Published December 14, 2023
| Version v1.0.2
Software
Open
Supplementary code and data from: Towards more reproducibility in vegetation research"
Authors/Creators
- 1. Karlsruhe Institute of Technology
Description
Data include an assessment of availability and accessibility of data and code for all the articles published in Journal of Vegetation Science and Applied Vegetation Science in the period 2013-2013.
Data consist of one csv file: editorialdata_2211.csv. A detailed description is provided in the README file.
Code consists of one R script to reproduce the main stats in the article and figure 1: editorial_stats_and_plots.R:
Files
mgsperandii/editorialJVS-v1.0.2.zip
Files
(25.4 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:9d37e4a79b1439c42980ec59bd3183c8
|
12.6 kB | Preview Download |
|
md5:49efdc305f9fb4da6da2e21dcad0e852
|
12.9 kB | Preview Download |
Additional details
Related works
- Is supplement to
- Software: https://github.com/mgsperandii/editorialJVS/tree/v1.0.2 (URL)