diff --git a/README.md b/README.md
index ba9242b2c2885c8791b947b055a10929a76569e0..299aa574c0c76f4a8ee163ee76f0348fc4b908ba 100644
--- a/README.md
+++ b/README.md
@@ -18,7 +18,7 @@ The documentation and this README are work in progress.
 
 # Requirements
 
-This project requires python 3.11 or higher.
+This project requires python 3.10 or higher.
 TBD, see pyproject.toml
 
 
@@ -85,7 +85,7 @@ as pointed out previously.
 
 ##  High level function
 ```bash
- jupyter notebook example/produce_data_manyStations.ipynb
+ jupyter notebook examples/produce_data_manyStations.ipynb
 #(please see next notebook for a faster example)
 ```
 This notebook provides an example on how to download data, apply gridding and save the results as [netCDF files](https://docs.xarray.dev/en/stable/user-guide/io.html).
@@ -99,7 +99,7 @@ The subsequent requests function as a progress report and allow working with the
 As the gridding is done offline, it will be executed for already downloaded files, whenever the notebook is rerun. Please note, that the file name for the gridded data also contains the date of creation.
 
 ```bash
- jupyter notebook example/produce_data_withOptional.ipynb 
+ jupyter notebook examples/produce_data_withOptional.ipynb 
 ```
 This example is based on the previous one but uses additional arguments to refine the selection of stations. As an example, different classifications of the stations are used: first the "toar1_category" and second the "type_of_area".
 Details can be found in [documentation of the FastAPI REST interface](https://toar-data.fz-juelich.de/api/v2/#stationmeta) or the [user guide](https://toar-data.fz-juelich.de/sphinx/TOAR_UG_Vol03_Database/build/latex/toardatabase--userguide.pdf).
@@ -108,7 +108,7 @@ The selection of only a limited number of stations leads to significant faster r
 
 ## Retrieving data
 ```bash
- jupyter notebook example/get_sample_data_manual.ipynb 
+ jupyter notebook examples/get_sample_data_manual.ipynb 
 ```
 Downloads data from the TOAR database with a manual creation of the request to the TOAR database.
 The extracted data are written to disc. No further processing or gridding is done.
@@ -116,13 +116,13 @@ The result is a ZIP-file containing two CSV files. The first one contains the st
 
 ## Retrieving data
 ```bash
- jupyter notebook example/get_sample_data.ipynb 
+ jupyter notebook examples/get_sample_data.ipynb 
 ```
 As a comparison to the previous example, this one performs the same request by using the interface of this project.
 
 ## Retrieving data and visualization
 ```bash
- jupyter notebook example/quality_controll.ipynb
+ jupyter notebook examples/quality_controll.ipynb
 ```
 Notebook for downloading and visualization of data. 
 The data are downloaded and reused for subsequent executions of this notebook.