SUMMARYIn two experiments listeners assessed how sounds represented data, as might be used in sonification. In Experiment 1, 209 undergraduates used magnitude estimation to define the relationship between three sound attributes (frequency, tempo, modulation index) and 10 data dimensions (size, temperature, pressure, velocity, number of dollars, urgency, proximity, attractiveness, danger, mass). Polarities and slopes (i.e. power function exponents) are reported and compared to predictions from the literature. In Experiment 2, 226 new participants demonstrated polarities and slopes are stable across a direct replication. Results show that listener expectations depend on both sound and data dimensions in use. While there are some unanimous expectations across listeners, there are also differences due to different mental models formed by participants, which may relate to listening experience.