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1,819 results for “Experimental data”
FAIRmat Tutorial 13: NOMAD for Experimental Data Management in Synthesis
<p>FAIRmat Tutorial 13, presented by <a href="https://www.fairmat-nfdi.eu/fairmat/areas-fairmat/area-a-fairmat" target="_blank" rel="noopener">FAIRmat Area A Synthesis</a>, introduces <a href="https://nomad-lab.eu/nomad-lab/" target="_blank" rel="noopener">NOMAD</a> and <a href="https://nomad-lab.eu/nomad-lab/nomad-oasis.html">NOMAD Oasis</a> as essential tools for research data management (RDM). This tutorial will specifically demonstrate how to utilize these tools for managing experimental materials science data, with a particular focus on synthesis data.</p> <p>Participants will learn about NOMAD's versatile data model, which ensures data interoperability, and its various types and levels of schemas, including custom yaml schemas, community standards, plugins, and BaseSections. The tutorial will also cover the integration of NOMAD with Electronic Lab Notebooks (ELNs) to enhance data documentation and management. A practical session will guide users through a typical synthesis data example, demonstrating how to start from NOMAD's built-in ELNs, develop a data schema, convert it into a NOMAD plugin for automated data processing, and deploy the schema on a local NOMAD Oasis. This hands-on approach will provide invaluable insights into customizing NOMAD to fit specific experimental workflows.</p> <p>The session is designed to serve various user groups, including standard users, data stewards & data scientists, and system administrators, ensuring that each participant gains a comprehensive understanding of the tool's capabilities and applications in their respective roles. Join us to explore how NOMAD can transform your approach to data management in experimental synthesis, leading to more efficient and coherent research outputs - FAIR principles in practice.</p> <p> </p> <p>Disclaimer: NOMAD is being continuously developed based on input and feedback from the scientific community. Hence the features, services or interface may have changed since the time of recording of this video. For up-to-date information please consult our latest tutorials and the NOMAD documentation <a href="https://nomad-lab.eu/prod/v1/docs/">https://nomad-lab.eu/prod/v1/docs/</a></p>
Thermophysical properties of hydrogen mixtures relevant for the development of the hydrogen economy: Review of available experimental data and thermodynamic models
<p>File: 1-s2.0-S096014812201271X-mmc1.docx</p> <p>This file (DOCX) contains additional figures associated with the hydrogen-containing systems.</p> <p>File: 1-s2.0-S096014812201271X-mmc2.xlsx</p> <p>This file (XLSX) contains tables with the coordinates of the VLE associated with the hydrogen-containing systems.</p> <p>File: 1-s2.0-S096014812201271X-mmc3.xlsx</p> <p>This file (XLSX) contains tables with the density data associated with the hydrogen-containing systems.</p> <p>File: 1-s2.0-S096014812201271X-mmc4.xlsx</p> <p>This file (XLSX) contains tables with the calorific data associated with the hydrogen-containing systems.</p> <p> </p> <p>File: 2022_Renewable Energy_Manuscript_repository.docx</p> <p>This is an author-created, un-copyedited version of an article accepted for publication in Renewable Energy (2022, 198, 1398-1429). The editor of the Journal is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The definitive publisher-authenticated, Open-Access version is available online at: https://doi.org/10.1016/j.renene.2022.08.096</p>
Experimental raw data and numerical model
<p>Experimental raw data and numerical models for the work of Siyuan Qiang et, al., (2023), which focuses on the relationship between the saturation exponents and pore water distribution.</p> <p>Run the main.m file for numerical simulation<br>The simulation schemes could be easily changed by updating the SIG1.txt file.</p> <p>.mat file:<br>variable 'SIP':measured SIP frequency magnitude and phase (in degree) in experiments<br>variable 'Sw':measured water saturation in experiments</p>
Data and code for "Experimental Observation of Topological Quantum Criticality" (matfiles, matlab script, and figures)
<p>Matlab code "zenodo_topological_quantum_criticality.m" generates Figure2 and 3 in the main script, and the Figure 2 and 3 in the Supplemental material. The generated figures are saved under folder 'figure', and the datasets used for the generation are saved under folder 'matfiles'. </p> <p>The raw measurement data (approx. 350 GB) will be shared only upon request. Please contact the Integrated Quantum Optics group (head: C. Silberhorn), Paderborn University.</p> <p>This is additional information of the publication arXiv:2301.05428 "Experimental Observation of Topological Quantum Criticality"</p>
Drydown and Recovery Experimental Data for Populus trichocarpa
<p>This repository contains data collected during a drydown and recovery experiment, which is described in the manuscript "Mind the data gap: Using a multi-measurement synthesis for identifying the challenges and opportunities in studying plant drought response and recovery". These data represent "Stage 1" data, where there has been reformatting and some additional labelling done to the raw imported data, but no further processing or analysis. Further processing and analysis of the data to be as shown in the manuscript is done via the python scripts available at: https://github.com/jvwilkening/Drydown_Expmt_Data_Analysis </p>
Fig. 13 Erythraeus regalis, larva. a Gnathosoma, ventral view. b in Towards resolving the double classification in Erythraeus (Actinotrichida: Erythraeidae): matching larvae with adults using 28S sequence data and experimental rearing
Fig. 13 Erythraeus regalis, larva. a Gnathosoma, ventral view. b Palp tarsus
On the Timed Analysis of Big-Data Applications - Experimental Data
<p>This archive includes experimental data associated to the paper:</p> <p>On the Timed Analysis of Big-Data Applications. Accepted in <em>Proceedings of Nasa Formal Methods</em> (NFM 2018). <br> Marconi, F., Quattrocchi, G., Baresi, L., Bersani, M.M., Rossi, M.. 2018</p> <p>Specifically, it includes detailed data regarding the verification tasks reported in Section 4 (Implementation and Validation of the Model).<br> In reference to Table 1 of the paper, the archive is organized in the following way: there is one folder for each case study (sort_by_key, pagerank, kmeans) and, for each of these folders, there is a subfolder for each configuration considered in the paper.</p> <p>Here we report an overview of the verification tasks performed. The name of the tables correspond to the code of the setting and to the name of the folder, while the id of each entry corresponds to the folder name of each experiment.</p> <pre><code class="language-markdown">## SortByKey Experiments ### sort_by_key_C12_T100_rec260000000 | Application | Cores | Deadline | Outcome | Verification Time | id | |-------|:-------:|:------:|:--------:|:--------:|:------:| | sort_by_key | 12 | 91000 | timeout | None | C1_t100_c12_c12_t100_nr260000000_tb20_no_l_d91000_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 91100 | timeout | None | C1_t100_c12_c12_t100_nr260000000_tb20_no_l_d91100_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 91200 | timeout | None | C1_t100_c12_c12_t100_nr260000000_tb20_no_l_d91200_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 91300 | timeout | None | C1_t100_c12_c12_t100_nr260000000_tb20_no_l_d91300_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 91360 | timeout | None | C1_t100_c12_c12_t100_nr260000000_tb20_no_l_d91360_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 91370 | timeout | None | C1_t100_c12_c12_t100_nr260000000_tb20_no_l_d91370_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 91380 | timeout | None | C1_t100_c12_c12_t100_nr260000000_tb20_no_l_d91380_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 91381 | timeout | None | C1_t100_c12_c12_t100_nr260000000_tb20_no_l_d91381_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 91382 | timeout | None | C1_t100_c12_c12_t100_nr260000000_tb20_no_l_d91382_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 91383 | timeout | None | C1_t100_c12_c12_t100_nr260000000_tb20_no_l_d91383_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 91384 | sat | 3.81 | C1_t100_c12_c12_t100_nr260000000_tb20_no_l_d91384_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 91385 | sat | 3.34 | C1_t100_c12_c12_t100_nr260000000_tb20_no_l_d91385_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 91386 | sat | 3.52 | C1_t100_c12_c12_t100_nr260000000_tb20_no_l_d91386_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 91387 | sat | 3.42 | C1_t100_c12_c12_t100_nr260000000_tb20_no_l_d91387_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 91388 | sat | 3.4 | C1_t100_c12_c12_t100_nr260000000_tb20_no_l_d91388_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 91389 | sat | 3.43 | C1_t100_c12_c12_t100_nr260000000_tb20_no_l_d91389_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 91390 | sat | 2.37 | C1_t100_c12_c12_t100_nr260000000_tb20_no_l_d91390_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 91400 | sat | 3.38 | C1_t100_c12_c12_t100_nr260000000_tb20_no_l_d91400_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 91500 | sat | 16.52 | C1_t100_c12_c12_t100_nr260000000_tb20_no_l_d91500_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 91600 | sat | 6.8 | C1_t100_c12_c12_t100_nr260000000_tb20_no_l_d91600_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 91700 | sat | 12.03 | C1_t100_c12_c12_t100_nr260000000_tb20_no_l_d91700_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 