diff --git a/README.md b/README.md
index 6560666..8c2f753 100644
--- a/README.md
+++ b/README.md
@@ -1,7 +1,12 @@
 
-To have more information on what is available specifically through this kernel, type magic command `%help` in the interpreter.
+# JupyterLab OpenScience Containers 
+This is the first sample container for which we demonstrate how to use some HPC tooling on Kubernetes or locally, using the https://cgs.jhuapl.edu codebase "MAGE" ( an ecosystem consisting of Fortran/Python MPI/OPENMP).
+Here, we specifically use Paraview to plot Magneto-Hydro-Dynamics Data produced by MAGE, and thus we include the Python Packages required specifically for this HPC codebase (kaipy etc).
+WIP: The Globus Endpoints for the data are public, but currently those datasets are rather large.
 
-For a basic example of the kernel using Jupyter Notebook, see `ParaviewExample.ipynb`, for a sample Tutorial see `MagIonPlot.ipynb` , for opening a connection via Globus, see `globus_client_start.ipynb`.
+In real life: there is a CI pipeline with the source code, that builds this Analysis-Container
+
+For a basic example of the kernel using Jupyter Notebook, see `ParaviewExample.ipynb`, for a sample Tutorial see `MagIonPlot.ipynb` , for opening a connection via Globus, see `globus_client_start.ipynb`. To have more information on what is available specifically through this Jupyter-kernel, type magic command `%help` in the interpreter.
 
 ## TL;DR
 ```
@@ -10,10 +15,14 @@ docker run -it -p 8888:8888 ghcr.io/austriandatalab/aocc_openscience_mage:main
 
 and you have the Jupyter-Lab-with-Paraview-Kernel running locally, accessible in your browser.
 
+## For JupyterHub locally
+ You can also see our other repos for the full JupyterHub on Docker and Minikube (https://github.com/AustrianDataLAB/AOCC-JupyterHub-Trial)
+
 
 ## Test your own modified environment with docker locally
 
 Included you find a `Dockerfile` with a simple test environment based on JupyterLab. 
+
 The installation is based on *Python 3.9* and uses *miniconda* to install Paraview 5.11.1 (on `conda-forge`).
 
 If you wish to add your own modifications, clone this repo, modify it, then:
@@ -27,4 +36,7 @@ and to run it:
 $ docker run -it -p 8888:8888 my_openscience_paraview:0.0.1
 ```
 You will see the URL showing up to connect to the JupyterLab.
-The container starts in the `./Examples` folder.
+
+## For JupyterHub on Kubernetes 
+see our main project under:
+(https://dev.azure.com/AOCC/OpenScienceLabs)