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7 results for “covering array”
Classification of small strength-2 covering arrays
<p>The files contain strength-2 covering arrays classified in the study "J. I. Kokkala, K. Meagher, R. Naserasr, K. J. Nurmela, P. R. J. Östergård, B. Stevens, On the Structure of Small Strength-2 Covering Arrays".</p> <p>Each line in a file corresponds to a <span class="math-tex">\(\mathrm{CA}(N;2,k,v)\)</span>, rows of the covering array are separated by space. The file name format is <em>ca_N_2_k_v.txt</em> if all covering arrays were classified. Whenever only uniform covering arrays are classified, the file name is <em>uca_N_2_k_v.txt</em>. An additional suffix <em>_delta_δ</em> in the file name implies that only covering arrays with that <span class="math-tex">\(\delta\)</span> parameter (see the publication) were classified. In some cases, the number of inequivalent covering arrays was too large for the arrays to be stored; those cases are omitted here.</p>
Online appendix to State of the CArt: Evaluating Covering Array generators at scale
<p>This dataset includes the input models, figures, and resulting output of all CA generation tools evaluated in the context of the article "State of the CArt: Evaluating Covering Array generators at scale".</p><p>The file `models.tar.gz` includes the 295 input parameter models in four different dialects (ACTS, CTWedge/pMEDICI, PICT, and CASA).</p><p>The file `figures.zip` contains the underlying data of the figures included in the article and the resulting figures (as well as a number of additional visualizations that were not used in the published work).</p><p>The files beginning with `evaluation` contain the output, timing, and error messages produced by each of the competing tools, in one folder per strength (named after a timestamp in ascending order of strength).<br>In each of these folders, files conform to the following syntax:[toolname]_[model_filename]_[strength]_[iteration].[suffix]<br>where "toolname" is identical to the current folder,<br>"model_filename" is the exact name of the model file (including suffix),<br>"strength" is the combinatorial strength of the resulting CA (between 2 and 5),<br>"iteration" takes values between 1 and 3 and refers to the round of execution (at lower strengths, tools were tested using 3 iterations; at higher strengths, some tools required too much execution time and were only run once),<br>"suffix" is one of the following: "time" for the output of GNU time in verbose mode; "out" for the resulting CA (in headerless CSV form); "err" for the standard output (usually empty). Note that additional intermediate files may exist for some tools (e.g. when their original output is not strictly a headerless CSV).</p><p>All tools were executed in Docker containers based on the official OpenJDK image, which is itself based on Debian Buster (Docker identifier: openjdk:14-buster). The experiments were performed on a machine using a Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz (16 physical cores, 32 logical cores) with 256 GB RAM.</p><p>CASAConverterCLI.jar is a standalone Java program that converts CTWedge models to CASA models. It accepts the path to a CTWedge model and the strength as its parameters.</p><p>ct-eval-framework.tar.bz2 contains the evaluation framework itself. It can be used to replicate our results and evaluate your own CA generator. Setup instructions are provided in the README.md file wihtin the archive.</p><p>wca-gcc-11-fix.patch is a patch that enables the compilation of WCA under newer versions of GCC.</p>
Magnetotelluric array covering the Xuefengshan-Jiuling belt, South China
<p>The MT data files in EDI format belonging to the array covering the Xuefengshan-Jiuling belt, South China</p>
Incremental Covering Array Generation
Open the record for dataset details and reuse information.
Incremental Covering Array Generation
Open the record for dataset details and reuse information.
Incremental Covering Array Generation
Open the record for dataset details and reuse information.
Magnetotelluric array covering the central segment of the Jiangnan orogenic belt
<p>The MT data files in EDI format belonging to the array covering the central segment of the JNO</p>
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Allen Brain Atlas
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International Brain Laboratory public data
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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.