The UCI Machine Learning Repository has a quite large sensor dataset
Gas sensor array under flow modulation
The data set contains 58 time series acquired from 16 chemical sensors under gas flow modulation conditions. The sensors were exposed to different gaseous binary mixtures of acetone and ethanol.
The data set is organized in two 'csv' files, 'rawdata.csv.gz' (4.5 MB) and 'features.csv' (200 kB). The raw data are stored in the first file 'rawdata.csv.gz', where each line represents a single measurement per sensor. Consequently, one needs to read specific 16 consecutive lines to get a single measurement from 16 sensors. The features extracted in (Ziyatdinov et al., 2014) are provided in the second file 'features.csv', where each line represents features extracted from all 16 time-series of the sensors (a single measurement).
Additionally, blog post "Great IoT, Sensor and other Data Sets Repositories" has 10+ sensor data sets.
Many of these modern, sensor-based data sets collected via Internet protocols and various apps and devices, are related to energy, urban planning, healthcare, engineering, weather, and transportation sectors.