Dataset Open Access

Code in Ecology Journals

K. A. S. Mislan; Jeffrey M. Heer; Ethan P. White

This analysis assesses the way ecology journals handle code and software written for scientific research. The results of the analysis were used to create Figure 1 in Mislan et al. (2016).

Please cite the following paper if you use this data/code:

Mislan, K. A. S., J. M. Heer, and E.P. White. (2016) Elevating the status of code in ecology. Trends in Ecology and Evolution.

Acknowledgements: K.A.S. was supported by the Washington Research Foundation Fund for Innovation in Data-Intensive Discovery and the Moore/Sloan Data Science Environments Project at the University of Washington. This work was partially supported by the Gordon and Betty Moore Foundation's Data-Driven Discovery Initiative through grant GBMF4553 to J.M.H. and grant GBMF4563 to E.P.W.
Files (394.0 kB)
Name Size
394.0 kB Download
All versions This version
Views 141141
Downloads 99
Data volume 3.5 MB3.5 MB
Unique views 139139
Unique downloads 99


Cite as