Technische Universiteit Delft

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  • The equivalent true stress-logarithmic strain curves obtained from the compression tests at different temperatures and strain rates. Nine different deformation temperatures, namely 323, 373, 473, 573, 673, 773, 873, 973, and 1073 K, and three different strain rates, namely 0.01, 0.1, and 1.0 s-1, were used in compression tests. All tests were performed at isothermal loading conditions. The uniaxial compression tests were performed in a Bahr DIL 805A/D deformation dilatometer. Cylindrical specimens with a diameter of 3 mm and a height of 6 mm were extracted by wire electrical discharge machining from the as-delivered hot-rolled sheet along the rolling direction.
    Data Types:
    • Tabular Data
    • Dataset
  • The equivalent true stress-logarithmic strain curves obtained from the compression tests at different temperatures and strain rates. Nine different deformation temperatures, namely 323, 373, 473, 573, 673, 773, 873, 973, and 1073 K, and three different strain rates, namely 0.01, 0.1, and 1.0 s-1, were used in compression tests. All tests were performed at isothermal loading conditions. The uniaxial compression tests were performed in a Bahr DIL 805A/D deformation dilatometer. Cylindrical specimens with a diameter of 3 mm and a height of 6 mm were extracted by wire electrical discharge machining from the as-delivered hot-rolled sheet along the rolling direction.
    Data Types:
    • Tabular Data
    • Dataset
  • This data set contains reference glow curves
    Data Types:
    • Software/Code
    • Tabular Data
    • Dataset
    • Document
  • Atomic force microscopy images from the manuscript: 'DNA sequence-directed cooperation between nucleoid-associated proteins'
    Data Types:
    • Other
    • Image
    • Dataset
  • Material for parameter estimation and optimization of enzyme production in fed-batch mode.
    Data Types:
    • Dataset
    • File Set
  • Zeta potential AG is the data used for figures 3,4, 5 and 6 summary ZetaCompact is the data used for figure 7.
    Data Types:
    • Tabular Data
    • Dataset
  • The data set contains planning data and program codes for the prototyping of a cyber-physical facade system. A 3D model is provided both in the exchange format .obj and in the Rhinoceros format .3dm. it contains all components developed for the implementation of the prototype. The 3D model is also used for the development of a digital twin in the programming language Processing. The code for the digital twin is part of the data set. The represented façade functions of the prototype are controlled by embedded Node MCU microcontrollers. The program codes dor the microcontrollers are provided and structured according to the respective facade function.
    Data Types:
    • Other
    • Software/Code
    • Dataset
    • Text
  • MATLAB source code to reproduce the results in [1] by generating simulated atrial electrograms and implementing the proposed deconvolution approach to estimate local electrograms and LATs How to use it? in two steps: First simulate data by running "run_data_simulation.m". you can skip this part and use the simulated data in "data" folder to reproduce the images and results for tissue T4 in figure 2 of [1] Second run "run_transCurr_and_LAT_estimation.m" to implement deconvolution and LAT estimation, [1] B. Abdi, R. C. Hendriks, A.-J. van der Veen, and N. M. de Groot, "Improved Local Activation Time Annotation in Fractionated Atrial Electrograms Using Deconvolution", under review
    Data Types:
    • Dataset
    • File Set
  • The dataset consisted of raw and analysed data over airport location in Europe, Larger Urban Zones (LUZ), land cover, road network betweenness, and airport typologies - obtained by the employment of hierarchical cluster analysis over the kernel density of the aboved-mentioned datasets.
    Data Types:
    • Dataset
    • File Set
  • This research data are the data using in the paper, including buried depth and lithological characters of shale sample, the Total Organic Carbon content, tested helium porosity, fossil information, mineral composition measured by X-ray diffraction (XRD), and the used trace elements obtained by inductively coupled plasma atomic emission spectrometry (ICP–AES). It costs 13 months to take samples and conduct geochemical and mineralogical tests. All the expenditure were funded and supported by the National Science and Technology Major Project of the Ministry of Science and Technology of China (2016ZX05006-006-001). The PetroChina Jidong Oilfield Company provided great support on the core sampling and experiments in this study.
    Data Types:
    • Tabular Data
    • Dataset
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