In total, our data contains mobility flows of 2,275,868 students, whose mobility is tracked between 152,410 origin and destination pairs across eight years. The spatial units we have used in the spatial aggregation correspond to the most recent #LAU and #NUTS 3 versions for each year.

We used #Photon and #Nominatim #geocoding services to convert the textual place names into geographical locations and aggregated them on the #NUTS and #LAU levels to support usability of our data.

Geocoding the data was not simple. Many place names were entered into the Erasmus+ database manually resulting in diverse place names containing national spellings, typographical mistakes, character encoding errors, and national scripts, which required manual corrections.

We selected mobilities from students aged 18 years old or older, which lasted for 90 days or more. Our data can be used to examine #regional attractiveness, cross-pollination in #Academia, regional #BrainGain and #BrainDrain dynamics, and much more. We provide our data on #LAU and #NUTS levels for easier use in research, regional planning, and policy making.