10.60507/FK2/LSJGWW Schweizer, Florian Florian Schweizer https://orcid.org/0009-0001-2902-5178 University of Bonn, University Hospital Bonn, Institute for Digital Medicine Yu, Joe Joe Yu https://orcid.org/0009-0003-8647-8848 TUM School of Computation, Information, and Technology, Technical University Munich Mille, Elena Elena Mille https://orcid.org/0009-0005-3072-5760 TUM School of Computation, Information, and Technology, Technical University Munich Reimer, Lara Marie Lara Marie Reimer https://orcid.org/0000-0002-6546-8531 University of Bonn, University Hospital Bonn, Institute for Digital Medicine Kapsecker, Maximilian Maximilian Kapsecker https://orcid.org/0000-0002-3907-0749 TUM School of Computation, Information, and Technology, Technical University Munich Klinker, Jens Jens Klinker https://orcid.org/0009-0003-1054-8117 TUM School of Computation, Information, and Technology, Technical University Munich Jonas, Stephan M. Stephan M. Jonas https://orcid.org/0000-0002-3687-6165 University of Bonn, University Hospital Bonn, Institute for Digital Medicine bonndata 2026 Computer and Information Science iPhone 13 Pro iPhone 14 Pro sensor battery life iOS 16 Schweizer, Florian Florian Schweizer University of Bonn, University Hospital Bonn, Institute for Digital Medicine Jonas, Stephan M. Stephan M. Jonas University of Bonn, University Hospital Bonn, Institute for Digital Medicine Schweizer, Florian Florian Schweizer Yu, Joe Joe Yu Mille, Elena Elena Mille Reimer, Lara Marie Lara Marie Reimer Kapsecker, Maximilian Maximilian Kapsecker Klinker, Jens Jens Klinker Jonas, Stephan M. Stephan M. Jonas 2026-03-03 2026-05-08 2023-08-16/2023-11-30 Smartphone sensor data;JSON;machine readable 10.3390/S26102923 10.5281/ZENODO.18800055 10.60507/FK2/LSJGWW/CB0IH1 10.60507/FK2/LSJGWW/Q5RSZN 10.60507/FK2/LSJGWW/WIKNZM 10.60507/FK2/LSJGWW/JNXRQH 10.60507/FK2/LSJGWW/VSYWKT 10.60507/FK2/LSJGWW/UDWDJH 10.60507/FK2/LSJGWW/R2MLUS 10.60507/FK2/LSJGWW/CUKX2R 10.60507/FK2/LSJGWW/WR9X5P 10.60507/FK2/LSJGWW/EJCRHT 10.60507/FK2/LSJGWW/OXRGBG 10.60507/FK2/LSJGWW/BO4KR4 10.60507/FK2/LSJGWW/GXKH6F 10.60507/FK2/LSJGWW/XR6ESR 10.60507/FK2/LSJGWW/TAMHOT 10.60507/FK2/LSJGWW/2MNLUS 10.60507/FK2/LSJGWW/CRGDEZ 10.60507/FK2/LSJGWW/6D4LHF 10.60507/FK2/LSJGWW/JY7UUO 10.60507/FK2/LSJGWW/5XOTZL 10.60507/FK2/LSJGWW/E5NLHM 10.60507/FK2/LSJGWW/PVQVZN 10.60507/FK2/LSJGWW/5BJWB6 10.60507/FK2/LSJGWW/9IBBNA 10.60507/FK2/LSJGWW/R0YIHQ 10.60507/FK2/LSJGWW/1IRWTN 10.60507/FK2/LSJGWW/YPQIXM 10.60507/FK2/LSJGWW/BSV8VL 10.60507/FK2/LSJGWW/D46IZL 10.60507/FK2/LSJGWW/CWBTBV 3061028 3364290 17722059 1670720 2690940 4601528 4510081 27683754 62305 262806 2185128 597821 261164 255426 6231865 2671575 4369041 1472792 10086801 865371 1547890 611147 2196489 4249355 1570063 1437630 298186 1569585 4396842 9613 application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip application/zip text/plain 1.0 Creative Commons Attribution 4.0 International License. Our research proposes a new reproducible and low-cost hardware and software testing protocol to evaluate the battery impact of individual sensors in modern iPhone devices. In the accompanying publication (DOI:), we introduce and explain the protocol in detail. Next, we ran 29 experiments based on the protocol, carried out on 9 iPhone devices running iOS 16.6. This dataset includes the collected battery data for those experiments. BatteryTest, v1.0-study-release German Federal Ministry of Education and Research (BMBF) 01IS17049