briandfoy/test-data: Test-Data-1.246
brian d foy, Andy Lester · Zenodo (CERN European Organization for Nuclear Research) · 2024
1.246 2024-03-09T01:42:16Z * fix dualvar_ok so it actaully exports (#12) from jwrightecs
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About 10,000 papers for “Test data”
brian d foy, Andy Lester · Zenodo (CERN European Organization for Nuclear Research) · 2024
1.246 2024-03-09T01:42:16Z * fix dualvar_ok so it actaully exports (#12) from jwrightecs
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brian d foy, Andy Lester · Zenodo (CERN European Organization for Nuclear Research) · 2024
1.245 2024-01-29T18:56:07Z * refresh distro, update email address
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Yoo, S, Harman, M · 2008
Existing automated test data generation techniques tend to start from scratch, implicitly assuming no pre-existing test data are available. However, this assumption may not always hold, and where it does not, there may be a missed opportunity; perhaps the pre-existing test cases could be used to assist the automated generation of additional test cases. This paper introduces search-based test data augmentation, a technique that can generate additional test data from existing test data using a meta-heuristic search algorithm. The proposed technique is compared to a widely studied test data generation approach in terms of both efficiency and effectiveness. The empirical evaluation shows that test data augmentation can be up to two orders of magnitude more efficient than existing test data generation techniques, while achieving comparable effectiveness in terms of structural coverage and mutation score. 1.
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Deng, Xiaoyang · Figshare · 2024
data
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Zhuang, Jianqi · Figshare · 2025
The content of bound water on the surface of loess particles has a significant impact on the physical and engineering properties of loess, directly affecting its strength characteristics. This is crucial for slope engineering and geological disaster prevention in loess region. The formation and scale of bound water in loess are not only related to environmental temperature and pressure, but also closely related to particle size, salt cementation type, and mineral composition. In this study, we combined thermogravimetric analysis and Zeta potential testing to quantitatively and qualitatively analyze the physical characteristics of bound water in loess, and verified them using AFM experiments.
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Yandong Gong · Figshare · 2023
The scRNA-seq data(including gene expression matrix and cell annotation)
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Finstad, Anders · Figshare · 2020
Small test dataset to illustrate usage of and download from a repository in analytical workflows.<br>Contains results from HOBO temperaturelogger placed at 1 m depth in lake Nilsentjønna (74.35807, -20.16317 lat/long wgs84; https://www.geonames.org/10793760/nilsentjonna.html) aZacckenberg, North-East Greenland<br><br>
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Deng, Xiaoyang · Figshare · 2024
data
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Andrew Bennet · Figshare · 2014
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Alexander Woodward · Figshare · 2021
Test
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Alhamad, Rusul Khalid · Figshare · 2023
mechanical and chemical test data for nip-tic-sic coating on CS
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test · Zenodo (CERN European Organization for Nuclear Research) · 2020
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Sahadeo, Uddesh · Figshare · 2025
xcdunc cojnco condc
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Andrews Frimpong Adu · Figshare · 2026
Data for testing variable-length de Bruijn graph model using minimum unique substrings
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She · Zenodo (CERN European Organization for Nuclear Research) · 2025
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She · Zenodo (CERN European Organization for Nuclear Research) · 2025
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Carlos Marquez de la Plata · Zenodo (CERN European Organization for Nuclear Research) · 2023
test
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Lin Wang · Zenodo (CERN European Organization for Nuclear Research) · 2023
test data
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Rahman, Rahat Rizvi · Zenodo (CERN European Organization for Nuclear Research) · 2025
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Richards, Brittany · Open Science Framework · 2020
In class workshop of learning how to test run fake data. Instructions were provided by Professor Protzko on SPSS.
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