Technical University of Darmstadt

TUdatalib Repository (TU Darmstadt)
Not a member yet
    1167 research outputs found

    Mapping of RO-Crate-based Datasets exported from eLabFTW to SHACL-based Metadata-Profiles

    No full text
    This entry contains the code for a prototypical implementation of mapping RO-Crate-based datasets exported from eLabFTW to SHACL-based metadata profiles. The different .eln-files contain an example-dataset exported from eLabFTW at different points in time. From those contents, all personal Information has been made anonymous. The .ttl-files contain the SHACL-shapes formalizing metadata profiles for the example-dataset, and the RDF-based metadata generated by the mapping script, respectively. The .jsonld-file contains a snapshot of the context-document of the metadata4ing vocabulary. The different .py-files contain the different modules and scripts for easier interfacing with the metadata4ing vocabulary, automated export of datasets via the eLabFTW REST API, as well as the mapping of exported datasets to RDF-based metadata conforming to the SHACL-shapes. The validation of the generated RDF-based metadata against the SHACL-based metadata profiles can be examined at https://s.zazuko.com/HzHjqt. Each file is described in more detail individually

    Movies: Jetting with gels

    No full text
    Movies associated with the publication “Jetting with gels: Soft microgel networks stabilize and extend nozzle-free water jets” (Atieh Razavi, Mehrzad Roudini, Andreas Winkler, Benno Liebchen, Regine von Klitzing, Suvendu Mandal, Amin Rahimzadeh) are provided below: 1) Jetting with pure water (Water.avi): A 10-μl water droplet forms a jet under SAW excitation and breaks up after reaching its maximum length (10.82 mm). 2) Jetting with microgels (Microgel.avi): A 10-μl soft microgel (MG1) droplet forms a jet under SAW excitation and breaks up after reaching its maximum length (15.59 mm). 3) Computer simulation of soft microgels (Soft.mp4): During elongation, two soft microgels (MG2) remain interconnected, maintaining continuous coverage of the air–water interface. 4) Computer simulation of stiff microgels (Stiff.mp4): Under identical conditions, two stiff microgels (MG10) lose contact and disentangle, exposing bare air–water interface

    Data for In-line Production Testing of Sandwich Panels using Air-Coupled Ultrasound

    No full text
    Lightweight steel-polyisocyanurate (PIR) foam sandwich panels are used in industrial construction of buildings, since they are inexpensive, easy to build, and have good insulation. However, air voids or delaminations in the foam core that form during production can negatively impact their structural properties. Detecting such defects in-process non-destructively during the production remains a challenge. This work uses air-coupled ultrasound for the in-line defect detection in steel-PIR sandwich panels, by exciting and receiving guided Lamb waves propagating in the steel face sheet to identify local amplitude changes caused by air voids in the foam core. Two systems are investigated: First, a laboratory prototype employing a transmission phased array together with a laser Doppler vibrometer (LDV) for reception at 40 kHz for comparison with previous work, and second, an industrial prototype better optimized for the production environment using air-coupled ultrasonic transducers for reception at 216 kHz. In total 49 artificial test defects, which are inserted into the production line, are evaluated for testing these systems. With the laboratory prototype employing the LDV, all tested artificial air void defects are detected by an approx. 25% amplitude change at the defect locations. The industrial prototype with the ultrasonic transducer for reception detected an amplitude increase of 10% to 40% at most of the test defects. These results demonstrate that air-coupled ultrasound enables non-destructive detection of foam defects under real production conditions.0.

    A Generic Model for pH-Sensitive Collapse of Hydrophobic Polymers

    No full text
    This dataset contains input scripts and files to generate the data for the publication titled "A Generic Model for pH-Sensitive Collapse of Hydrophobic Polymers"

    Evaluation: Transkript des Interviews mit der Gruppe "Wissensmanagement" der Bundesgesellschaft für Endlagerung

