Venzke, MarcusMarcusVenzkeSaigol, Ahmad NadeemAhmad NadeemSaigolManikku Badu, Nisal HemadasaNisal HemadasaManikku Badu2024-05-072024-05-072024-05-07https://hdl.handle.net/11420/47437This data package contains open research data intended for machine learning from the WinOSens project. It is sensor data that was recorded by a sensor module attached to a sack truck pushed on the same path many times. It was meant to train ML models for recognizing the current position on the path. Sensor values are available for acceleration, gyration, magnetic flux density, air pressure, temperature, humidity, and the brightness of different colors. The current location of the sack truck is available as labels annotated by humans. The data is provided for 3 paths that cover indoor and outdoor areas.enhttps://creativecommons.org/licenses/by/4.0/Open research dataIndoor positioningSensor dataMachine learning training dataMultivariate time series classificationWinOSensMLE@TUHHTechnology::620: EngineeringComputer SciencesMeasurement and Test Data10.15480/882.956310.15480/882.956310.48550/arXiv.2308.1167010.55432/978-1-6692-0005-5_9