updated dist file links

README.md

@@ -4,7 +4,7 @@
 
 MLAir (Machine Learning on Air data) is an environment that simplifies and accelerates the creation of new machine 
 learning (ML) models for the analysis and forecasting of meteorological and air quality time series. You can find the
-docs [here](http://toar.pages.jsc.fz-juelich.de/mlair/docs/).
+docs [here](https://esde.pages.jsc.fz-juelich.de/machine-learning/mlair/docs/).
 
 [[_TOC_]]
 
@@ -34,7 +34,7 @@ HPC systems, see [here](#special-instructions-for-installation-on-jülich-hpc-sy
 * Installation of **MLAir**:
     * Either clone MLAir from the [gitlab repository](https://gitlab.jsc.fz-juelich.de/esde/machine-learning/mlair.git) 
       and use it without installation (beside the requirements) 
-    * or download the distribution file ([current version](https://gitlab.jsc.fz-juelich.de/esde/machine-learning/mlair/-/blob/master/dist/mlair-1.5.0-py3-none-any.whl)) 
+    * or download the distribution file ([current version](https://gitlab.jsc.fz-juelich.de/esde/machine-learning/mlair/-/blob/master/dist/mlair-2.0.0-py3-none-any.whl)) 
       and install it via `pip install <dist_file>.whl`. In this case, you can simply import MLAir in any python script 
       inside your virtual environment using `import mlair`.
 
@@ -89,7 +89,7 @@ The installation on Windows is not tested yet.
 In this section, we show three examples how to work with MLAir. Note, that for these examples MLAir was installed using
 the distribution file. In case you are using the git clone it is required to adjust the import path if not directly
 executed inside the source directory of MLAir. There is also a downloadable 
-[Jupyter Notebook](https://gitlab.version.fz-juelich.de/toar/mlair/-/blob/master/supplement/Examples_from_manuscript.ipynb) 
+[Jupyter Notebook](https://gitlab.jsc.fz-juelich.de/esde/machine-learning/mlair/-/blob/master/supplement/Examples_from_manuscript.ipynb) 
 provided in that you can run the following examples. Note that this notebook still requires an installation of MLAir.
 
 ## Example 1

docs/_source/installation.rst

@@ -27,7 +27,7 @@ Installation of MLAir
 * Install all requirements from `requirements.txt <https://gitlab.jsc.fz-juelich.de/esde/machine-learning/mlair/-/blob/master/requirements.txt>`_
   preferably in a virtual environment
 * Either clone MLAir from the `gitlab repository <https://gitlab.jsc.fz-juelich.de/esde/machine-learning/mlair.git>`_
-* or download the distribution file (`current version <https://gitlab.jsc.fz-juelich.de/esde/machine-learning/mlair/-/blob/master/dist/mlair-1.5.0-py3-none-any.whl>`_)
+* or download the distribution file (`current version <https://gitlab.jsc.fz-juelich.de/esde/machine-learning/mlair/-/blob/master/dist/mlair-2.0.0-py3-none-any.whl>`_)
   and install it via :py:`pip install <dist_file>.whl`. In this case, you can simply
   import MLAir in any python script inside your virtual environment using :py:`import mlair`.