Suppdata: Downloading Supplementary Data from Published Manuscripts

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Authors Will Pearse, Scott Chamberlain
Journal/Conference Name J. Open Source Software
Paper Category
Paper Abstract For example, imagine you were conducting an analysis of the evolution of body mass in mammals. Without suppdata, such an analysis would require manually downloading body mass and phylogenetic data from published manuscripts. This is time-consuming, difficult (if not impossible) to make truly reproducible without re-distributing the data, and hard to follow. With suppdata, such an analysis is straightforward, reproducible, and the sources of the data (S. A. Fritz, Bininda-Emonds, and Purvis 2009, Jones et al. (2009)) are clear because their DOIs are embedded within the code:
Date of publication 2018
Code Programming Language R

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