Ram, Karthik. "Case Study 17: Reproducible Workflows for Understanding Large-Scale Ecological Effects of Climate Change".
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. 227-232.
https://doi.org/10.1525/9780520967779-026Ram, K. (2017). Case Study 17: Reproducible Workflows for Understanding Large-Scale Ecological Effects of Climate Change. In J. Kitzes (Ed.),
The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences (pp. 227-232). Berkeley: University of California Press.
https://doi.org/10.1525/9780520967779-026Ram, K. 2017. Case Study 17: Reproducible Workflows for Understanding Large-Scale Ecological Effects of Climate Change. In: Kitzes, J. ed.
The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences. Berkeley: University of California Press, pp. 227-232.
https://doi.org/10.1525/9780520967779-026Ram, Karthik. "Case Study 17: Reproducible Workflows for Understanding Large-Scale Ecological Effects of Climate Change" In
The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences edited by Justin Kitzes, 227-232. Berkeley: University of California Press, 2017.
https://doi.org/10.1525/9780520967779-026Ram K. Case Study 17: Reproducible Workflows for Understanding Large-Scale Ecological Effects of Climate Change. 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.227-232.
https://doi.org/10.1525/9780520967779-026Copied to clipboard
