diff --git a/docs/casda/casda.rst b/docs/casda/casda.rst
index bf9ae9c7ac..b13c6ee1dc 100644
--- a/docs/casda/casda.rst
+++ b/docs/casda/casda.rst
@@ -80,10 +80,16 @@ from the keyring, or if in an interactive environment then it will be requested.
     >>> casda = Casda()
     >>> casda.login(username='email@somewhere.edu.au')
 
+.. Note::
+
+   Prior to Astroquery v0.4.7, authentication required creating an instance of the ``Casda`` class
+   with a username and password. e.g.: ``casda = Casda(username, password)``
 
 Data Access
 ===========
 
+.. versionadded:: 0.4.4
+
 In order to access data in CASDA you must first stage the data using the :meth:`~astroquery.casda.CasdaClass.stage_data` 
 method.
 This is because only some of the data in CASDA is held on disc at any particular time.
@@ -111,10 +117,15 @@ taken in scheduling block 2338 is shown below:
     >>> url_list = casda.stage_data(subset)
     >>> filelist = casda.download_files(url_list, savedir='/tmp')
 
+.. Note::
+
+   Due to server side changes, downloads now require Astroquery v0.4.6 or later.
 
 Cutouts
 =======
 
+.. versionadded:: 0.4.7
+
 As well as accessing full data products, the CASDA service can produce cutout images and cubes from larger data products.
 The cutout support in AstroQuery allows both spatial and spectral cutouts.
 To produce a spatial cutout, pass in a coordinate and either a radius or a height and a width to the