91800 | sat | 5.62 | C1_t100_c12_c12_t100_nr260000000_tb20_no_l_d91800_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 91900 | sat | 5.54 | C1_t100_c12_c12_t100_nr260000000_tb20_no_l_d91900_tc_12_8_n_rounds_by1_t_task | the minimum SAT deadline is: 91384 ### sort_by_key_C12_T100_rec280000000 | Application | Cores | Deadline | Outcome | Verification Time | id | |-------|:-------:|:------:|:--------:|:--------:|:------:| | sort_by_key | 12 | 98200 | timeout | None | C1_t100_c12_c12_t100_nr280000000_tb20_no_l_d98200_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 98300 | timeout | None | C1_t100_c12_c12_t100_nr280000000_tb20_no_l_d98300_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 98400 | timeout | None | C1_t100_c12_c12_t100_nr280000000_tb20_no_l_d98400_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 98402 | timeout | None | C1_t100_c12_c12_t100_nr280000000_tb20_no_l_d98402_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 98403 | timeout | None | C1_t100_c12_c12_t100_nr280000000_tb20_no_l_d98403_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 98404 | timeout | None | C1_t100_c12_c12_t100_nr280000000_tb20_no_l_d98404_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 98405 | timeout | None | C1_t100_c12_c12_t100_nr280000000_tb20_no_l_d98405_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 98406 | timeout | None | C1_t100_c12_c12_t100_nr280000000_tb20_no_l_d98406_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 98407 | timeout | None | C1_t100_c12_c12_t100_nr280000000_tb20_no_l_d98407_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 98408 | timeout | None | C1_t100_c12_c12_t100_nr280000000_tb20_no_l_d98408_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 98409 | timeout | None | C1_t100_c12_c12_t100_nr280000000_tb20_no_l_d98409_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 98410 | timeout | None | C1_t100_c12_c12_t100_nr280000000_tb20_no_l_d98410_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 98420 | sat | 3.48 | C1_t100_c12_c12_t100_nr280000000_tb20_no_l_d98420_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 98430 | sat | 3.57 | C1_t100_c12_c12_t100_nr280000000_tb20_no_l_d98430_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 98440 | sat | 6.68 | C1_t100_c12_c12_t100_nr280000000_tb20_no_l_d98440_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 98450 | sat | 7.1 | C1_t100_c12_c12_t100_nr280000000_tb20_no_l_d98450_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 98460 | sat | 37.07 | C1_t100_c12_c12_t100_nr280000000_tb20_no_l_d98460_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 98470 | sat | 10.33 | C1_t100_c12_c12_t100_nr280000000_tb20_no_l_d98470_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 98480 | sat | 18.14 | C1_t100_c12_c12_t100_nr280000000_tb20_no_l_d98480_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 98490 | sat | 10.78 | C1_t100_c12_c12_t100_nr280000000_tb20_no_l_d98490_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 98500 | sat | 3.43 | C1_t100_c12_c12_t100_nr280000000_tb20_no_l_d98500_tc_12_8_n_rounds_by1_t_task | the minimum SAT deadline is: 98420 ### sort_by_key_C12_T100_rec300000000 | Application | Cores | Deadline | Outcome | Verification Time | id | |-------|:-------:|:------:|:--------:|:--------:|:------:| | sort_by_key | 12 | 105200 | timeout | None | C1_t100_c12_c12_t100_nr300000000_tb20_no_l_d105200_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 105300 | timeout | None | C1_t100_c12_c12_t100_nr300000000_tb20_no_l_d105300_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 105400 | timeout | None | C1_t100_c12_c12_t100_nr300000000_tb20_no_l_d105400_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 105420 | timeout | None | C1_t100_c12_c12_t100_nr300000000_tb20_no_l_d105420_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 105430 | timeout | None | C1_t100_c12_c12_t100_nr300000000_tb20_no_l_d105430_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 105440 | timeout | None | C1_t100_c12_c12_t100_nr300000000_tb20_no_l_d105440_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 105441 | timeout | None | C1_t100_c12_c12_t100_nr300000000_tb20_no_l_d105441_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 105442 | timeout | None | C1_t100_c12_c12_t100_nr300000000_tb20_no_l_d105442_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 105443 | sat | 3.33 | C1_t100_c12_c12_t100_nr300000000_tb20_no_l_d105443_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 105444 | sat | 3.35 | C1_t100_c12_c12_t100_nr300000000_tb20_no_l_d105444_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 105445 | sat | 3.3 | C1_t100_c12_c12_t100_nr300000000_tb20_no_l_d105445_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 105446 | sat | 3.31 | C1_t100_c12_c12_t100_nr300000000_tb20_no_l_d105446_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 105447 | sat | 3.37 | C1_t100_c12_c12_t100_nr300000000_tb20_no_l_d105447_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 105448 | sat | 3.37 | C1_t100_c12_c12_t100_nr300000000_tb20_no_l_d105448_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 105449 | sat | 3.3 | C1_t100_c12_c12_t100_nr300000000_tb20_no_l_d105449_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 105450 | sat | 3.02 | C1_t100_c12_c12_t100_nr300000000_tb20_no_l_d105450_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 105460 | sat | 3.03 | C1_t100_c12_c12_t100_nr300000000_tb20_no_l_d105460_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 105470 | sat | 4.52 | C1_t100_c12_c12_t100_nr300000000_tb20_no_l_d105470_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 105480 | sat | 4.54 | C1_t100_c12_c12_t100_nr300000000_tb20_no_l_d105480_tc_12_8_n_rounds_by1_t_task | | sort_by_key | 12 | 105490 | sat | 9.48 | C1_t100_c12_c12_t100_nr300000000_tb20_no_l_d105490_tc_12_8_n_rounds_by1_t_task | the minimum SAT deadline is: 105443 ### sort_by_key_C22_T100_rec260000000 | Application | Cores | Deadline | Outcome | Verification Time | id | |-------|:-------:|:------:|:--------:|:--------:|:------:| | sort_by_key | 22 | 70000 | timeout | None | C2_t100_c22_c22_t100_nr260000000_tb20_no_l_d70000_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 70500 | timeout | None | C2_t100_c22_c22_t100_nr260000000_tb20_no_l_d70500_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 71000 | timeout | None | C2_t100_c22_c22_t100_nr260000000_tb20_no_l_d71000_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 71500 | timeout | None | C2_t100_c22_c22_t100_nr260000000_tb20_no_l_d71500_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 72000 | timeout | None | C2_t100_c22_c22_t100_nr260000000_tb20_no_l_d72000_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 72250 | timeout | None | C2_t100_c22_c22_t100_nr260000000_tb20_no_l_d72250_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 72500 | timeout | None | C2_t100_c22_c22_t100_nr260000000_tb20_no_l_d72500_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 72750 | timeout | None | C2_t100_c22_c22_t100_nr260000000_tb20_no_l_d72750_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 72885 | timeout | None | C2_t100_c22_c22_t100_nr260000000_tb20_no_l_d72885_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 72890 | timeout | None | C2_t100_c22_c22_t100_nr260000000_tb20_no_l_d72890_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 72895 | timeout | None | C2_t100_c22_c22_t100_nr260000000_tb20_no_l_d72895_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 72898 | timeout | None | C2_t100_c22_c22_t100_nr260000000_tb20_no_l_d72898_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 72899 | timeout | None | C2_t100_c22_c22_t100_nr260000000_tb20_no_l_d72899_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 72900 | timeout | None | C2_t100_c22_c22_t100_nr260000000_tb20_no_l_d72900_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 72901 | timeout | None | C2_t100_c22_c22_t100_nr260000000_tb20_no_l_d72901_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 72902 | timeout | None | C2_t100_c22_c22_t100_nr260000000_tb20_no_l_d72902_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 72903 | timeout | None | C2_t100_c22_c22_t100_nr260000000_tb20_no_l_d72903_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 72904 | sat | 9.35 | C2_t100_c22_c22_t100_nr260000000_tb20_no_l_d72904_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 72905 | sat | 8.16 | C2_t100_c22_c22_t100_nr260000000_tb20_no_l_d72905_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 72910 | sat | 8.15 | C2_t100_c22_c22_t100_nr260000000_tb20_no_l_d72910_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 72915 | sat | 7.72 | C2_t100_c22_c22_t100_nr260000000_tb20_no_l_d72915_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 72920 | sat | 7.55 | C2_t100_c22_c22_t100_nr260000000_tb20_no_l_d72920_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 72925 | sat | 5.29 | C2_t100_c22_c22_t100_nr260000000_tb20_no_l_d72925_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 72930 | sat | 10.23 | C2_t100_c22_c22_t100_nr260000000_tb20_no_l_d72930_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 72935 | sat | 11.21 | C2_t100_c22_c22_t100_nr260000000_tb20_no_l_d72935_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 72940 | sat | 10.98 | C2_t100_c22_c22_t100_nr260000000_tb20_no_l_d72940_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 72945 | sat | 12.62 | C2_t100_c22_c22_t100_nr260000000_tb20_no_l_d72945_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 72950 | sat | 12.55 | C2_t100_c22_c22_t100_nr260000000_tb20_no_l_d72950_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 72955 | sat | 3.19 | C2_t100_c22_c22_t100_nr260000000_tb20_no_l_d72955_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 72960 | sat | 2.62 | C2_t100_c22_c22_t100_nr260000000_tb20_no_l_d72960_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 72965 | sat | 2.62 | C2_t100_c22_c22_t100_nr260000000_tb20_no_l_d72965_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 72970 | sat | 2.63 | C2_t100_c22_c22_t100_nr260000000_tb20_no_l_d72970_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 72975 | sat | 2.62 | C2_t100_c22_c22_t100_nr260000000_tb20_no_l_d72975_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 72980 | sat | 2.72 | C2_t100_c22_c22_t100_nr260000000_tb20_no_l_d72980_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 72985 | sat | 2.6 | C2_t100_c22_c22_t100_nr260000000_tb20_no_l_d72985_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 72990 | sat | 2.55 | C2_t100_c22_c22_t100_nr260000000_tb20_no_l_d72990_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 72995 | sat | 2.56 | C2_t100_c22_c22_t100_nr260000000_tb20_no_l_d72995_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 73000 | sat | 3.2 | C2_t100_c22_c22_t100_nr260000000_tb20_no_l_d73000_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 74000 | sat | 6.34 | C2_t100_c22_c22_t100_nr260000000_tb20_no_l_d74000_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 75000 | sat | 3.88 | C2_t100_c22_c22_t100_nr260000000_tb20_no_l_d75000_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 76000 | sat | 4.6 | C2_t100_c22_c22_t100_nr260000000_tb20_no_l_d76000_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 77000 | sat | 4.15 | C2_t100_c22_c22_t100_nr260000000_tb20_no_l_d77000_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 78000 | sat | 1.89 | C2_t100_c22_c22_t100_nr260000000_tb20_no_l_d78000_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 79000 | sat | 3.28 | C2_t100_c22_c22_t100_nr260000000_tb20_no_l_d79000_tc_22_10_n_rounds_by1_t_task | the minimum SAT deadline is: 72904 ### sort_by_key_C22_T100_rec280000000 | Application | Cores | Deadline | Outcome | Verification Time | id | |-------|:-------:|:------:|:--------:|:--------:|:------:| | sort_by_key | 22 | 78000 | timeout | None | C2_t100_c22_c22_t100_nr280000000_tb20_no_l_d78000_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 78480 | timeout | None | C2_t100_c22_c22_t100_nr280000000_tb20_no_l_d78480_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 78485 | timeout | None | C2_t100_c22_c22_t100_nr280000000_tb20_no_l_d78485_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 78490 | timeout | None | C2_t100_c22_c22_t100_nr280000000_tb20_no_l_d78490_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 78492 | timeout | None | C2_t100_c22_c22_t100_nr280000000_tb20_no_l_d78492_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 78494 | timeout | None | C2_t100_c22_c22_t100_nr280000000_tb20_no_l_d78494_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 78495 | timeout | None | C2_t100_c22_c22_t100_nr280000000_tb20_no_l_d78495_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 78496 | timeout | None | C2_t100_c22_c22_t100_nr280000000_tb20_no_l_d78496_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 78497 | timeout | None | C2_t100_c22_c22_t100_nr280000000_tb20_no_l_d78497_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 78498 | timeout | None | C2_t100_c22_c22_t100_nr280000000_tb20_no_l_d78498_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 78499 | timeout | None | C2_t100_c22_c22_t100_nr280000000_tb20_no_l_d78499_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 78500 | sat | 40.11 | C2_t100_c22_c22_t100_nr280000000_tb20_no_l_d78500_tc_22_10_n_rounds_by1_t_task_num_v | | sort_by_key | 22 | 78750 | sat | 1.33 | C2_t100_c22_c22_t100_nr280000000_tb20_no_l_d78750_tc_22_10_n_rounds_by1_t_task_num_v | | sort_by_key | 22 | 79000 | sat | 9.14 | C2_t100_c22_c22_t100_nr280000000_tb20_no_l_d79000_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 80000 | sat | 2.27 | C2_t100_c22_c22_t100_nr280000000_tb20_no_l_d80000_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 81000 | sat | 1.98 | C2_t100_c22_c22_t100_nr280000000_tb20_no_l_d81000_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 82000 | sat | 5.89 | C2_t100_c22_c22_t100_nr280000000_tb20_no_l_d82000_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 83000 | sat | 8.81 | C2_t100_c22_c22_t100_nr280000000_tb20_no_l_d83000_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84000 | sat | 1.86 | C2_t100_c22_c22_t100_nr280000000_tb20_no_l_d84000_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 85000 | sat | 2.46 | C2_t100_c22_c22_t100_nr280000000_tb20_no_l_d85000_tc_22_10_n_rounds_by1_t_task | the minimum SAT deadline is: 78500 ### sort_by_key_C22_T100_rec300000000 | Application | Cores | Deadline | Outcome | Verification Time | id | |-------|:-------:|:------:|:--------:|:--------:|:------:| | sort_by_key | 22 | 5000 | unsat | 0.56 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d5000_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 10000 | unsat | 0.44 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d10000_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 12000 | unsat | 1.07 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d12000_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 15000 | unsat | 1.72 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d15000_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 20000 | unsat | 1.13 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d20000_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 25000 | unsat | 3.71 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d25000_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 30000 | unsat | 4.27 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d30000_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 35000 | unsat | 15.73 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d35000_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 40000 | unsat | 8.82 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d40000_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 45000 | unsat | 15.27 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d45000_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 50000 | unsat | 19.42 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d50000_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 55000 | unsat | 39.81 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d55000_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 60000 | unsat | 39.71 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d60000_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 65000 | unsat | 87.48 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d65000_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 70000 | unsat | 120.21 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d70000_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 72500 | unsat | 172.18 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d72500_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 74000 | unsat | 186.82 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d74000_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 75000 | unsat | 120.49 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d75000_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 76000 | unsat | 1175.84 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d76000_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 76250 | unsat | 1167.23 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d76250_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 77500 | unsat | 2091.15 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d77500_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 78250 | unsat | 3000.66 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d78250_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 80000 | unsat | 34239.41 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d80000_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 81250 | unsat | 79433.55 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d81250_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 82500 | unsat | 198577.62 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d82500_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 83000 | unsat | 183847.9 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d83000_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 83750 | unsat | 245288.49 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d83750_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84000 | unsat | 276617.22 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84000_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84100 | timeout | None | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84100_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84101 | unsat | 253379.92 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84101_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84102 | timeout | None | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84102_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84103 | unsat | 254808.3 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84103_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84104 | timeout | None | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84104_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84105 | unsat | 269304.76 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84105_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84106 | timeout | None | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84106_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84107 | unsat | 242278.6 