Archives

  • 2018-07
  • 2018-10
  • 2018-11
  • 2019-04
  • 2019-05
  • 2019-06
  • 2019-07
  • 2019-08
  • 2019-09
  • 2019-10
  • 2019-11
  • 2019-12
  • 2020-01
  • 2020-02
  • 2020-03
  • 2020-04
  • 2020-05
  • 2020-06
  • 2020-07
  • 2020-08
  • 2020-09
  • 2020-10
  • 2020-11
  • 2020-12
  • 2021-01
  • 2021-02
  • 2021-03
  • 2021-04
  • 2021-05
  • 2021-06
  • 2021-07
  • 2021-08
  • 2021-09
  • 2021-10
  • 2021-11
  • 2021-12
  • 2022-01
  • 2022-02
  • 2022-03
  • 2022-04
  • 2022-05
  • 2022-06
  • 2022-07
  • 2022-08
  • 2022-09
  • 2022-10
  • 2022-11
  • 2022-12
  • 2023-01
  • 2023-02
  • 2023-03
  • 2023-04
  • 2023-05
  • 2023-06
  • 2023-08
  • 2023-09
  • 2023-10
  • 2023-11
  • 2023-12
  • 2024-01
  • 2024-02
  • 2024-03
  • br Data The physical data

    2018-10-25


    Data The physical data for input parameters of different materials used for designing a highly efficient CIGS solar cell have been presented in Table 1. Along with this dataset, the contact parameters and the conditions under which the simulation was conducted have been demonstrated in Tables 2 and 3 respectively. All of these data has been extracted from the published literatures [1–9]. Fig. 2 and Table 4 describe the performance measurement parameters of the optimized CIGS absorber based photovoltaic cell.
    Experimental design, materials and methods
    Acknowledgements
    Data This dataset is derived from a needle-tissue interaction experiment, in which the inner needle of an 18 G trocar needle with triangular tip was inserted multiple times into two ex-vivo human livers. Data include for each of the 39 insertions:
    Experimental design, materials and methods For a detailed description of the experimental set-up, please refer to [1].
    Acknowledgements This work was supported by the Dutch Technology Foundation STW [nr. 12709].
    Data
    Experimental design, materials and methods
    The gender of the children was recorded. The children were scanned in a standing position with a Vitus Smart 3D body scanner from Human Solutions. The scanner is a non-intrusive laser system formed by four columns allocating the optic system. It moves from the head to the feet in ten seconds performing a sweep of the body. A head cap and tight underwear were worn by children for scanning. A total of 34 anthropometric measurements were estimated semi-automatically with digital tape measurement software, combining automatic measurements based on geometric characteristic points with a manual review. Furthermore, for making easier the measurement extraction, various physical markers were fixed during the scanning process and virtual landmarks were also determined on the children׳s scans. Note that we have discarded several variables of the whole set of 34 variables, such as ankle perimeter, since they buy AVE 0991 do not have influence in the fitting of the t-shirt according to design experts. So, the data set include a total of 27 anthropometric variables, whose meaning can be seen in Table 1. Remember that these variables are the difference between the mannequin of the tested size measurements and the child׳s anthropometric measurements in millimeters. Table 2 shows the rest of the variables for each observation.The data set was analyzed in [2]. The R code for analyzing the data set as made in [2] can be found in http://www3.uji.es/~epifanio/RESEARCH/ensemble.rar. Tables of body dimensions by size according to ASEPRI can be found in [3]. The collection of mannequins matches these measurements. As regards the garment sizes, Tables 3 and 4 report the measurements that provide a good fit according to the brand׳s size chart for each size for boys and girls, respectively.
    Acknowledgements
    Data
    Experimental design, materials and methods
    Acknowledgements The Nordic44 data and model reported in this paper were used in the iTesla project (iTesla) [3] to carry out simulations within a dynamic security assessment toolset (iTesla, 2016) [4]. The raw, processed data and output models utilized within the iTesla platform [4]. The Modelica modeling has been further enhanced during the ITEA3 OpenCPS project (iTEA3) [5]. iTesla (2016) [4] are also available in the repository. The CIM and Modelica snapshots of the “Nordic 44” model for the year 2015 are available in a Zenodo repository (see [2]). Therefore, the authors would like to acknowledge the contributions of Emil Hillberg of STRI that during the FP7 iTesla project by provided the source files for the Nordic 44 model and his suggested modifications to digestive system as described in Section 1.2, step (a). The financial support from following funding bodies and projects is gratefully acknowledged:
    Data 755 groups splitting tensile strength test data of MSC were assembled from 41 experimental studies [1–41] including detailed properties of raw materials and mix proportions as well as basic properties of fresh and hardened MSC, which were collected from authors’ experiments and other researches presented.