Deniz, Fatma. "Case Study 23: pyMooney: Generating a Database of Two-Tone Mooney Images".
The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences, edited by Justin Kitzes, Berkeley: University of California Press, 2017, pp. 271-276.
https://doi.org/10.1525/9780520967779-032Deniz, F. (2017). Case Study 23: pyMooney: Generating a Database of Two-Tone Mooney Images. In J. Kitzes (Ed.),
The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences (pp. 271-276). Berkeley: University of California Press.
https://doi.org/10.1525/9780520967779-032Deniz, F. 2017. Case Study 23: pyMooney: Generating a Database of Two-Tone Mooney Images. In: Kitzes, J. ed.
The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences. Berkeley: University of California Press, pp. 271-276.
https://doi.org/10.1525/9780520967779-032Deniz, Fatma. "Case Study 23: pyMooney: Generating a Database of Two-Tone Mooney Images" In
The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences edited by Justin Kitzes, 271-276. Berkeley: University of California Press, 2017.
https://doi.org/10.1525/9780520967779-032Deniz F. Case Study 23: pyMooney: Generating a Database of Two-Tone Mooney Images. In: Kitzes J (ed.)
The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences. Berkeley: University of California Press; 2017. p.271-276.
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