Cross-IoT Study of the Characteristics of IoT Schemata and Data Streams

Dataset supports PhD thesis by Siow 'Efficient Querying for Analytics on Internet of Things Databases and Streams'. A broad cross-IoT study of the characteristics of Things schemata and data streams. The aim of the study is to determine the flatness, width, types of attribute values and periodicity of current IoT data streams from various domains and use cases. Studies include: - SparkFun: 614 schemata of devices in Jan 2016 : Folder `sparkfun` - ThingSpeak: 9033 schemata of devices in July 2017 : Folder `ThingSpeak` - Array of Things: 9033 schemata of devices in July 2017 : Folder `array_of_things` - OpenEnergyMonitor EmonCMS: 9033 schemata of devices in July 2017 : Folder `EmonCms` - Open Humans: HealthKit, Fitbit, RunKeeper and Move schemata in July/August 2017 : Folder `OpenHumans`