Research Data TUHH

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This collection contains data sets from the research of the Hamburg University of Technology.


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  • Research Data
    Geotechnical Laboratory Investigation on the Baltic Sea Sand Sample Z_VC_011
    (2023-08-31) ;
    Banduch, Markus
    This dataset includes geotechnical laboratory tests conducted on a Baltic Sea sand sample (Core Z_VC_011) from the Falster-Rügen Plate, extracted using a vibracorer. The dataset comprises grain size distribution (sieve analysis), density determination at the loosest and densest packing, one oedometer test (CRS), and three CD triaxial tests (50, 100, and 200 kPa consolidation pressure) as well as three triaxial tests with deformation reversal (0, 90, and 180 °). All laboratory tests were carried out according to current standards. An accompanying explanatory document is included. These data form the basis for determining hypoplastic constitutive parameters for modeling the structure-soil interaction in the Baltic Sea region.
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  • Research Data
    Sediment samples from the weser estuary - lab generated time dependend density profiles and lutocline evolution
    As part of the FAUST project, both field and laboratory investigations were conducted on the sediment exchange behavior of cohesive sediments in the Weser estuary. A particular focus of the work was the examination of vertical exchange processes at the interface between the water column and highly concentrated suspensions. Since the transitions between the sub-processes of sediment exchange are partially fluid or directly connected, investigations were carried out not only on the predominant aspects of settling and erosion behavior but also on consolidation behavior and rheology of cohesive sediments. The methodology to generate the density profiles is described in the corresponding publication, where the results were published and discussed first hand ( In general, an Anton Paar DMA Standard Densimeter has been used to measure the suspensions densities. For very high (approx. >1300 kg/m³) densities a suspension balance has been used as alternative. Lutocline evolution curves are generated by digitization of photographic observations of the lutoclines evolution over time. Information on the composition (approximate fractions of sand, silt and clay) of the sediments used is also given in Data abbreviations are location based: BB - Blexer Bogen, NH - Nordenham, H - Harbour, S - Ship, L - Laboratory, MW - Measurementtrip Weser; Numbers are sample and field trip specific. Natural profiles: e.g. MW-II, NH-13H: Sample number 3 from the second field trip (first 0, second 1,...) on the Weser (MW-II) collected at Position Nordenham. Density profile generated immediately after returning in the harbour (H). Lab generated development of density-depth-profiles: e.g. BB-05 rho_0 = 1065 kg/m³: Sample number 5 from the first field trip on the Weser collected at Position Blexer Bogen having an initially homogeneous density profile of rho_0 = 1065 kg/m³
      118  72
  • Research Data
    Supplementary material (Version 2) to publication with title: Development of a tree-support software module for PBF-LB/M
    The goal of this work was to develop a tool that allows users with little experience to manufacture components with efficient support structures using PBF-LB/M. Tree shaped structures were used and created via algorithmic, biological growth using botanical methods. TO was used to optimize the support structures. The generated trees were then compared to two commercially available supports using FEA to simulate the whole PBF-LB/M process including a stress relief heat treatment and the removal of the part from build plate and supports. The data is supplementary material to the publication with the title " Development of a tree-support software module for PBF-LB/M " of the conference Laser in Manufacturing (LiM) 2023, 26 - 29 July 2023, Munich/Germany.
      133  25
  • Research Data
    Daten zur Umfrage: Vorbeugender Grundwasserschutz - Anpassung der Landbewirtschaftung zur Reduzierung der Nitratverunreinigung im Grundwasser
    This is data on an expert survey conducted in 2019 at the Institute of Wastewater Management and Water Protection in Hamburg Germany. The aim of this survey was to identify ways to adapt agriculture to reduce nitrate inputs to groundwater. Additionally, it was intended to investigate whether organic farming is the solution to the nitrate problem in groundwater, whether far more measures are needed, or even fewer regulations are enough. Furthermore, factors influencing a conversion to organic farming were considered. The survey included 14 questions and was distributed directly by email to individuals and through associations and other technical channels. A total of 30 individuals from water management (n = 8), agriculture (n = 15), water as well as agriculture (n = 3), and other disciplines (n = 4) responded to the survey. The survey results were processed in detail in a master's thesis. Part of the results were presented at the „32. Hamburger Kolloquium zur Abwasserwirtschaft“ at TUHH in the talk „Zukunftssicherung von Wasser und Nahrung: Förderung wassergerechter Landwirtschaft durch die Wasserwirtschaft“ and published in the conference proceedings: 32. Hamburger Kolloquium zur Abwasserwirtschaft, Band Nr. 107. Hamburg: GFEU (Hamburger Berichte zur Siedlungswasserwirtschaft) , S. 63–79, ISBN: 978-3-942768-32-0. This dataset contains the questionnaire "20230220_Umfrage.pdf," a complete listing of all answers "20230628_umfragedaten_full" (.ods and .xlsx), and a tidy-sheet excluding the direct text answers "20230628_umfragedaten_tidy.csv". Details on the data are described in the "20230630_Umfrage_Readme_v1.pdf" including a codebook for the csv file. All files are available in German only.
      81  26
  • Research Data
    Role of slice thickness quantification in the 3D reconstruction of FIB tomography data of nanoporous materials
    This dataset contains synthetic structures of hierarchical nanoporous gold, which mimics real hierarchical nanoporous gold structures, segmentation results and repositioned interpolated structures of the real hierarchical nanoporous gold dataset and trained weights of machine learning model used for interpolation. For more information, please refer to the published research article: Role of slice thickness quantification in the 3D reconstruction of FIB tomography data of nanoporous materials.
      111  25