diff --git a/CITATION.Rmd b/CITATION.Rmd index 5d0a7939..5525c888 100644 --- a/CITATION.Rmd +++ b/CITATION.Rmd @@ -3,7 +3,8 @@ ```{r, echo=FALSE, results='hide'} generate_citation <- function(authors = "AUTHORS", editors = personList(person(given = "Francois", family = "Michonneau"), - person(given = "Auriel", family = "Fournier"))) { + person(given = "Auriel", family = "Fournier")), + doi = "10.5281/zenodo.569338") { aut <- readLines(authors) # remove first line @@ -18,7 +19,8 @@ generate_citation <- function(authors = "AUTHORS", editor = editors, month = format(Sys.Date(), "%B"), year = format(Sys.Date(), "%Y"), - url = "http://datacarpentry.org/R-ecology-lesson" + url = "http://datacarpentry.org/R-ecology-lesson", + doi = doi ) } diff --git a/CITATION.html b/CITATION.html index 449e466e..58dbf68c 100644 --- a/CITATION.html +++ b/CITATION.html @@ -327,7 +327,7 @@

Lessons

The ggplot2 lesson was initially created by Mateusz Kuzak, Diana Marek, and Hedi Peterson, during a Hackathon in Espoo, Finland on March 16-17, 2015, sponsored by the ELIXIR project.

You can cite this Data Carpentry lesson as follow:

-Obeng A, Pawlik A, Pletzer A, Shiklomanov A, Fouilloux A, Fournier A, Marwick B, Brown CT, Voter C, Bouquin D, Wilson E, Hart E, Sügis E, Gan E, White E, Michonneau F, Boehm F, Dashnow H, Lapp H, Ashander J, Byrnes J, Hollister JW, Keane J, Herr J, Mislan KAS, KWHall, Woo K, Cranston K, Jordan KL, Ram K, Hertweck K, Todd-Brown K, Lotterhos K, Direk K, Chatzidimitriou K, Deer L, Laurent, Wasser L, Tarkowski L, Breckels L, Foos M, Ankenbrand M, Ankenbrand MJ, Kuzak M, Koontz M, Johnston M, Marino N, Carchedi N, Lijnzaad P, Shawn, Labou S, Pederson S, Webster T, Hart T, Sandmann T, Teal T, Furnass W, Pearse W, Li Y, ashander, cbahlai, clarashaw, duffymeg, ejh243, fishman, jsta, markrobinsonuzh, mchiapello, mkuzak, plijnzaad, riverpeek, sarahsupp, sfn_brt, stubbsda and suparee (2017). “Data Carpentry: R for data analysis and visualization of Ecological Data.” http://datacarpentry.org/R-ecology-lesson. +Obeng A, Pawlik A, Pletzer A, Shiklomanov A, Fouilloux A, Fournier A, Marwick B, Brown CT, Voter C, Bouquin D, Wilson E, Hart E, Sügis E, Gan E, White E, Michonneau F, Boehm F, Dashnow H, Lapp H, Ashander J, Byrnes J, Hollister JW, Keane J, Herr J, Mislan KAS, KWHall, Woo K, Cranston K, Jordan KL, Ram K, Hertweck K, Todd-Brown K, Lotterhos K, Direk K, Chatzidimitriou K, Deer L, Laurent, Wasser L, Tarkowski L, Breckels L, Foos M, Ankenbrand M, Ankenbrand MJ, Kuzak M, Koontz M, Johnston M, Marino N, Carchedi N, Lijnzaad P, Shawn, Labou S, Pederson S, Webster T, Hart T, Sandmann T, Teal T, Furnass W, Pearse W, Li Y, ashander, cbahlai, clarashaw, duffymeg, ejh243, fishman, jsta, markrobinsonuzh, mchiapello, mkuzak, plijnzaad, riverpeek, sarahsupp, sfn_brt, stubbsda and suparee (2017). “Data Carpentry: R for data analysis and visualization of Ecological Data.” doi: 10.5281/zenodo.569338, http://datacarpentry.org/R-ecology-lesson.

or as a BibTeX entry:

@Misc{,
@@ -337,6 +337,7 @@ 

Lessons

month = {April}, year = {2017}, url = {http://datacarpentry.org/R-ecology-lesson}, + doi = {10.5281/zenodo.569338}, }