fixing doc references

docs/Makefile

@@ -35,7 +35,7 @@ doc:
 	# generate environment table from dictionary
 	@$(SPHINXBUILD) -M html "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
 
-# make test, clean up
+# run tests
 test:
 	# generate parent fake module for the functions to be documented
 	@$(SPHINXBUILD) -M doctest "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)

docs/cookbooks/DataRegularisation.rst

@@ -14,8 +14,8 @@ library.
 
 #. Initially, we introduce and motivate regularization techniques and we do import the tutorial data.
 
-   * :ref:`Why Regularization <cookbooks/DataRegularisation:Why Regularization>`
-   * :ref:`Tutorial Data <cookbooks/Regularization:Tutorial Data>`
+   * :ref:`Why Regularization <cookbooks/DataRegularisation:Why Regularization?>`
+   * :ref:`Tutorial Data <cookbooks/DataRegularisation:Tutorial Data>`
 
 #. We will get an overview over the main :ref:`Regularization <cookbooks/DataRegularisation:regularization>` methods, starting with the shift.
 

docs/cookbooks/MultivariateFlagging.rst

@@ -170,7 +170,7 @@ But checking out values around *2017-10-29*, we notice, that the sampling rate s
 
 Those instabilities do bias most statistical evaluations and it is common practice to apply some
 :doc:`resampling functions <../funcs/resampling>` onto the data, to obtain a regularly spaced timestamp.
-(See also the :ref:`harmonization tutorial <cookbooks/DataRegularisation:data regularisation>` for more informations
+(See also the :ref:`harmonization tutorial <cookbooks/DataRegularisation:data regularization>` for more informations
 on that topic.)
 
 We will apply :py:meth:`linear harmonisation <saqc.SaQC.linear>` to all the sensor data variables,

docs/misc/title.rst

@@ -69,7 +69,7 @@ Features
         * or use SaQC as a commandline application and configure your pipelines via plain text
     * - |sacRaw|
       - * easily load data from multiple sources, concatenating them in a SaQC object
-        * :ref:`preprocess your data, by aligning it to shared frequency grids <cookbooks/DataRegularisation:Data Regularisation>`
+        * :ref:`preprocess your data, by aligning it to shared frequency grids <cookbooks/DataRegularisation:Data Regularization>`
     * - |sacFlagged|
       - * apply basic plausibility checks, as well as
         * more complex, univariat flagging Functions