Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-9403
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Main Title: Black Mice Dataset v1
Author(s): Hohlbaum, Katharina
Andresen, Niek
Wöllhaf, Manuel
Lewejohann, Lars
Hellwich, Olaf
Thöne-Reineke, Christa
Belik, Vitaly
Type: Image
Is Supplement To: https://doi.org/10.1101/582817
Language Code: en
Abstract: The “Black Mice Dataset” is a large set of images of C57BL/6JRj mice and a corresponding “well-being” label. It encompasses images of mice that have (or have not) undergone different procedures that impaired their well-being. Images were taken at different points in time before and after the procedures. The images were obtained within the framework of a project, in which the impact of procedures frequently performed in animal experimentation on the well-being and stress levels of mice was systematically assessed by using the mouse Grimace scale (MGS), among other animal-based parameters. According to the treatment of the mice, the data set is divided into the three subsets: KXN (ketamine/xylazine anesthesia), IN (inhalation anesthesia with isoflurane), and C (castration). Animal experimentation was performed according to the guidelines of the German Animal Welfare Act and the Directive 2010/63/EU for the protection of animals used for scientific purposes. Maintenance of mice and all animal experimentation were approved by the Berlin State Authority (“Landesamt für Gesundheit und Soziales”, permit number: G0053/15).
URI: https://depositonce.tu-berlin.de/handle/11303/10451
http://dx.doi.org/10.14279/depositonce-9403
Issue Date: 2019
Date Available: 22-Jan-2020
DDC Class: 004 Datenverarbeitung; Informatik
570 Biowissenschaften; Biologie
599 Mammalia (Säugetiere)
005 Computerprogrammierung, Programme, Daten
Subject(s): facial expression recognition
mouse face
mouse Grimace scale
C57BL/6JRj
anesthesia
surgery
Sponsor/Funder: BMBF, 031A262A, Innovation in der 3R-Forschung: Gentechnik, Tissue Engineering und Bioinformatik
DFG, EXC 2002, 390523135, Science of Intelligence (SCIoI)
License: https://creativecommons.org/licenses/by/4.0/
Appears in Collections:EXC - SCIoI » Research Data

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