We collected data using MobilitApp from 3 mobile phone sensors: accelerometer, magnetometer and gyroscope. Eleven modes of transportation: bicycle, electric bicycle, electric scooter, bus, subway, train, tram, motorcycle, car, running and walking. Data gathered from 50 smartphones, during 298 h, 15 months (23 March 2023 - 27 June 2024). Volunteers labeled their unimodal trips into their urban and metropolitan trips.

This work was partially supported by the Spanish Government under research projects "DIstributed Smart Communications with Verifiable EneRgy-optimal Yields (DISCOVERY)" PID2023-148716OB-C32, funded by MCIN/AEI/10.13039/501100011033; and by "Anonymization technology for AI-based analytics of mobility data (MOBILYTICS)" TED2021-129782B-I00, funded by MCIN/AEI/10.13039/501100011033 and by the European Union NextGenerationEU/ PRTR; and by "Enhancing Communication Protocols with Machine Learning while Protecting Sensitive Data (COMPROMISE)" PID2020-113795RB-C31, funded by MCIN/AEI/10.13039/501100011033; and by the Generalitat de Catalunya, under AGAUR grant "2021 SGR 01413".  More information: https://mobilitapp.upc.edu