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84107_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84108 | timeout | None | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84108_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84109 | unsat | 260411.26 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84109_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84110 | timeout | None | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84110_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84111 | unsat | 259311.3 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84111_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84112 | timeout | None | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84112_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84113 | timeout | None | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84113_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84114 | timeout | None | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84114_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84115 | unsat | 230687.19 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84115_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84116 | timeout | None | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84116_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84117 | unsat | 281773.79 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84117_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84118 | timeout | None | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84118_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84119 | unsat | 272785.32 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84119_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84120 | sat | 4.09 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84120_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84121 | sat | 3.98 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84121_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84122 | sat | 4.01 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84122_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84123 | sat | 4.28 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84123_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84124 | sat | 4.24 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84124_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84125 | sat | 4.22 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84125_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84126 | sat | 4.25 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84126_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84127 | sat | 4.39 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84127_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84128 | sat | 4.23 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84128_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84129 | sat | 4.14 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84129_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84130 | sat | 4.07 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84130_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84131 | sat | 4.24 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84131_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84132 | sat | 4.42 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84132_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84133 | sat | 4.32 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84133_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84134 | sat | 4.31 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84134_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84135 | sat | 4.33 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84135_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84136 | sat | 4.26 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84136_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84137 | sat | 4.01 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84137_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84138 | sat | 3.82 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84138_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84139 | sat | 4.07 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84139_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84140 | sat | 4.38 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84140_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84141 | sat | 8.74 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84141_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84142 | sat | 8.98 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84142_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84143 | sat | 9.1 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84143_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84144 | sat | 9.09 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84144_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84145 | sat | 9.19 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84145_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84146 | sat | 9.1 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84146_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84147 | sat | 8.82 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84147_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84148 | sat | 6.54 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84148_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84149 | sat | 6.56 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84149_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84150 | sat | 6.59 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84150_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84151 | sat | 6.84 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84151_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84152 | sat | 6.87 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84152_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84153 | sat | 6.97 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84153_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84154 | sat | 6.88 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84154_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84155 | sat | 6.98 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84155_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84156 | sat | 6.71 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84156_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84157 | sat | 6.75 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84157_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84158 | sat | 6.42 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84158_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84159 | sat | 6.62 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84159_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84160 | sat | 6.75 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84160_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84161 | sat | 6.95 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84161_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84162 | sat | 7.03 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84162_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84163 | sat | 6.98 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84163_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84164 | sat | 7.08 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84164_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84165 | sat | 6.93 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84165_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84166 | sat | 6.81 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84166_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84167 | sat | 6.47 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84167_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84168 | sat | 6.66 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84168_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84169 | sat | 6.73 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84169_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84171 | sat | 6.8 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84171_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84172 | sat | 6.81 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84172_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84173 | sat | 6.71 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84173_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84174 | sat | 3.56 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84174_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84175 | sat | 3.26 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84175_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84176 | sat | 3.52 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84176_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84177 | sat | 3.6 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84177_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84178 | sat | 3.02 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84178_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84179 | sat | 3.6 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84179_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84180 | sat | 3.62 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84180_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84181 | sat | 3.59 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84181_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84182 | sat | 3.62 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84182_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84183 | sat | 6.72 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84183_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84184 | sat | 6.58 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84184_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84186 | sat | 6.59 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84186_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84187 | sat | 6.85 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84187_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84188 | sat | 6.56 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84188_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84189 | sat | 6.88 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84189_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84190 | sat | 6.84 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84190_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84191 | sat | 6.86 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84191_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84192 | sat | 6.94 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84192_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84193 | sat | 6.93 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84193_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84194 | sat | 6.91 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84194_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84195 | sat | 6.84 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84195_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84196 | sat | 6.99 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84196_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84197 | sat | 6.89 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84197_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84198 | sat | 6.95 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84198_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84200 | sat | 8.04 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84200_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 | 84300 | sat | 11.06 | C2_t100_c22_c22_t100_nr300000000_tb20_no_l_d84300_tc_22_10_n_rounds_by1_t_task | | sort_by_key | 22 </code></pre> <p> </p> <pre><code class="language-markdown"> ## PageRank Experiments ### pagerank_C28_T128_rec200000000 | Application | Cores | Deadline | Outcome | Verification Time | id | |-------|:-------:|:------:|:--------:|:--------:|:------:| | pagerank | 28 | 61000 | timeout | None | exp_n4_c28_p140_SPARKSEQ_5_rounds_replica_c28_t128_nr200000000_tb45_no_l_d61000_tc_28_12_n_rounds_by1_t_task_num_v | | pagerank | 28 | 61500 | timeout | None | exp_n4_c28_p140_SPARKSEQ_5_rounds_replica_c28_t128_nr200000000_tb45_no_l_d61500_tc_28_12_n_rounds_by1_t_task_num_v | | pagerank | 28 | 62000 | timeout | None | exp_n4_c28_p140_SPARKSEQ_5_rounds_replica_c28_t128_nr200000000_tb45_no_l_d62000_tc_28_12_n_rounds_by1_t_task_num_v | | pagerank | 28 | 62500 | sat | 7805.0 | exp_n4_c28_p140_SPARKSEQ_5_rounds_replica_c28_t128_nr200000000_tb45_no_l_d62500_tc_28_12_n_rounds_by1_t_task_num_v | | pagerank | 28 | 63000 | sat | 330.87 | exp_n4_c28_p140_SPARKSEQ_5_rounds_replica_c28_t128_nr200000000_tb45_no_l_d63000_tc_28_12_n_rounds_by1_t_task_num_v | | pagerank | 28 | 63500 | sat | 79.78 | exp_n4_c28_p140_SPARKSEQ_5_rounds_replica_c28_t128_nr200000000_tb45_no_l_d63500_tc_28_12_n_rounds_by1_t_task_num_v | the minimum SAT deadline is: 62500 ### pagerank_C28_T128_rec300000000 | Application | Cores | Deadline | Outcome | Verification Time | id | |-------|:-------:|:------:|:--------:|:--------:|:------:| | pagerank | 28 | 93000 | timeout | None | exp_n4_c28_p140_SPARKSEQ_5_rounds_replica_c28_t128_nr300000000_tb45_no_l_d93000_tc_28_12_n_rounds_by1_t_task_num_v | | pagerank | 28 | 94000 | sat | 192.86 | exp_n4_c28_p140_SPARKSEQ_5_rounds_replica_c28_t128_nr300000000_tb45_no_l_d94000_tc_28_12_n_rounds_by1_t_task_num_v | | pagerank | 28 | 94001 | sat | 7331.63 | exp_n4_c28_p140_SPARKSEQ_5_rounds_replica_c28_t128_nr300000000_tb45_no_l_d94001_tc_28_12_n_rounds_by1_t_task_num_v | | pagerank | 28 | 94501 | sat | 1934.68 | exp_n4_c28_p140_SPARKSEQ_5_rounds_replica_c28_t128_nr300000000_tb45_no_l_d94501_tc_28_12_n_rounds_by1_t_task_num_v | | pagerank | 28 | 94502 | sat | 2856.96 | exp_n4_c28_p140_SPARKSEQ_5_rounds_replica_c28_t128_nr300000000_tb55_no_l_d94502_tc_28_12_n_rounds_by1_t_task_num_v | | pagerank | 28 | 95000 | sat | 221.22 | exp_n4_c28_p140_SPARKSEQ_5_rounds_replica_c28_t128_nr300000000_tb45_no_l_d95000_tc_28_12_n_rounds_by1_t_task_num_v | | pagerank | 28 | 95001 | sat | 173.91 | exp_n4_c28_p140_SPARKSEQ_5_rounds_replica_c28_t128_nr300000000_tb45_no_l_d95001_tc_28_12_n_rounds_by1_t_task_num_v | | pagerank | 28 | 96001 | sat | 87.89 | exp_n4_c28_p140_SPARKSEQ_5_rounds_replica_c28_t128_nr300000000_tb45_no_l_d96001_tc_28_12_n_rounds_by1_t_task_num_v | | pagerank | 28 | 97001 | sat | 70.07 | exp_n4_c28_p140_SPARKSEQ_5_rounds_replica_c28_t128_nr300000000_tb45_no_l_d97001_tc_28_12_n_rounds_by1_t_task_num_v | the minimum SAT deadline is: 94000 ### pagerank_C28_T128_rec400000000 | Application | Cores | Deadline | Outcome | Verification Time | id | |-------|:-------:|:------:|:--------:|:--------:|:------:| | pagerank | 28 | 118000 | timeout | None | exp_n4_c28_p140_SPARKSEQ_5_rounds_replica_c28_t128_nr400000000_tb45_no_l_d118000_tc_28_12_n_rounds_by1_t_task_num_v | | pagerank | 28 | 119000 | timeout | None | exp_n4_c28_p140_SPARKSEQ_5_rounds_replica_c28_t128_nr400000000_tb45_no_l_d119000_tc_28_12_n_rounds_by1_t_task_num_v | | pagerank | 28 | 119001 | timeout | None | exp_n4_c28_p140_SPARKSEQ_5_rounds_replica_c28_t128_nr400000000_tb45_no_l_d119001_tc_28_12_n_rounds_by1_t_task_num_v | | pagerank | 28 | 120000 | timeout | None | exp_n4_c28_p140_SPARKSEQ_5_rounds_replica_c28_t128_nr400000000_tb45_no_l_d120000_tc_28_12_n_rounds_by1_t_task_num_v | | pagerank | 28 | 120001 | timeout | None | exp_n4_c28_p140_SPARKSEQ_5_rounds_replica_c28_t128_nr400000000_tb45_no_l_d120001_tc_28_12_n_rounds_by1_t_task_num_v | | pagerank | 28 | 120002 | sat | 138.84 | exp_n4_c28_p140_SPARKSEQ_5_rounds_replica_c28_t128_nr400000000_tb45_no_l_d120002_tc_28_12_n_rounds_by1_t_task_num_v | | pagerank | 28 | 120003 | sat | 272.19 | exp_n4_c28_p140_SPARKSEQ_5_rounds_replica_c28_t128_nr400000000_tb45_no_l_d120003_tc_28_12_n_rounds_by1_t_task_num_v | | pagerank | 28 | 120004 | sat | 2072.06 | exp_n4_c28_p140_SPARKSEQ_5_rounds_replica_c28_t128_nr400000000_tb45_no_l_d120004_tc_28_12_n_rounds_by1_t_task_num_v | | pagerank | 28 | 121000 | sat | 580.28 | exp_n4_c28_p140_SPARKSEQ_5_rounds_replica_c28_t128_nr400000000_tb45_no_l_d121000_tc_28_12_n_rounds_by1_t_task_num_v | | pagerank | 28 | 121001 | sat | 55.8 | exp_n4_c28_p140_SPARKSEQ_5_rounds_replica_c28_t128_nr400000000_tb45_no_l_d121001_tc_28_12_n_rounds_by1_t_task_num_v | | pagerank | 28 | 122000 | sat | 301.84 | exp_n4_c28_p140_SPARKSEQ_5_rounds_replica_c28_t128_nr400000000_tb45_no_l_d122000_tc_28_12_n_rounds_by1_t_task_num_v | | pagerank | 28 | 122001 | sat | 187.93 | exp_n4_c28_p140_SPARKSEQ_5_rounds_replica_c28_t128_nr400000000_tb45_no_l_d122001_tc_28_12_n_rounds_by1_t_task_num_v | | pagerank | 28 | 124000 | sat | 51.47 | exp_n4_c28_p140_SPARKSEQ_5_rounds_replica_c28_t128_nr400000000_tb45_no_l_d124000_tc_28_12_n_rounds_by1_t_task_num_v | | pagerank | 28 | 131000 | sat | 46.01 | exp_n4_c28_p140_SPARKSEQ_5_rounds_replica_c28_t128_nr400000000_tb45_no_l_d131000_tc_28_12_n_rounds_by1_t_task_num_v | the minimum SAT deadline is: 120002 ### pagerank_C48_T128_rec200000000 | Application | Cores | Deadline | Outcome | Verification Time | id | |-------|:-------:|:------:|:--------:|:--------:|:------:| | pagerank | 48 | 5000 | unsat | 20.91 | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr200000000_tb45_no_l_d5000_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 10000 | unsat | 1002.53 | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr200000000_tb45_no_l_d10000_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 15000 | unsat | 407.96 | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr200000000_tb45_no_l_d15000_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 20000 | unsat | 667.32 | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr200000000_tb45_no_l_d20000_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 25000 | unsat | 1263.14 | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr200000000_tb45_no_l_d25000_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 30000 | unsat | 3561.83 | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr200000000_tb45_no_l_d30000_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 35000 | unsat | 12742.87 | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr200000000_tb45_no_l_d35000_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 37000 | unsat | 44051.41 | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr200000000_tb45_no_l_d37000_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 40000 | timeout | None | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr200000000_tb45_no_l_d40000_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 43000 | timeout | None | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr200000000_tb45_no_l_d43000_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 45000 | timeout | None | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr200000000_tb45_no_l_d45000_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 46000 | timeout | None | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr200000000_tb45_no_l_d46000_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 