Data sonification refers to the transformation of data into sound and is in many ways similar to data visualization - it is very much visualizing with the ears rather than with the eyes. Sonification is achieved by means of a mapping between data values and sound properties, typically the volume or the pitch of notes (which are the auditory counterparts of the size and color of symbols in a graph). And just as we like our maps and figures to be both informative and visually appealing, we would like sonification outcomes to 'sound good' - i.e., to become music. This poster will present a few projects aimed at transforming the data we use as part of our scientific activity into musical animations. In particular, the website https://hydrologicalsoundscapes.github.io allows listening to the diversity of hydrologic regimes in the world through an interactive musical exploration of a global streamflow dataset. Other musification experiments include a rhythmic attempt at explaining the notion of return periods (https://vimeo.com/653714131), an hydrology 101 course in music (https://vimeo.com/481648928), a sonic exploration of trends in French hydroclimatic series (https://vimeo.com/746451180), and many more (https://globxblog.github.io). While data visualization is ubiquitous in any field making heavy use of data, and is even considered as an integral part of data analysis, sonification is still very incidental in comparison. Aren’t we missing something by just looking at the data, and not listening to it? Data-based musical animations may constitute engaging starting points to discuss scientific concepts or results. Besides, the process of sonifying data is quite fun and is a great way to learn new skills in signal processing, musical theory or computer science, for instance.