    Full text link
    Hintergrund: Im Rahmen des Dissertationsprojekts „XR-KIS: An Extended Reality-based Information System for Knowledge Management in Nuclear Facilities“ wurden zur Anforderungsanalyse sowie zur Evaluation Experteninterviews durchgeführt. Ziel der Evaluation war es, anhand der Umsetzung im Felslabor Mont Terri in der Schweiz zu ermitteln, inwieweit der entwickelte XR-KIS-Prototyp wie im Konzept vorgesehen auf verschiedene kerntechnische Anlagen anwendbar ist. Die Hälfte der Interviewpartner war bereits während der Anforderungsphase befragt worden, wodurch ein ausgewogenes Verhältnis zwischen Experten, die das Konzept von Anfang an kannten, und solchen, die die Anwendung erst nach ihrer Fertigstellung kennenlernten, gewährleistet ist. Zum Transkript "Interview mit der Gruppe "Wissensmanagement" der Bundesgesellschaft für Endlagerung": Die Wissensmanagement-Gruppe der Bundesgesellschaft für Endlagerung wurde 2019 als abteilungsübergreifende Einheit gegründet. Sie implementiert Werkzeuge des Wissensmanagements innerhalb der Bundesgesellschaft für Endlagerung. Das Interview war vor allem wichtig, um die mögliche Anwendung von XR-KIS in einem Endlager am Beispiel von Mont Terri zu diskutieren. Das Interview konzentrierte sich weitgehend auf das technische Konzept und den Aspekt der Langzeitarchivierung. Hinweis: Der/die Interviewpartner(in) hat/haben im Rahmen eines Autorisierungsprozesses sein/ihr schriftliches Einverständnis zur Veröffentlichung dieses anonymisierten Transkripts gegeben. Die deutsche Fassung stellt die Originalfassung dar

    ESI for "In situ vs ex situ: Comparing the structure of PNIPAM microgels at the air/water and air/solid interfaces"

    No full text
    This repository contains the data and code required to reproduce the analysis in "In situ vs ex situ: Comparing the structure of PNIPAM microgels at the air/water and air/solid interfaces". For the X-ray scattering measurements, all data pertaining to in situ and ex situ specular and off-specular measurements are included as well as the code required to plot and reproduce the analysis (MATLAB). For the AFM results, the binary images (Igor) and .png images for each AFM scan are included. The code required to reproduce the nearest-neighbour distances from the AFM data (Python) is also included

    Supporting Data for 'Ion-specific Stability of Gold Nanoparticle Suspensions'

    No full text
    The data consist of photos and UVvis absorption spectra of suspensions of gold nanoparticles (AuNPs) containing various sodium salts of different concentrations. The data are collected in 5 archives. The UVvis spectra are in one archive separated in four sub-directories, one for each AuNP type and one for salt-free suspensions. For each AuNP type spectra are collected in subfolders labeled by the aging time, 0 h, ... 72 h. Each spectrum (one AuNP type, one ion type, one salt concentration) is a separate csv-file with wavelength in the first column and corresponding absorption in the second column. The name of the files indicates the included anion and the salt concentration in mM. The salt-free spectra only contain info about the particle type (L and S for large and small; both with citrate capping) and the relative concentration of AuNPs (1.0 corresponding to the AuNP concentration in the salt-containing samples). The photos are divided into 4 archives, one for each AuNP type containing the photos for salt concentrations of 10 mM, 25 mM, and 50 mM, and a fourth with the photos of all AuNP types at 100 mM salt concentration. Photos were taken every 15 min. For better findability they are explicitly named for all times for which data is shown in the publication. Photos always have the same structure: suspensions with the same salt concentration are grouped together (into groups of 5 cuvettes, one for each salt). Usually, three groups are in one photo, which are the same AuNP type and increasing salt concentration from left to right. Only for the 100 mM salt concentration photos the groups are the different AuNP types. In that case, the photo name relates the groups to the AuNP type.1.

    Geovisuelle Ansätze zur Analyse von Raum-Zeit-Zusammenhängen in urbanen Anwendungsfällen – Ergänzende qualitative und quantitative Evaluationsdaten

    No full text
    Bei diesem Datensatz handelt es sich um die ergänzenden, qualitativen und quantitativen Forschungsdaten der Dissertation „Geovisuelle Ansätze zur Analyse von Raum-Zeit-Zusammenhängen in urbanen Anwendungsfällen“ von Alexander Rolwes. Konkrete Inhalte entnehmen Sie bitte der angehängten README.md

    Energy density of chemical energy carriers

    No full text
    How much energy can be stored in the volume of a water bottle? The figure shows the stored energy, weight, and temperature when storing different chemical energy carriers

    Improved lattice elongation for Fe8Nx (x > 1) thin films prepared via nitrogen ion implantation

    No full text
    This collection includes the dataset used for the publication linked in the entry description. It contains data form X-ray diffraction and SQUID magnetometry. Additional descriptions are provided to support data interpretation and analysis

    77

    full texts

    1,167

    metadata records
    Updated in last 30 days.
    TUdatalib Repository (TU Darmstadt)
    Access Repository Dashboard
    Do you manage Open Research Online? Become a CORE Member to access insider analytics, issue reports and manage access to outputs from your repository in the CORE Repository Dashboard! 👇