diff --git a/CHANGELOG.md b/CHANGELOG.md
index e0c57c86048251f3125b58e17aa9b999cd4581f3..7d17fa89513192bf7d8ce0fa39e6e1449dc9b4f0 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -2,6 +2,19 @@
 All notable changes to this project will be documented in this file.
 
 
+## v0.12.1 -  2020-09-28  - examples in notebook
+
+### general:
+- introduced a notebook documentation for easy starting, #174
+- updated special installation instructions for the Juelich HPC systems, #172
+
+### new features:
+- names of input and output shape are renamed consistently to: input_shape, and output_shape, #175
+
+### technical:
+- it is possible to assign a custom name to a run module (e.g. used in logging), #173
+
+
 ## v0.12.0 -  2020-09-21  - Documentation and Bugfixes
 
 ### general:
diff --git a/README.md b/README.md
index 1198c6ae377519ae595e2609b053eb91a7bba01e..dfbcc518341e4f10f642f385b1b60633f56b5ee0 100644
--- a/README.md
+++ b/README.md
@@ -17,17 +17,18 @@ install the geo packages. For special instructions to install MLAir on the Jueli
 
 * (geo) Install **proj** on your machine using the console. E.g. for opensuse / leap `zypper install proj`
 * (geo) A c++ compiler is required for the installation of the program **cartopy**
-* Install all requirements from [`requirements.txt`](https://gitlab.version.fz-juelich.de/toar/machinelearningtools/-/blob/master/requirements.txt)
+* Install all requirements from [`requirements.txt`](https://gitlab.version.fz-juelich.de/toar/mlair/-/blob/master/requirements.txt)
   preferably in a virtual environment
 * (tf) Currently, TensorFlow-1.13 is mentioned in the requirements. We already tested the TensorFlow-1.15 version and couldn't
   find any compatibility errors. Please note, that tf-1.13 and 1.15 have two distinct branches each, the default branch 
   for CPU support, and the "-gpu" branch for GPU support. If the GPU version is installed, MLAir will make use of the GPU
   device.
 * Installation of **MLAir**:
-    * Either clone MLAir from the [gitlab repository](https://gitlab.version.fz-juelich.de/toar/machinelearningtools.git) 
+    * Either clone MLAir from the [gitlab repository](https://gitlab.version.fz-juelich.de/toar/mlair.git) 
       and use it without installation (beside the requirements) 
-    * or download the distribution file (?? .whl) and install it via `pip install <??>`. In this case, you can simply
-      import MLAir in any python script inside your virtual environment using `import mlair`.
+    * or download the distribution file ([current version](https://gitlab.version.fz-juelich.de/toar/mlair/-/blob/master/dist/mlair-0.12.1-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`.
       
 
 # How to start with MLAir
diff --git a/dist/mlair-0.12.1-py3-none-any.whl b/dist/mlair-0.12.1-py3-none-any.whl
new file mode 100644
index 0000000000000000000000000000000000000000..940e25d1973e6d66328482d6e88a9457b5b88c71
Binary files /dev/null and b/dist/mlair-0.12.1-py3-none-any.whl differ
diff --git a/mlair/__init__.py b/mlair/__init__.py
index 0cfc33bb6ca17496e68e5e6281fa37a53a66466b..c0f6183fc3c30cd91818915de12115fd9679f648 100644
--- a/mlair/__init__.py
+++ b/mlair/__init__.py
@@ -1,7 +1,7 @@
 __version_info__ = {
     'major': 0,
     'minor': 12,
-    'micro': 0,
+    'micro': 1,
 }
 
 from mlair.run_modules import RunEnvironment, ExperimentSetup, PreProcessing, ModelSetup, Training, PostProcessing