Make a summary of this: There are many open data sets available to the public, but it can be difficult to find data sets that are both high quality and have clearly defined license and usage terms. To help solve this challenge, IBM created the Data Asset eXchange, or "DAX”. DAX provides a curated collection of open data sets, both from IBM Research and trusted third-party sources. These data sets are ready for use in enterprise applications, with a wide variety of application types, including images, video, text, and audio. DAX aims to foster data sharing and collaboration by keeping data sets available under a Community Data License Agreement (or CDLA). DAX makes it easier for developers to get started with data sets because it provides a single place to access unique, high-quality data sets from trusted sources like IBM Research. It also provides tutorial notebooks that walk through the basics of data cleaning, pre-processing, and exploratory analysis. Certain data sets include advanced notebooks that explain how to perform more complex tasks, like creating charts, training machine-learning models, integrating deep learning via the Model Asset eXchange, and running statistical analysis and time-series analysis. The Data Asset eXchange and the Model Asset eXchange are both available on the IBM Developer website. With these resources, developers can create end-to-end analytic and machine learning workflows and to consume open data and models with confidence under clearly defined license terms. Now, let’s explore the Data Asset eXchange. Open https://developer.ibm.com/ in your web browser. Then select “Open Source at IBM” From the drop-down, select “Data Asset eXchange”. In the Data Asset eXchange, multiple open data sets are available for you to explore. Let’s say you’ve found a data set that might be very interesting to you: the “NOAA Weather Data - JFK Airport” data set, which contains data from a weather station at the John F. Kennedy Airport in New York. On this data set page, you can click Get this data set to download the NOAA data set from the cloud storage. Run data set notebooks to access the notebooks associated with the data set in Watson. and Preview the data and Notebooks to explore DAX metadata, glossary and the notebook. Most data sets on DAX are complemented by one or more Notebooks. Click assets to view all the Jupyter Notebooks and data available. You can then click the source code to view all the notebooks associated with your NOAA project. You can execute all the notebooks in Watson studio to perform data cleaning, pre-processing, and exploratory analysis. If you are already familiar with opening the notebooks in Watson studio, you can log into your IBM Cloud account, create a project, and load all the notebooks into the project. Data sets on DAX also consist of one or more data files. Click the Data option to view the data files, available in your project. In this video, you learned that the IBM Data Asset eXchange (DAX) site contains high-quality open data sets DAX open data sets include tutorial notebooks that provide basic and advanced walk throughs for developers. DAX and MAX are available on the IBM Developer website. You can get, run, and preview data sets and notebooks on DAX, and DAX notebooks are opened in Watson Studio.