Update file compress_dataset_without_enstools_write.ipynb

Update documentation following the suggestions from the article reviewers.

examples/notebooks/compress_dataset_without_enstools_write.ipynb

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 # Compress a Dataset without using enstools.io.write
 
 An example on how to use the analyzer to analyze a **dataset** and use the results to store it in a compressed file
+Besides enstools-encoding, this example relies on **xarray**, **pooch** and **netCDF4** in order to use xarray's tutorial data.
 
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 ### Imports
 
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 ``` python
 import xarray as xr
 from pathlib import Path
 from enstools.encoding.api import DatasetEncoding
 ```
 
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 ### Download some data
 
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 ``` python
 dataset_name = "air_temperature"
 dataset = xr.tutorial.open_dataset(dataset_name)
 dataset
 ```
 
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 ### Define the compression specifications using the proper compression string format
 
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 ``` python
 compression='lossy,sz,abs,0.14'
 ```
 
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 ### Use enstools.encoding to get the proper encodings for xarray.
 
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 ``` python
 encoding = DatasetEncoding(dataset=dataset, compression=compression)
 ```
 
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 ### Use Xarray to store a compressed netCDF
 
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 ``` python
 # Define a path for the temporary file
 file_path = Path("tmp.nc")
 ```
 
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 ``` python
 # Save dataset to a netcdf file
 # Please note that to use the HDF5 filters it is mandatory to use the h5netcdf engine.
 dataset.to_netcdf(file_path, engine="h5netcdf",encoding=encoding)
 ```
 
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 ``` python
 # Remove temporary file
 if file_path.exists():
     file_path.unlink()
 ```