46050 | timeout | None | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr200000000_tb45_no_l_d46050_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 46100 | timeout | None | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr200000000_tb45_no_l_d46100_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 46200 | timeout | None | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr200000000_tb45_no_l_d46200_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 46250 | timeout | None | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr200000000_tb45_no_l_d46250_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 46750 | timeout | None | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr200000000_tb45_no_l_d46750_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 46900 | timeout | None | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr200000000_tb45_no_l_d46900_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 47000 | sat | 59.41 | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr200000000_tb45_no_l_d47000_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 48000 | sat | 39.88 | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr200000000_tb45_no_l_d48000_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 49000 | sat | 31.35 | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr200000000_tb45_no_l_d49000_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 50000 | sat | 45.02 | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr200000000_tb45_no_l_d50000_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 51000 | sat | 43.73 | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr200000000_tb45_no_l_d51000_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 52000 | sat | 36.25 | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr200000000_tb45_no_l_d52000_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 52500 | sat | 40.5 | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr200000000_tb45_no_l_d52500_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 53500 | sat | 40.61 | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr200000000_tb45_no_l_d53500_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 54000 | sat | 39.9 | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr200000000_tb45_no_l_d54000_tc_48_16_n_rounds_by1_t_task_num_v | the minimum SAT deadline is: 47000 ### pagerank_C48_T128_rec300000000 | Application | Cores | Deadline | Outcome | Verification Time | id | |-------|:-------:|:------:|:--------:|:--------:|:------:| | pagerank | 48 | 64000 | timeout | None | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr300000000_tb45_no_l_d64000_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 65000 | timeout | None | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr300000000_tb45_no_l_d65000_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 65050 | timeout | None | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr300000000_tb45_no_l_d65050_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 65100 | sat | 1282.46 | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr300000000_tb45_no_l_d65100_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 65200 | sat | 102.8 | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr300000000_tb45_no_l_d65200_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 65250 | sat | 75.45 | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr300000000_tb45_no_l_d65250_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 65500 | sat | 39.15 | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr300000000_tb45_no_l_d65500_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 65750 | sat | 78.42 | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr300000000_tb45_no_l_d65750_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 65900 | sat | 33.61 | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr300000000_tb45_no_l_d65900_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 66000 | sat | 96.91 | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr300000000_tb45_no_l_d66000_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 67000 | sat | 56.04 | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr300000000_tb45_no_l_d67000_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 68000 | sat | 65.88 | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr300000000_tb45_no_l_d68000_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 69000 | sat | 40.79 | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr300000000_tb45_no_l_d69000_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 70000 | sat | 51.82 | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr300000000_tb45_no_l_d70000_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 72000 | sat | 49.1 | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr300000000_tb45_no_l_d72000_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 73000 | sat | 26.86 | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr300000000_tb45_no_l_d73000_tc_48_16_n_rounds_by1_t_task_num_v | the minimum SAT deadline is: 65100 ### pagerank_C48_T128_rec400000000 | Application | Cores | Deadline | Outcome | Verification Time | id | |-------|:-------:|:------:|:--------:|:--------:|:------:| | pagerank | 48 | 85000 | timeout | None | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr400000000_tb45_no_l_d85000_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 86000 | sat | 278.68 | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr400000000_tb45_no_l_d86000_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 87000 | sat | 55.3 | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr400000000_tb45_no_l_d87000_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 88000 | sat | 55.59 | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr400000000_tb45_no_l_d88000_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 89000 | sat | 42.06 | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr400000000_tb45_no_l_d89000_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 90000 | sat | 51.77 | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr400000000_tb45_no_l_d90000_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 91000 | sat | 45.12 | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr400000000_tb45_no_l_d91000_tc_48_16_n_rounds_by1_t_task_num_v | | pagerank | 48 | 92000 | sat | 38.55 | exp_n4_c48_p128_SPARKSEQ_3_rounds_c48_t128_nr400000000_tb45_no_l_d92000_tc_48_16_n_rounds_by1_t_task_num_v | the minimum SAT deadline is: 86000 </code></pre> <p> </p> <pre><code class="language-markdown">## K-Means Experiments ### kmeans_C24_T18_rec80000000 | Application | Cores | Deadline |Time Bound | Outcome | Verification Time | id | |-------|:-------:|:------:|:--------:|:--------:|:------:|:------:| | kmeans | 24 | 79000 | 50 | sat | 61854.62 | kmeans_exp_n2_c24_p24_SPARK_FSEQ_4_rounds_c24_t18_nr80000000_tb50_no_l_d79000_tc_24_6_n_rounds_by1_t_task_num_v | | kmeans | 24 | 79500 | 50 | sat | 18414.51 | kmeans_exp_n2_c24_p24_SPARK_FSEQ_4_rounds_c24_t18_nr80000000_tb50_no_l_d79500_tc_24_6_n_rounds_by1_t_task_num_v | | kmeans | 24 | 80000 | 50 | sat | 14840.75 | kmeans_exp_n2_c24_p24_SPARK_FSEQ_4_rounds_c24_t18_nr80000000_tb50_no_l_d80000_tc_24_6_n_rounds_by1_t_task_num_v | | kmeans | 24 | 85000 | 50 | err/timeout | None | kmeans_exp_n2_c24_p24_SPARK_FSEQ_4_rounds_c24_t18_nr80000000_tb50_no_l_d85000_tc_24_6_n_rounds_by1_t_task_num_v | | kmeans | 24 | 90000 | 50 | sat | 14590.33 | kmeans_exp_n2_c24_p24_SPARK_FSEQ_4_rounds_c24_t18_nr80000000_tb50_no_l_d90000_tc_24_6_n_rounds_by1_t_task_num_v | | kmeans | 24 | 100000 | 50 | err/timeout | None | kmeans_exp_n2_c24_p24_SPARK_FSEQ_4_rounds_c24_t18_nr80000000_tb50_no_l_d100000_tc_24_6_n_rounds_by1_t_task_num_v | the minimum SAT deadline is: 79000 ### kmeans_C24_T18_rec120000000 | Application | Cores | Deadline |Time Bound | Outcome | Verification Time | id | |-------|:-------:|:------:|:--------:|:--------:|:------:|:------:| | kmeans | 24 | 105000 | 50 | sat | 152363.81 | kmeans_exp_n2_c24_p24_SPARK_FSEQ_4_rounds_c24_t18_nr120000000_tb50_no_l_d105000_tc_24_6_n_rounds_by1_t_task_num_v | | kmeans | 24 | 105000 | 80 | err/timeout | None | kmeans_exp_n2_c24_p24_SPARK_FSEQ_4_rounds_c24_t18_nr120000000_tb80_no_l_d105000_tc_24_6_n_rounds_by1_t_task_num_v | | kmeans | 24 | 106000 | 50 | sat | 43759.32 | kmeans_exp_n2_c24_p24_SPARK_FSEQ_4_rounds_c24_t18_nr120000000_tb50_no_l_d106000_tc_24_6_n_rounds_by1_t_task_num_v | | kmeans | 24 | 106500 | 50 | sat | 22230.43 | kmeans_exp_n2_c24_p24_SPARK_FSEQ_4_rounds_c24_t18_nr120000000_tb50_no_l_d106500_tc_24_6_n_rounds_by1_t_task_num_v | | kmeans | 24 | 107000 | 50 | sat | 25027.5 | kmeans_exp_n2_c24_p24_SPARK_FSEQ_4_rounds_c24_t18_nr120000000_tb50_no_l_d107000_tc_24_6_n_rounds_by1_t_task_num_v | | kmeans | 24 | 108000 | 50 | err/timeout | None | kmeans_exp_n2_c24_p24_SPARK_FSEQ_4_rounds_c24_t18_nr120000000_tb50_no_l_d108000_tc_24_6_n_rounds_by1_t_task_num_v | | kmeans | 24 | 110000 | 50 | sat | 40917.73 | kmeans_exp_n2_c24_p24_SPARK_FSEQ_4_rounds_c24_t18_nr120000000_tb50_no_l_d110000_tc_24_6_n_rounds_by1_t_task_num_v | | kmeans | 24 | 110000 | 80 | err/timeout | None | kmeans_exp_n2_c24_p24_SPARK_FSEQ_4_rounds_c24_t18_nr120000000_tb80_no_l_d110000_tc_24_6_n_rounds_by1_t_task_num_v | | kmeans | 24 | 115000 | 50 | sat | 12142.65 | kmeans_exp_n2_c24_p24_SPARK_FSEQ_4_rounds_c24_t18_nr120000000_tb50_no_l_d115000_tc_24_6_n_rounds_by1_t_task_num_v | | kmeans | 24 | 115000 | 80 | err/timeout | None | kmeans_exp_n2_c24_p24_SPARK_FSEQ_4_rounds_c24_t18_nr120000000_tb80_no_l_d115000_tc_24_6_n_rounds_by1_t_task_num_v | | kmeans | 24 | 120000 | 50 | err/timeout | None | kmeans_exp_n2_c24_p24_SPARK_FSEQ_4_rounds_c24_t18_nr120000000_tb50_no_l_d120000_tc_24_6_n_rounds_by1_t_task_num_v | | kmeans | 24 | 120000 | 80 | err/timeout | None | kmeans_exp_n2_c24_p24_SPARK_FSEQ_4_rounds_c24_t18_nr120000000_tb80_no_l_d120000_tc_24_6_n_rounds_by1_t_task_num_v | | kmeans | 24 | 150000 | 50 | sat | 14259.95 | kmeans_exp_n2_c24_p24_SPARK_FSEQ_4_rounds_c24_t18_nr120000000_tb50_no_l_d150000_tc_24_6_n_rounds_by1_t_task_num_v | | kmeans | 24 | 150000 | 60 | err/timeout | None | kmeans_exp_n2_c24_p24_SPARK_FSEQ_4_rounds_c24_t18_nr120000000_tb60_no_l_d150000_tc_24_6_n_rounds_by1_t_task_num_v | | kmeans | 24 | 150000 | 70 | err/timeout | None | kmeans_exp_n2_c24_p24_SPARK_FSEQ_4_rounds_c24_t18_nr120000000_tb70_no_l_d150000_tc_24_6_n_rounds_by1_t_task_num_v | | kmeans | 24 | 150000 | 80 | sat | 14189.62 | kmeans_exp_n2_c24_p24_SPARK_FSEQ_4_rounds_c24_t18_nr120000000_tb80_no_l_d150000_tc_24_6_n_rounds_by1_t_task_num_v | | kmeans | 24 | 150000 | 90 | err/timeout | None | kmeans_exp_n2_c24_p24_SPARK_FSEQ_4_rounds_c24_t18_nr120000000_tb90_no_l_d150000_tc_24_6_n_rounds_by1_t_task_num_v | the minimum SAT deadline is: 105000 ### kmeans_C24_T18_rec160000000 | Application | Cores | Deadline |Time Bound | Outcome | Verification Time | id | |-------|:-------:|:------:|:--------:|:--------:|:------:|:------:| | kmeans | 24 | 140000 | 50 | sat | 40930.77 | kmeans_exp_n2_c24_p24_SPARK_FSEQ_4_rounds_c24_t18_nr160000000_tb50_no_l_d140000_tc_24_6_n_rounds_by1_t_task_num_v | | kmeans | 24 | 140000 | 80 | err/timeout | None | kmeans_exp_n2_c24_p24_SPARK_FSEQ_4_rounds_c24_t18_nr160000000_tb80_no_l_d140000_tc_24_6_n_rounds_by1_t_task_num_v | | kmeans | 24 | 150000 | 50 | sat | 21741.22 | kmeans_exp_n2_c24_p24_SPARK_FSEQ_4_rounds_c24_t18_nr160000000_tb50_no_l_d150000_tc_24_6_n_rounds_by1_t_task_num_v | | kmeans | 24 | 150000 | 80 | err/timeout | None | kmeans_exp_n2_c24_p24_SPARK_FSEQ_4_rounds_c24_t18_nr160000000_tb80_no_l_d150000_tc_24_6_n_rounds_by1_t_task_num_v | the minimum SAT deadline is: 140000 ### kmeans_C32_T24_rec80000000 | Application | Cores | Deadline |Time Bound | Outcome | Verification Time | id | |-------|:-------:|:------:|:--------:|:--------:|:------:|:------:| | kmeans | 32 | 63000 | 80 | sat | 26400.12 | kmeans_exp_n2_c32_p32_SPARKSEQ_4_rounds_c32_t24_nr80000000_tb80_no_l_d63000_tc_32_8_n_rounds_by1_t_task_num_v | | kmeans | 32 | 65000 | 80 | sat | 10414.91 | kmeans_exp_n2_c32_p32_SPARKSEQ_4_rounds_c32_t24_nr80000000_tb80_no_l_d65000_tc_32_8_n_rounds_by1_t_task_num_v | | kmeans | 32 | 70000 | 80 | sat | 5554.03 | kmeans_exp_n2_c32_p32_SPARKSEQ_4_rounds_c32_t24_nr80000000_tb80_no_l_d70000_tc_32_8_n_rounds_by1_t_task_num_v | the minimum SAT deadline is: 63000 ### kmeans_C32_T24_rec120000000 | Application | Cores | Deadline |Time Bound | Outcome | Verification Time | id | |-------|:-------:|:------:|:--------:|:--------:|:------:|:------:| | kmeans | 32 | 82000 | 60 | sat | 2692.91 | kmeans_exp_n2_c32_p32_SPARKSEQ_4_rounds_c32_t24_nr120000000_tb60_no_l_d82000_tc_32_8_n_rounds_by1_t_task_num_v | | kmeans | 32 | 82000 | 100 | running | None | kmeans_exp_n2_c32_p32_SPARKSEQ_4_rounds_c32_t24_nr120000000_tb100_no_l_d82000_tc_32_8_n_rounds_by1_t_task_num_v | | kmeans | 32 | 83000 | 60 | err/timeout | None | kmeans_exp_n2_c32_p32_SPARKSEQ_4_rounds_c32_t24_nr120000000_tb60_no_l_d83000_tc_32_8_n_rounds_by1_t_task_num_v | | kmeans | 32 | 83000 | 100 | err/timeout | None | kmeans_exp_n2_c32_p32_SPARKSEQ_4_rounds_c32_t24_nr120000000_tb100_no_l_d83000_tc_32_8_n_rounds_by1_t_task_num_v | | kmeans | 32 | 90000 | 60 | err/timeout | None | kmeans_exp_n2_c32_p32_SPARKSEQ_4_rounds_c32_t24_nr120000000_tb60_no_l_d90000_tc_32_8_n_rounds_by1_t_task_num_v | | kmeans | 32 | 90000 | 100 | sat | 60535.12 | kmeans_exp_n2_c32_p32_SPARKSEQ_4_rounds_c32_t24_nr120000000_tb100_no_l_d90000_tc_32_8_n_rounds_by1_t_task_num_v | | kmeans | 32 | 150000 | 50 | err/timeout | None | kmeans_exp_n2_c32_p32_SPARKSEQ_4_rounds_c32_t24_nr120000000_tb50_no_l_d150000_tc_32_8_n_rounds_by1_t_task_num_v | | kmeans | 32 | 150000 | 60 | sat | 1240.52 | kmeans_exp_n2_c32_p32_SPARKSEQ_4_rounds_c32_t24_nr120000000_tb60_no_l_d150000_tc_32_8_n_rounds_by1_t_task_num_v | | kmeans | 32 | 150000 | 70 | err/timeout | None | kmeans_exp_n2_c32_p32_SPARKSEQ_4_rounds_c32_t24_nr120000000_tb70_no_l_d150000_tc_32_8_n_rounds_by1_t_task_num_v | | kmeans | 32 | 150000 | 80 | err/timeout | None | kmeans_exp_n2_c32_p32_SPARKSEQ_4_rounds_c32_t24_nr120000000_tb80_no_l_d150000_tc_32_8_n_rounds_by1_t_task_num_v | | kmeans | 32 | 150000 | 90 | err/timeout | None | kmeans_exp_n2_c32_p32_SPARKSEQ_4_rounds_c32_t24_nr120000000_tb90_no_l_d150000_tc_32_8_n_rounds_by1_t_task_num_v | | kmeans | 32 | 150000 | 100 | sat | 1957.42 | kmeans_exp_n2_c32_p32_SPARKSEQ_4_rounds_c32_t24_nr120000000_tb100_no_l_d150000_tc_32_8_n_rounds_by1_t_task_num_v | the minimum SAT deadline is: 82000 ### kmeans_C32_T24_rec160000000 | Application | Cores | Deadline |Time Bound | Outcome | Verification Time | id | |-------|:-------:|:------:|:--------:|:--------:|:------:|:------:| | kmeans | 32 | 103000 | 50 | sat | 47624.75 | kmeans_exp_n2_c32_p32_SPARKSEQ_4_rounds_c32_t24_nr160000000_tb50_no_l_d103000_tc_32_8_n_rounds_by1_t_task_num_v | | kmeans | 32 | 103000 | 80 | err/timeout | None | kmeans_exp_n2_c32_p32_SPARKSEQ_4_rounds_c32_t24_nr160000000_tb80_no_l_d103000_tc_32_8_n_rounds_by1_t_task_num_v | | kmeans | 32 | 105000 | 50 | sat | 38614.93 | kmeans_exp_n2_c32_p32_SPARKSEQ_4_rounds_c32_t24_nr160000000_tb50_no_l_d105000_tc_32_8_n_rounds_by1_t_task_num_v | | kmeans | 32 | 105000 | 80 | err/timeout | None | kmeans_exp_n2_c32_p32_SPARKSEQ_4_rounds_c32_t24_nr160000000_tb80_no_l_d105000_tc_32_8_n_rounds_by1_t_task_num_v | | kmeans | 32 | 110000 | 50 | sat | 11604.73 | kmeans_exp_n2_c32_p32_SPARKSEQ_4_rounds_c32_t24_nr160000000_tb50_no_l_d110000_tc_32_8_n_rounds_by1_t_task_num_v | | kmeans | 32 | 120000 | 50 | sat | 11559.37 | kmeans_exp_n2_c32_p32_SPARKSEQ_4_rounds_c32_t24_nr160000000_tb50_no_l_d120000_tc_32_8_n_rounds_by1_t_task_num_v | | kmeans | 32 | 120000 | 80 | sat | 27413.19 | kmeans_exp_n2_c32_p32_SPARKSEQ_4_rounds_c32_t24_nr160000000_tb80_no_l_d120000_tc_32_8_n_rounds_by1_t_task_num_v | | kmeans | 32 | 200000 | 50 | sat | 1811.52 | kmeans_exp_n2_c32_p32_SPARKSEQ_4_rounds_c32_t24_nr160000000_tb50_no_l_d200000_tc_32_8_n_rounds_by1_t_task_num_v | | kmeans | 32 | 200000 | 60 | err/timeout | None | kmeans_exp_n2_c32_p32_SPARKSEQ_4_rounds_c32_t24_nr160000000_tb60_no_l_d200000_tc_32_8_n_rounds_by1_t_task_num_v | | kmeans | 32 | 200000 | 70 | sat | 2423.68 | kmeans_exp_n2_c32_p32_SPARKSEQ_4_rounds_c32_t24_nr160000000_tb70_no_l_d200000_tc_32_8_n_rounds_by1_t_task_num_v | | kmeans | 32 | 200000 | 80 | sat | 952.42 | kmeans_exp_n2_c32_p32_SPARKSEQ_4_rounds_c32_t24_nr160000000_tb80_no_l_d200000_tc_32_8_n_rounds_by1_t_task_num_v | | kmeans | 32 | 200000 | 90 | sat | 1300.52 | kmeans_exp_n2_c32_p32_SPARKSEQ_4_rounds_c32_t24_nr160000000_tb90_no_l_d200000_tc_32_8_n_rounds_by1_t_task_num_v | | kmeans | 32 | 200000 | 100 | err/timeout | None | kmeans_exp_n2_c32_p32_SPARKSEQ_4_rounds_c32_t24_nr160000000_tb100_no_l_d200000_tc_32_8_n_rounds_by1_t_task_num_v | the minimum SAT deadline is: 103000 </code></pre> <p> </p>
Experimental data used in the manuscript (Jagiella et al., Cell Systems, 4(2), 2017)
<p>This folder contains raw and processed data used in the manuscript:</p> <p>Jagiella, N. and Rickert, D. and Theis, F. J. and Hasenauer, J. (2017). Parallelization and High-Performance Computing Enables Automated Statistical Inference of Multi-scale Models. Cell Systems, 4(2):194-206.</p>
Experimental data from the PhD thesis "Counterexample-guided Cartesian Abstraction Refinement and Saturated Cost Partitioning for Optimal Classical Planning"
<p>The three data sets contain the raw experiment data, parsed values and basic reports for the three parts of the thesis. For each experiment there are two directories. The first directory contains the raw data of all experiment runs. The code directories and benchmark files have been removed to avoid duplication and save space. The second directory (*-eval) contains "properties" file with all parsed values and an HTML report.</p>
Experimental data - project: adaptive strategy on part-list cueing and ego-depletion
<p>Experimental data of two experiments on adaptive strategy and its relation to recall performance and task persistence.</p>
Raw Experimental Data for work presented in 'Precise Localization of Multiple Noncooperative Objects in a Disordered Cavity by Wave Front Shaping'
<p>This is the raw experimental data for the work presented in 'Precise Localization of Multiple Noncooperative Objects in a Disordered Cavity by Wave Front Shaping', to be published in Physical Review Letters.</p> <p> </p> <p>https://journals.aps.org/prl/accepted/b307fY31A5a13c5579fc4252303f8b2e5e024fc00</p> <p> </p> <p>See the README file for an explanation of the data.</p> <p> </p> <p> </p>
Raw Experimental Data for work presented in 'Leveraging Chaos for Wave-Based Analog Computation: Demonstration with Indoor Wireless Communication Signals'
<p>This is the raw experimental data for the work presented in 'Leveraging Chaos for Wave-Based Analog Computation: Demonstration with Indoor Wireless Communication Signals', to be published in Physical Review X.</p> <p> </p> <p>https://journals.aps.org/prx/accepted/dc07aKdcFa91ea06d2949139dac733fa62ce1c02c</p> <p> </p> <p>See the README files and sample pieces of codes for an explanation of the data.</p>
Raw data corresponding to Huestegge, S. M., Raettig, T., & Huestegge, L. (2019). "Are face-incongruent voices harder to process? Effects of face-voice gender incongruency on basic cognitive information processing." Journal: Experimental Psychology.
