Apply suggestions from code review

Co-authored-by: Markus Kühbach <mkuehbach@users.noreply.github.com>

Author: lukaspie

src/pynxtools/nomad/example_uploads/__init__.py

@@ -28,13 +28,13 @@
     category="NeXus Experiment Examples",
     description="""
         Sensor Scan - IV Temperature Curve
-        This example shows how experimental data can be mapped to a Nexus application definition.
-        Here, data from an IV Temperature measurements as taken by a Python framework is
-        converted to [`NXiv_temp`](https://fairmat-nfdi.github.io/nexus_definitions/classes/contributed_definitions/NXiv_temp.html).
-        We also demonstrate the use of Nexus ELN features of NOMAD to add further details
+        This example shows how experimental data can be mapped to a NeXus application definition.
+        Here, data from an IV (voltage-vs-current) temperature measurements as taken by a Python framework is
+        converted to a NeXus/HDF5 file that complies with the [`NXiv_temp`](https://fairmat-nfdi.github.io/nexus_definitions/classes/contributed_definitions/NXiv_temp.html) application definition.
+        We also demonstrate the use of NeXus ELN features of NOMAD to add further details
         which were not provided by the data acquisition software.
         This example demonstrates how
-        - a NOMAD ELN can be built and its content can be written to an RDM platform agnostic yaml format
+        - a NOMAD ELN can be built and its content written to a yaml file that is RDM platform agnostic
         - NOMAD ELN can be used to combine ELN data with experiment data and export them to NeXus
         - NeXus data is represented as an Entry with searchable quantities in NOMAD
         - NORTH tools can be used to work with data in NOMAD uploads

src/pynxtools/nomad/example_uploads/iv_temp_example/README.md

@@ -1,9 +1,9 @@
 # Introduction
 
-This is an example of a PID controlled sensor sweep scan. The temperature is set using a PID controller. Then, for the set temperature, a voltage sweep is performed. For each of the voltages, the current is measured. This is repeated for a given list of temperatures.
+This is an example of a PID controlled sensor sweep scan. The temperature is set using a PID controller. Multiple experiments at different temperatures are performed. For each, a voltage sweep is performed, recording voltage over current.
 
-This specific data was captured using a Bluesky controlled system. This was then saved into a binary file using Pickle. This example illustrates how such a dataset could be converted using the [`JSONMapReader`](https://github.com/FAIRmat-NFDI/pynxtools/tree/master/src/pynxtools/dataconverter/readers/json_map) of the NOMAD plugin [`pynxtools`](https://github.com/FAIRmat-NFDI/pynxtools).
-The data is mapped on to a Nexus application definition for temperature-dependent IV curve measurements, [NXiv_temp](https://fairmat-nfdi.github.io/nexus_definitions/classes/contributed_definitions/NXiv_temp.html).
+This specific data was captured using a [Bluesky](https://blueskyproject.io/) controlled system, writing to a binary file using Pickle. This example illustrates how such a dataset could be converted using the [`JSONMapReader`](https://github.com/FAIRmat-NFDI/pynxtools/tree/master/src/pynxtools/dataconverter/readers/json_map) of the NOMAD plugin [`pynxtools`](https://github.com/FAIRmat-NFDI/pynxtools).
+The data are mapped onto the NeXus application definition [NXiv_temp](https://fairmat-nfdi.github.io/nexus_definitions/classes/contributed_definitions/NXiv_temp.html) that was developed for documenting temperature-dependent IV curve measurements.
 
 ## Viewing uploaded data
 
@@ -18,11 +18,11 @@ To do so open the **FILES** tab and just select a `.nxs` file.
 
 ## Using a Jupyter Notebook
 
-This example comes with a very simple Jupyter Notebook that shows how one could easily get access to a Python environment with access to all your data in one place.
-To give this a go, click the **FILES** tab and select `IV_temp.ipynb`. Feel free to modify this or just create a new one to try!
+This example comes with a simple Jupyter Notebook that shows how one could easily get access to a Python environment with access to all your data in one place.
+To give this a go, click the **FILES** tab and select `IV_temp.ipynb`. Feel free to modify this notebook or just create a new one to try!
 
 ## Where to go from here?
 
-If you're interested in using this pipeline and NOMAD in general you'll find support at [FAIRmat](https://www.fairmat-nfdi.eu/fairmat/consortium).
+If you're interested in using this pipeline and NOMAD in general, you'll find support at [FAIRmat](https://www.fairmat-nfdi.eu/fairmat/consortium).
 
 If you have any questions about this example you may contact [Sherjeel Shabih](https://www.fairmat-nfdi.eu/fairmat/fairmat_/fairmatteam) from the FAIRmat consortium.