minor typos

intro.md

@@ -6,7 +6,7 @@
 
 # The Argo Online School
 
-[Argo](https://argo.ucsd.edu/) is an international program that collects information from inside the ocean using a fleet of aproximately 4000 floats that drift with the ocean currents. The floats move up and down between the surface and a mid-water level, measuring ocean variables, but spend almost all their life below the surface. The following figure shows the actual configuration of the Argo fleet:
+[Argo](https://argo.ucsd.edu/) is an international program that collects information from inside the ocean using a fleet of aproximately 4,000 floats that drift with the ocean currents. The floats move up and down between the surface and a mid-water level, measuring ocean variables, but spend almost all their life below the surface. The following figure shows the actual configuration of the Argo fleet:
 
 <figure>
 <img src="http://sio-argo.ucsd.edu/statusbig.gif" alt="Argo status" width="800"/>
@@ -17,7 +17,7 @@ Argo has been collecting more than 100,000 profiles per year since 2012, and now
 
 Given the amount of data gathered by the Argo network of floats, the associated documentation has grown considerably and can be overwhelming. That's why we developed the Argo Online school **AoS**, to teach the basic foundations to use and understand the Argo data. The AoS is a set of guided-short videos and hands-on jupyter notebooks designed for high school or graduate students in any discipline.
 The AoS is organized in two parts. The fist one, with two lessons, is devoted to teaching what is the The Argo Program and The Argo Dataset, with a set of 32 short videos and 14 chapters. Lessons 1 and 2 have been designed for students with knowledge similar to those acquired to get into high school, this is, basic knowledge about the relationships between the Earth’s processes, weather and climate; and basic skills in interpreting maps, charts, and tables to organize and analyze data. These two lessons are themselves a closed module, assuming the goal is simply to learn about Argo.
-The second part includes only one lesson: Using the Argo data, with jupyter notebooks and 8 short videos to teach, hands-on in 14 chapters, how to access the Argo data and use it. This lesson has been designed for students with knowledge similar to those neceesary for lesson 1 and 2 and basic knowledge of the programming language python.
+The second part includes only one lesson: Using the Argo data, with jupyter notebooks and 8 short videos to teach, hands-on in 14 chapters, how to access the Argo data and use it. This lesson has been designed for students with knowledge similar to those necessary for lesson 1 and 2 and basic knowledge of the programming language python.
 
 Lessons 1 and 2 require about 5 hours to be completed, while lesson 3 requires 10 hours to be completed, assuming basic knowledge of python.
 

paper.md

@@ -16,19 +16,19 @@ authors:
 affiliations:
 - name: Centro Oceanográfico de Canarias, Instituto Español de Oceanografía (IEO - CSIC)
   index: 1
-date: 7 October 2024
+date: 14 October 2024
 bibliography: paper.bib
 ---
 
 # Summary
 
-The **Argo Online School (AoS)** is a collection of videos, animations and hands-on python-driven jupyter notebooks designed to make the data accessible from more than 4000 profiling floats that constitute the Argo program. The Argo program samples, in near real-time, the upper 2000 meters of the ocean using a fleet of floats that drift with the ocean currents. The AoS is integrated by 28 chapters about the Argo program and its data, organized into a total of 3 lessons and 2 self-assessment sections:
+The **Argo Online School (AoS)** is a collection of videos, animations and hands-on python-driven jupyter notebooks designed to make the data accessible from more than 4,000 profiling floats that constitute the Argo program. The Argo program samples, in near real-time, the upper 2,000 meters of the ocean using a fleet of floats that drift with the ocean currents. The AoS consists of 28 chapters about the Argo program and its data, organized into a total of 3 lessons and 2 self-assessment sections:
 
 * Lesson 1 is intended to introduce the basics of Argo, its objectives and key elements, such as the structure of the Argo floats and their operation in the open ocean.
 
 * Lesson 2 focuses on the data coming from the Argo network, from its organization to its accessibility. Data quality control is also addressed through its two main modes: Real-Time and Delayed-Mode.
 
-* Lesson 3 is the AoS hands-on component, and it requires basic knowledge of python. It provides a set of instructions forpreparing a python environment in case the user wants to run the python Jupyter Notebooks in a local machine. This environment already includes recommended packages. The walkthrough of Lesson 3 shows how to work with the netCDF format, how to access and process Argo data, and create visualizations to enhance understanding of the information derived from Argo data.
+* Lesson 3 is the AoS hands-on component, and it requires basic knowledge of python. It provides a set of instructions for preparing a python environment in case the user wants to run the python Jupyter Notebooks on a local machine. This environment already includes recommended packages. The walkthrough of Lesson 3 shows how to work with the netCDF format, how to access and process Argo data, and create visualizations to enhance understanding of the information derived from Argo data.
 
 The target audience of the AoS is high school, undergraduate or early graduate students. The programming content in Lesson 3 offers an ideal opportunity to support students pursuing a technical or science curriculum. Lessons 1 and 2 form a closed module and can be used independently by learners who wish to focus solely on Argo. It is recommended not to skip any lesson in the AoS, as the content is carefully structured from simpler to more complex concepts, ensuring progressive learning. Users have the opportunity to self-assess their learning progress through the proposed quizzes in the AoS.