The OPARA service was recently upgraded to a new technical platform. You are visiting the outdated OPARA website. Please use https://opara.zih.tu-dresden.de/ for new data submissions. Previously stored data will be migrated in near future and then the old version of OPARA will finally be shut down. Existing DOIs for data publications remain valid.
    • ARRAY2019_MediaOpen Access Icon 

      Akkermann, Miriam; Akkermann, Miriam (Technische Universität DresdenThe International Computer Music Association, 2019)
      Editorial For the 2019 issue of Array, we focus on the idea of “Agency” in electronic and computer music, explored through the artistic and theoretical reflections of composers, performers, engineers, and musicologists. ...
    • DNA ruler measurement for accuracy and precision of multiwell plate smFRET experimentsOpen Access Icon 

      Schlierf, Michael (Technische Universität Dresden, 2023)
      HT3 data and analysed *.bin files for 96 measurement repeats A01 to H12 in a 96-well plate, multiparameter detection smFRET experiment. Data can be analysed and visualised using autoFRET package at https://github.com/Sch ...
    • Flow velocity tracking in thermal imageryOpen Access Icon 

      Lin, Dong (Technische Universität Dresden, 2018)
      Image data set to the submitted WRR publication ”Evaluating Image Tracking Approaches for Surface Velocimetry with Thermal Tracers“. Lab_Experiments_Data file folder includes eight image sequences acquired in lab ...
    • HistImage2021Open Access Icon 

      Maiwald, Ferdinand (Technische Universität Dresden, 2021)
      Supplementary image dataset of the ISPRS International Journal of Geoinformation publication "Fully Automated Pose Estimation of Historical Images in the Context of 4D Geographic Information Systems Utilizing Machine ...
    • Manually delineated glacier calving fronts of 23 Greenland and 2 Antarctic outlet glaciers from 2013 to 2021 and source code for automated extraction by deep learningOpen Access Icon 

      Loebel, Erik; Scheinert, Mirko; Horwath, Martin; Heidler, Konrad; Christmann, Julia; Phan, Long Duc; Humbert, Angelika; Xiao Xiang, Zhu (Technische Universität Dresden, 2022)
      Supplementary material to the manuscript: Loebel, E., Scheinert, M., Horwath, M., Heidler, K., Christmann, J., Phan, L., Humbert, A., Zhu, X. (2022): Extracting glacier calving fronts by deep learning: the benefit of ...