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412 results for “Verification”
Formal Methods for NFA Equivalence: QBFs, Witness Extraction, and Encoding Verification
<p>Supplemental material to the paper.</p>
Reproduction Package for SAS 2022 Article 'Case Study on Verification-Witness Validators: Where We Are and Where We Go'
<p>This artifact is a reproduction package for the SAS 2022 article 'Case Study on Verification-Witness Validators: Where We Are and Where We Go'.</p> <p>It contains instructions, data, and scripts for reproducing our results, and the data and tables that we generated in our experiment.</p>
Raw data for the article "Combining STPA and BDD for Safety Analysis and Verification in Agile Development: A Controlled Experiment"
<p>These files include the raw data of pre-questionnaire, operation report, post-questionnaire and hypothesis testing in the experiment. </p>
CI/CD Efforts for Validation, Verification and Benchmarking OpenMP implementations
<p>Software developers must adapt to keep up with the changing capabilities of platforms so that they can utilize the power of High-Performance Computers (HPC), including exascale systems. The OpenMP, a directive-based parallel programming model, allows developers to include directives to existing C, C++, or Fortran code to allow node level parallelism without compromising performance. This paper describes our CI/CD efforts to provide easy evaluation of the support of OpenMP across different compilers using existing testsuites and benchmark suites on HPC platforms. Our main contributions include (1) the set of a Continuous Integration (CI) and Continuous Development (CD) workflow that captures bugs and provides faster feedback to compiler developers, (2) an evaluation of OpenMP (offloading) implementations supported by AMD, HPE, GNU, LLVM, and Intel, and (3) evaluation of the quality of compilers across different heterogeneous HPC platforms.<br>Through the comprehensive testing through the CI/CD workflow, we aim to provide a comprehensive understanding of the current state of OpenMP (offloading) support in different compilers and heterogeneous platforms consisting of CPUs and GPUs from NVIDIA, AMD and Intel.</p>
Fig. 1 in Verification of Natural Marking for Individual Identification Using a Duplex Marking Approach in Ijima's Sea Snakes, (Reptilia: Elapidae).
Fig. 1. Maps showing the location of Zamami Island and the study sites: (a) Urunusachi and (b) Ama.
Data and software from: Decomposition of skill scores for conditional verification – Impact of AMO phases on the predictability of decadal temperature forecasts
<p>Data and software from "Decomposition of skill scores for conditional verification – Impact of AMO phases on the predictability of decadal temperature forecasts"</p> <ul> <li>synthetic data and score computation routine</li> <li>data from MiKlip decadal prediction systems preop-dcpp-HR, preop-LR and observational HadCRUT4 data used for the conditional verification</li> <li>AMO calculation routine</li> <li>AMO data and phases defining the ocean state used in the conditional verification</li> </ul> <p>The computation routines from the conditional verification of decadal predcition systems is publicly available as the Freva plug-in "ProblEMS" at <a href="https://doi.org/10.5281/zenodo.10469658">https://doi.org/10.5281/zenodo.10469658</a></p> <p> </p>
Experimental verification of field-enhanced molecular vibrational scattering at single infrared antennas -- Dataset
<p>This is the nano-FTIR data set as shown in Figs 3 and 5 of our publication "Experimental verification of field-enhanced molecular vibrational scattering at single infrared antennas" by D. Virmani et al. This data set was acquired with a NeaSNOM microscopy (attocube AG) and can be opened with Gwyddion (https://gwyddion.net/). Please see the files "notes.txt" within the zip file provided for an identification of the individual data sets.</p> <p> </p> <p>nano-FTIR data is provided as interferogram files ending in "Interferograms.txt.txt" within the individual folders containing the string "NF S".<br>Row: not used<br>Column: not used<br>Run: number of interferogram acquisition<br>Depth: pixel number within one interferogram<br>M: not used<br>O0A: amplitude in V of the 0th demodulation order<br>O0P: phase in radians of the 0th demodulation order<br>O1A: amplitude in V of the 1st demodulation order<br>O1P: phase in radians of the 1st demodulation order<br>O2A: amplitude in V of the 2nd demodulation order<br>O2P: phase in radians of the 2nd demodulation order<br>O3A: amplitude in V of the 3rd demodulation order<br>O3P: phase in radians of the 3rd demodulation order<br>O4A: amplitude in V of the 4th demodulation order<br>O4P: phase in radians of the 4th demodulation order<br>O5A: amplitude in V of the 5th demodulation order<br>O5P: phase in radians of the 5th demodulation order</p> <p> </p> <p>Additionally, s-SNOM images for finding the antennas prior to nano-FTIR spectroscopy can be found in the folders containing the string "WL"</p> <p> </p> <p>For help on how to read or interpret these data please refer to the corresponding authors of the paper.</p>
Formal Verification of Storm Topologies through D-VerT
<p>This archive includes the research data associated to the paper:<br> Formal verification of storm topologies through D-VerT. In <em>Proceedings of the Symposium on Applied Computing</em> (SAC '17). Francesco Marconi, Marcello M. Bersani, and Matteo Rossi. 2017. ACM, New York, NY, USA, 1168-1174. DOI: https://doi.org/10.1145/3019612.3019769</p> <p>Specifically it includes the UML models shown in the paper (Figures 7 and 8), the corresponding instances of the Temporal logic models automatically generated by means of the D-VerT and the output files of the experiments.</p>
