder per experiment, which is a different randomly generated workload file. Within each experiment we find a folder per fair share inidicating the target platform, the workflow it was based on, and the characteristics of the tracked job: number of cores and runtime. The results folder follows the same scheme but with a file extension of ".trace".</p>
Bakta database test for galaxy wrapper
<p>This data repository contains a test database for Bakta genomic annotation tool.</p> <p>This not contain the database files except a json file</p> <p>- This repository is used to test the Galaxy wrapper related to the Bakta data_manager</p>
The BigGrams: the semi-supervised information extraction system from HTML: an improvement in the wrapper induction - dataset
<p><strong>Brief description</strong></p> <p>The zip file contains two folders. The <strong>"websites"</strong> folder includes crawled web pages from real websites, like a agatameble.pl (an e-shop website), filmweb.pl (a website about films), and ptaki.info (a website about birds). The <strong>"reference-seeds"</strong> folder contains three subfolders, i.e. agatameble.pl, filmweb.pl, and ptaki.info. Each subfolder contains reference-seeds.csv file. The file contains data, i.e. reference instances - carefully labelled ground-truth of corresponding values in each web page of given websites mentioned above.</p> <p><strong>Reference</strong></p> <p>I would appreciate it if you cite the following paper when using the dataset:</p> <p>Marcin Mirończuk The BigGrams: the semi-supervised information extraction system from HTML: an improvement in the wrapper induction, Knowledge and Information Systems, Volume 54, Issue 3, p. 711–776, 2018, (pdf Open Access – http://rdcu.be/u88F lub DOI http://dx.doi.org/10.1007/s10115-017-1097-2)</p>
Laboratory Package: Efficient consumption between GraphQL API Wrappers and REST API
<p>The laboratory package contains the data set of the national results regarding Internet shopping behavior in Ecuador 2020. </p>
Retropath2_wrapper_Knime_4.6.4
<p>Dependencies needed by <a href="https://github.com/brsynth/RetroPath2-wrapper">Retropath2_wrapper</a></p> <p>Related to:</p> <p>Delépine B, Duigou T, Carbonell P, Faulon JL. RetroPath2.0: A retrosynthesis workflow for metabolic engineers. Metabolic Engineering, 45: 158-170, 2018. DOI: <a href="https://doi.org/10.1016/j.ymben.2017.12.002">https://doi.org/10.1016/j.ymben.2017.12.002</a></p> <p>Embedded Knime v4.6.4 (linux, mac, windows) and the associated dependencies.</p> <p>Visit also <a href="https://www.knime.com/">KNIME</a> website</p>
Retropath2_wrapper_Knime_4.7.0
<p>Dependencies needed by <a href="https://github.com/brsynth/RetroPath2-wrapper">Retropath2_wrapper</a></p> <p>Related to:</p> <p>Delépine B, Duigou T, Carbonell P, Faulon JL. RetroPath2.0: A retrosynthesis workflow for metabolic engineers. Metabolic Engineering, 45: 158-170, 2018. DOI: <a href="https://doi.org/10.1016/j.ymben.2017.12.002">https://doi.org/10.1016/j.ymben.2017.12.002</a></p> <p>Embedded Knime v4.7.0 (linux, mac, windows) and the associated dependencies.</p> <p>Visit also <a href="https://www.knime.com/">KNIME</a> website</p>
Test Dataset for MapSeq Data Manager Galaxy Wrapper
<p>Test Dataset used to test the Data Manager for the MapSeq Galaxy Wrapper</p>
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OpenNeuro
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