Research data generated at or in cooperation with the Medical Faculty Bonn
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11 to 20 of 178 Results
Rohe-Ashraf-et-al-2025-BMC_Figure-5_Immunostaining.zip
May 12, 2026 - Microscopic analysis of human ASC-derived kidney organoids for polycystic kidney disease modelling
ZIP Archive - 836.0 MB - MD5: 78a3ee1be00f93a434e6f0d41d5d61c8
Immunofluorescence images of Forskolin, DMSO or untreated dome and suspension tubuloids used for the quantification of tubuloid epithelial width and ciliary length.
Rohe-Ashraf-et-al-2025-BMC_Figure-S1_Dome-and-Suspension-culture_MIB1.zip
May 12, 2026 - Microscopic analysis of human ASC-derived kidney organoids for polycystic kidney disease modelling
ZIP Archive - 102.4 MB - MD5: 0572bbc7020d9fa3ba69169e454ce914
Bright-field microscopy images of live dome tubuloids at P6 to P8 and primary human kidney cells immediately cultured in suspension after tissue dissociation. Microscopy images and slide scans of fixed dome and suspension tubuloids at P1, stained for MIB1.
Rohe-Ashraf-et-al-2025-BMC_Figure-S3B_GATA3-quantification.zip
May 12, 2026 - Microscopic analysis of human ASC-derived kidney organoids for polycystic kidney disease modelling
ZIP Archive - 33.7 MB - MD5: ef079097875051bf05a402ef76cfa32f
Microscopy images and slide scans of fixed dome and suspension tubuloids in P1 and P4, stained for GATA3 and used for quantification.
Rohe-Ashraf-et-al-2025-BMC_Figure-S5_Transduction.zip
May 12, 2026 - Microscopic analysis of human ASC-derived kidney organoids for polycystic kidney disease modelling
ZIP Archive - 6.2 MB - MD5: d9e7c5a71221c4f871cb7841ba2404db
Immunofluorescence images of rAAV2/8-CMV-EGFP transduced dome and suspension tubuloids at P3D10.
Rohe-Ashraf-et-al-2025-BMC_Live-cell-imaging.zip
May 12, 2026 - Microscopic analysis of human ASC-derived kidney organoids for polycystic kidney disease modelling
ZIP Archive - 9.1 MB - MD5: a2268a907153af028653f55cb1b81406
Phase-contrast and fluorescent microscopy images of live suspension tubuloids at P3, stained with Calcein-AM.
Battery Impact of Individual Hardware Sensors in Modern iPhone Devices
Battery Impact of Individual Hardware Sensors in Modern iPhone Devices
May 8, 2026
Schweizer, Florian; Yu, Joe; Mille, Elena; Reimer, Lara Marie; Kapsecker, Maximilian; Klinker, Jens; Jonas, Stephan M., 2026, "Battery Impact of Individual Hardware Sensors in Modern iPhone Devices", https://doi.org/10.60507/FK2/LSJGWW, bonndata, V1
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 runnin...
02-10-2023-GPS.zip
May 8, 2026 - Battery Impact of Individual Hardware Sensors in Modern iPhone Devices
ZIP Archive - 2.9 MB - MD5: 0da1b2c52051afa04a6cc9d81e469f1f
02-11-2023-PDM.zip
May 8, 2026 - Battery Impact of Individual Hardware Sensors in Modern iPhone Devices
ZIP Archive - 596.8 KB - MD5: c11dcc02c531c4f186d3d86d04092aa9
04-09-2023-TDS.zip
May 8, 2026 - Battery Impact of Individual Hardware Sensors in Modern iPhone Devices
ZIP Archive - 60.8 KB - MD5: c20ab9213179bff588947efe2484856f
05-10-2023-GPS.zip
May 8, 2026 - Battery Impact of Individual Hardware Sensors in Modern iPhone Devices
ZIP Archive - 4.2 MB - MD5: e34b874875aba3b0f4ae51d70ad41c3e
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