Example results for use-cases of DAVOS toolkit (dependability assessment, verification, optimisation and selection of hardware models)
<p>This dataset exemplifies the results that can be obtained for several basic experimentation scenarios by means of DAVOS toolkit, available under MIT licence at https://github.com/IlyaTuzov/DAVOS</p> <p>Particular experimentation scenarios are:</p> <p>- Dependability assessment (LEON3 processor core)<br> - Dependability benchmarking of implementation alternatives (MC8051 processor core)<br> - Dependability-aware design space exploration (when implementing PIC core by Xilinx ISE toolkit)</p> <p><br> <strong>Installation steps.</strong></p> <p>1. Ensure to have python ver. 2.x installed. Type in terminal (cmd console in Windows): “python --version” – if the output looks like > Python 2.x.x – python is installed. <br> Otherwise download and install 2.x.x distribution: https://www.python.org/<br> Add python installation path to environment path variable.</p> <p><br> 2. Ensure to have Web-Server installed (Apache preferable). For instance, XAMPP: https://www.apachefriends.org/index.html</p> <p> <br> 3. Ensure that Web-server is configured to execute CGI scripts, particularly python-scripts:<br> In the 'httpd.conf' file (XAMMP control panel – button config in front of apache module):<br> </p> <p>– search for line Options Indexes FollowSymLinks and add ExecCGI, so the resulting line looks like this: <br> Options Indexes FollowSymLinks ExecCGI<br> – search for #AddHandler cgi-script .cgi, uncomment (remove #), and append “.py” to this line, so the results looks like:<br> AddHandler cgi-script .cgi .pl .asp .py </p> <p>4. Unpack the contents of *.zip package into the folder on the Web Server. <br> For instance into 'Web-server root folder'/Dataset.<br> The Web-Server root can be configured in the ‘httpd.conf’ file in the DocumentRoot section, for instance: <br> DocumentRoot "F:/HTWEB"<br> <Directory "F:/HTWEB"><br> ...</p> <p>5. In the web-browser navigate to the root directory of extracted package:<br> http://localhost/Dataset/index.html<br> </p>
The School Leavers' Study Data Verification: A Cross Check for Typographical Errors, Omissions, and Dubious Word Interpretations
<p>This data set reflects a verification procedure to check for typographical errors, data omissions, and dubious word interpretations made by UK data curators. During the course of verification, the XML files contained in the UK Data Service repository were cross checked against the RTF files. In the course of verifying the documents, some changes were adopted to wording, as with essay 110, where the word "regretted" makes sense in the sentence as opposed to the suggested term "{regarted?}" noted in the XML file. Any changes during verification were performed by the close reading method, whereby contextual clues in the sentence guided the investigator to make a guess on the term intended by the original essay writer. When contexts were not sufficient to resolve meanings and spellings, original words and spellings were kept. Examples of former omissions within documents include essay number 148. The following statement was omitted from the XML file: "I retired not long ago after forty years with the same company. Life is very tedious now and I spend most of my time just sitting around thinking of the past." Essay 150 suffered the same problem: "life my first interview was nerve wracking.", exists in the RTF file, but was missing from the XML file. In cases where the RTF and XML files are in dispute over omissions, I have included the missing information from the RTF file into the data set. Place names have been edited so they read with standard British spellings. The data have been cleaned and standardized to American spellings, and this reflects the investigator's framework over the data. English turns of phrases were retained as much as possible. The investigator is aware that any transcription of historical data (e.g. be it from the curators' translations of writings on original printed pages to digital objects) includes adding personal perspective into the documents themselves. This is a limitation to the data cleaning process, and is here noted. Readers are invited to compare and contrast this verified data set with the original XML and RTF files.The second edition of the data deposited in the UK repository is cited as: </p> <p>Pahl, R.E. (2012). <em>School Leavers Study, 1978</em>. [data collection]. <em>2nd Edition. </em>UK Data Service. SN: 4867, <a href="http://doi.org/10.5255/UKDA-SN-4867-1">http://doi.org/10.5255/UKDA-SN-4867-1</a></p> <p>The original data are available under a Creative Commons-NonCommercial-ShareAlike 4.0 International license. The data may be accessed through the UK Data Service Qualibank.</p>
Cross-verification of the global gyrokinetic codes GENE and XGC
<p>Datasets for the gurokinetic benchmark (heat flux and log(T) gradient as function fo space and time) described in "Cross-verification of the global gyrokinetic codes GENE and XGC"</p> <p> </p>
this is verification of file upload in Zenodo
<p>this is update </p>
Reproduction Package for FM 2024 Article `Software Verification with CPAchecker 3.0: Tutorial and User Guide'
