  Nowadays, more and more datasets are published towards research and
development of systems and models, enabling direct comparisons, continuous
improvement of solutions, and researchers engagement with experimental, real
life data. However, especially in the Structural Health Monitoring (SHM)
domain, there are plenty of cases where new research projects have a unique
combination of structure design and implementation, sensor selection and
technological enablers that does not fit with the configuration of relevant
individual studies in the literature. Thus, we share the data from our case
study to the research community as we did not find any relevant repository
available. More specifically, in this paper, we present a novel time-series
dataset for impact detection and localization on a plastic thin-plate, towards
Structural Health Monitoring applications, using ceramic piezoelectric
transducers (PZTs) connected to an Internet of Things (IoT) device. The dataset
was collected from an experimental procedure of low-velocity, low-energy impact
events that includes at least 3 repetitions for each unique experiment, while
the input measurements come from 4 PZT sensors placed at the corners of the
plate. For each repetition and sensor, 5000 values are stored with 100 KHz
sampling rate. The system is excited with a steel ball, and the height from
which it is released varies from 10 cm to 20 cm. The dataset is available in
GitHub (https://github.com/Smart-Objects/Impact-Events-Dataset).
