use latest doi badge for zenodo (#1243)

README.rst

@@ -11,8 +11,8 @@ xarray: N-D labeled arrays and datasets
    :target: https://pypi.python.org/pypi/xarray/
 .. image:: https://badges.gitter.im/Join%20Chat.svg
    :target: https://gitter.im/pydata/xarray
-.. image:: https://zenodo.org/badge/doi/10.5281/zenodo.59499.svg
-   :target: http://dx.doi.org/10.5281/zenodo.59499
+.. image:: https://zenodo.org/badge/13221727.svg
+  :target: https://zenodo.org/badge/latestdoi/13221727
 
 **xarray** (formerly **xray**) is an open source project and Python package that aims to bring the
 labeled data power of pandas_ to the physical sciences, by providing

doc/faq.rst

@@ -142,23 +142,23 @@ would certainly appreciate it. We recommend two citations.
   1. At a minimum, we recommend citing the xarray overview journal article,
      submitted to the Journal of Open Research Software.
 
-     - Hoyer, S., Hamman, J. (In review). Xarray: N-D labeled arrays and
+     - Hoyer, S., Hamman, J. (In revision). Xarray: N-D labeled arrays and
        datasets in Python. Journal of Open Research Software.
 
        Here’s an example of a BibTeX entry::
 
-           @article{hoyer2016xarray,
+           @article{hoyer2017xarray,
              title   = {xarray: {N-D} labeled arrays and datasets in {Python}},
              author  = {Hoyer, S. and J. Hamman},
-             journal = {In review, J. Open Res. Software},
-             year    = {2016}
+             journal = {In revision, J. Open Res. Software},
+             year    = {2017}
            }
 
   2. You may also want to cite a specific version of the xarray package. We
      provide a `Zenodo`__ citation and DOI for this purpose:
 
-        .. image:: https://zenodo.org/badge/7766/pydata/xarray.svg
-            :target: https://zenodo.org/badge/latestdoi/7766/pydata/xarray.
+        .. image:: https://zenodo.org/badge/13221727.svg
+           :target: https://zenodo.org/badge/latestdoi/13221727.
 
        An example BibTeX entry::