<p>Raw data file prior to subject-based aggregation. Variables and values are decribed within the file. For further reference and specifications please also refer to the original publication in the journal Experimental Psychology.</p>
Raw Experimental Data for work presented in 'Optimally diverse communication channels in disordered environments with tuned randomness'
<p>This is the raw experimental data for the work presented in 'Optimally diverse communication channels in disordered environments with tuned randomness', published in Nature Electronics.</p> <p> </p> <p><a href="https://doi.org/10.1038/s41928-018-0190-1">https://doi.org/10.1038/s41928-018-0190-1</a> </p> <p> </p> <p>See the README file for an explanation of the data.</p>
Experimental data of Large Effects of Particle Size Heterogeneity and Measurement Method on Dynamic Saltation Threshold
<p>There are the experimental data we conducted in a wind tunnel in Lanzhou University. And we present the original data about wind velocitys <em><strong>U</strong></em> [m/s] and corresponding measuring locations <em><strong>H</strong></em> above the sand bed [cm] with different sand size distribution here.</p>
Experimental data of an article on the impact of coarse-grain protrusion on near-bed hydrodynamics
<p>This deposit contains experimental data related to the article entitled " impact of coarse-grain protrusion on near-bed hydrodynamics" that will be publised in Journal of Geophysical Research - Earth surface. It consists in post-processed data (turbulence statistics) for flows around hemispheres protruding from a bed of fine sediments. Calculated statistics (time-averaged and double-averaged) are provided along other inferred quantities (friction velocity, etc...) and experimental parameters (protrusion level, discharge, etc..) in matlab metadata format. Matlab functions are given to plot all the figures of the article.</p>
Experimental runs data
<p>Pressure-temperture-time and Raman spectra data (txt files) of the experimental runs shown in the manuscript</p>
Experimental data and benchmarks used in the paper "Theoretical Foundations for Structural Symmetries of Lifted PDDL Tasks"
<p>This dataset contains both benchmarks and data used in the paper.</p> <p>PDDL benchmark files can be found in the files benchmarks.tar.gz and<br> bagged-benchmarks.tar.gz. The former contains all domains from all IPCs from the<br> repository https://bitbucket.org/aibasel/downward-benchmarks, without duplicate<br> domains that have been used in multiple IPCs. The latter contains the subset of<br> these tasks for which the reformulation in the "bagged representation" from the<br> following paper succeeded:</p> <p>Riddle, P.; Douglas, J.; Barley, M.; and Franco, S. 2016. Improving<br> performance by reformulating PDDL into a bagged representation.<br> In ICAPS 2016 Workshop on Heuristics and Search for Domain-<br> independent Planning, 28–36.</p> <p>We obtained the implementation of the baggy reformluation from the authors.</p> <p>All other files in this dataset contain raw and processed data of all<br> experiments, which were generated using Downward-Lab (see<br> https://doi.org/10.5281/zenodo.399255). The scripts used to run the experiments<br> can be found in the software bundle for this paper (see<br> https://doi.org/10.5281/zenodo.2621897).</p> <p>Directories without the "-eval" ending contain raw data, distributed over a<br> subdirectory for each experiment. Each of these contain a subdirectory tree<br> structure "runs-*" where each planner run has its own directory. For each run,<br> there are symbolic links to the input PDDL files domain.pddl and problem.pddl<br> (can be resolved by putting the benchmarks directory to the right place), the<br> run log file "run.log" (stdout), possibly also a run error file "run.err"<br> (stderr), the run script "run" used to start the experiment, and a "properties"<br> file that contains data parsed from the log file(s). Some directories (not for<br> the ground experiments, where these files got too large) also contain a file<br> generators.py that contain all symmetry group generators in permutation<br> notation.</p> <p>Directories with the "-eval" ending contain a "properties" file, which contains<br> a JSON directory with combined data of all runs of the corresponding<br> experiment. In essence, the properties file is the union over all properties<br> files generated for each individual planner run.</p>
Building Brain Invaders: EEG data of an experimental validation
<p><strong>Summary:</strong></p> <p>This dataset contains electroencephalographic (EEG) recordings of 25 subjects testing the <em>Brain Invaders </em>(Congedo, 2011), a visual P300 Brain-Computer Interface inspired by the famous vintage video game <em>Space Invaders</em> (Taito, Tokyo, Japan). The visual P300 is an event-related potential elicited by a visual stimulation, peaking 240-600 ms after stimulus onset. EEG data were recorded by 16 electrodes in an experiment that took place in the GIPSA-lab, Grenoble, France, in 2012 (Van Veen, 2013 and Congedo, 2013). A full description of the experiment is available <a href="https://hal.archives-ouvertes.fr/hal-02126068">https://hal.archives-ouvertes.fr/hal-02126068</a>. Python code for manipulating the data is available at <a href="https://github.com/plcrodrigues/py.BI.EEG.2012-GIPSA">https://github.com/plcrodrigues/py.BI.EEG.2012-GIPSA</a>. The ID of this dataset is <em>BI.EEG.2012-GIPSA</em>.</p> <p> </p> <p><strong>Full description of the experiment and dataset: </strong><a href="https://hal.archives-ouvertes.fr/hal-02126068">https://hal.archives-ouvertes.fr/hal-02126068</a></p> <p> </p> <p><strong><em>Principal Investigator</em>:</strong> B.Sc. Gijsbrecht Franciscus Petrus van Veen</p> <p> </p> <p><strong><em>Technical Supervisors</em>: </strong>Ph.D. Alexandre Barachant, Eng. Anton Andreev, Eng. Grégoire Cattan, Eng. Pedro. L. C. Rodrigues</p> <p> </p> <p><strong><em>Scientific Supervisor:</em></strong> Ph.D. Marco Congedo</p> <p> </p> <p><strong>ID of the dataset: </strong><em>BI.EEG.2012-GIPSA</em></p>
Experimental data of the paper "Counterexample-Guided Abstraction Refinement for Pattern Selection in Optimal Classical Planning"
<p>This dataset contains experimental data used in the paper. They were generated<br> using Downward-Lab (see https://doi.org/10.5281/zenodo.399255). The scripts<br> used to run the experiments can be found in the software bundle for this paper<br> (see https://doi.org/10.5281/zenodo.2628703).</p> <p>Directories without the "-eval" ending contain raw data, distributed over a<br> subdirectory for each experiment. Each of these contain a subdirectory tree<br> structure "runs-*" where each planner run has its own directory. For each run,<br> there are symbolic links to the input PDDL files domain.pddl and problem.pddl<br> (can be resolved by putting the benchmarks directory to the right place), the<br> run log file "run.log" (stdout), possibly also a run error file "run.err"<br> (stderr), the run script "run" used to start the experiment, and a "properties"<br> file that contains data parsed from the log file(s).</p> <p>Directories with the "-eval" ending contain a "properties" file, which contains<br> a JSON directory with combined data of all runs of the corresponding<br> experiment. In essence, the properties file is the union over all properties<br> files generated for each individual planner run.</p>
ScienceDex guides
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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.