<p>This package allows you to check the claims of our FM 2024 tutorial paper<br><em>Software Verification with CPAchecker 3.0: Tutorial and User Guide</em>.</p> <p>See the <strong>README.html</strong> for more information.</p> <p>Abstract:<br><em>This tutorial provides an introduction to CPAchecker for users. CPAchecker is a flexible and configurable framework for software verification and testing. The framework provides many abstract domains, such as BDDs, explicit values, intervals, memory graphs, and predicates, and many program-analysis and model-checking algorithms, such as abstract interpretation, bounded model checking, Impact, interpolation-based model checking, k-induction, PDR, predicate abstraction, and symbolic execution. This tutorial presents basic use cases for CPAchecker in formal software verification, focusing on its main verification techniques with their strengths and weaknesses. An extended version also shows further use cases of CPAchecker for test-case generation and witness-based result validation. The envisioned readers are assumed to possess a background in automatic formal verification and program analysis, but prior knowledge of CPAchecker is not required. This tutorial and user guide is based on CPAchecker in version 3.0. This user guide’s latest version and other documentation are available at <a href="https://cpachecker.sosy-lab.org/doc.php">https://cpachecker.sosy-lab.org/doc.php</a>.</em></p> <p> </p>
Definition of the terms verification, validation, evaluation and benchmarking for use in the climate model context
<p>Schematic definition of the terms Verification, Validation, Evaluation and Benchmarking for use in the climate model context. Note that although through benchmarking some kind of ranking can be performed based on the chosen metric and selected observations, this is by far not a generally applicable ranking valid for all metrics, all realms and all possible observational references.</p>
ABI sequencing files for mouse Prex2 mutant sequence verification
<p>File HWZD44_3A_1-P0058.ab1 is an ABI sanger sequencing trace showing the presece of the mutation E22A in exon 1 of mouse Prex2,</p> <p>File 59_2h-P0060.ab1 is an ABI sanger sequencing trace showing the presece of the mutation N204A in exon 6 of mouse Prex2.</p>
Data and GrADS scripts needed to reproduce the figures in the article "Probabilistic forecasts of near-term climate change: verification for temperature and precipitation changes from years 1971-2000 to 2011-2020"
<p>Data and GrADS scripts needed to reproduce the figures in the article "Probabilistic forecasts of near-term climate change: verification for temperature and precipitation changes from years 1971-2000 to 2011-2020", submitted for publication in Climate Dynamics.</p> <p>Please see the file README for further details.</p> <p> </p>
[dataset] Automated Test-based Learning and Verification of PerformanceModels for Microservices Systems
<p>This repository contains the replication package of experiments presented in the research paper "Automated Test-based Learning and Verification of PerformanceModels for Microservices Systems" (M Camilli, A Janes, B Russo).</p>
Hypothetical ensemble dispersion model runs with statistical verification
<p>This dataset contains output from the dispersion model NAME (Numerical Atmospheric-dispersion Modelling Environment) generated by modelling the hypothetical eruption of two volcanoes (Hekla and Oraefajokull both in Iceland) and a radiological release from 12 different locations across Europe. The hypothetical eruption of Hekla is a 12km eruption lasting 24 hours and the hypothetical eruption of Oraefajokull is a 25km eruption lasting 24 hours. Each of the radiological releases is a 1PBq Cs-137 release over 6 hours. The scenarios were modelling using three different sets of met data from the Met Office unified model; data from the global deterministic forecast, data from the global ensemble forecast and data constructed to form a global analysis. </p> <p>Output from the runs is stored in gzipped tar files labelled <name>_scenario_<year><month>.tar.gz where <name> is hekla, orae (short for oraefajokull) or radiological. Each of these tarballs contains the output from all the runs with a release start date in the year and month given in the file name. The data is stored in NetCDF format with each NetCDF file containing the run output from a single run with one type of met data. For example the NetCDF file: 20181109T1200Z_engl_members.nc contains all the output from the run started at 12 UTC on 9 November 2018 using the ensemble global forecast met data. </p> <p>For the radiological scenario output is the total integrated air concentration and the total deposition after 48 hours. For the volcanic eruption scenarios output is the hourly air concentration of volcanic ash on 22 vertical levels, hourly ash column load and hourly ash deposits.</p> <p>Two additional files are included. These contain the Brier skill score computed by comparing the ensemble and deterministic output to the analysis output and the maximum distance at which threshold concentrations are exceeded. Full details of the computation can be found in a paper submitted to Atmospheric Chemistry and Physics.</p> <p>@Crown Copyright, Met Office</p>
Replication Package - Moderator Factors of Software Security and Performance Verification
<p>Replication package for the paper "Moderator Factors of Software Security and Performance Verification"</p>
SeisSol model setups for the verification of the poroelastic material model
<p>Model setup, simulation output and reference data to verify poroelastic material behaviour in SeisSol.</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)
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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.