Lower-level publication types

Recent Submissions 

  1. Thermal convection in porous media 

    Kong, Xiang-Zhao (2021)
    Data Collection
  2. Chemical Data and Field Measurements from Community-Based Water Quality Monitoring in Zimbabwe 

    Ruppen, Désirée; Chituri, Owen A.; Meck, Maideyi L.; et al. (2021)
    Dataset
  3. The Ice thickness of Chueboden glacier 

    Ogier, Christophe (2021)
    In November 2020, a large frontal piece of the lake-terminating Chueboden glacier calved off. This event raised questions on the glacier stability, and on the potential hazard constituted by the glacier-lake ensemble. On 31 March 2021, we conducted a ground penetrating radar(GPR) campaign to measure the glacier’s ice thickness. The acquired ice thickness observations were then interpolated to a spatial resolution of 5 m over 92% of the ...
    Data Collection
  4. SHAPE-ID Literature Review query strings for Web of Science and Scopus 

    Wciślik, Piotr; Maryl, Maciej; Vienni Baptista, Bianca; et al. (2020)
    <strong>Background and methodology:</strong> The document contains query strings which were used to generate bibliographic datasets in Scopus and Web of Science (WoS) databases for the qualitative and quantitative literature review in the framework of the SHAPE-ID project. Given that WoS and Scopus offer homologous search and filtering functionalities, same method was used to query both databases. The method consisted in four steps, each ...
    Dataset
  5. SHAPE-ID Literature Review dataset: bibliography on IDR/TDR 

    Wciślik, Piotr; Maryl, Maciej; Vienni Baptista, Bianca; et al. (2020)
    <strong>Background and methodology:</strong> The dataset consists of 5040 records of publication metadata (author, abstract, title, keywords, tags etc.), produced for the purposes of the systematic literature review in the framework of the SHAPE-ID project. In the course of the review Project team queried Web of Science (WoS), Scopus and JSTOR databases for records on interdisciplinarity and transdisciplinarity (IDR/TDR). In the case of ...
    Data Collection
  6. SHAPE-ID Literature Review dataset: journal occurrences with ASJC codes 

    Wciślik, Piotr; Maryl, Maciej; Vienni Baptista, Bianca; et al. (2020)
    <strong>Background and methodology:</strong> The dataset consists of a list of 2202 journal titles represented in the SHAPE-ID Literature Review bibliography, prepared for the purposes of quantitative analysis. The list of journals is based on 3955 journal articles in the bibliography dataset that had an International Standard Serial Number (ISSN). To each journal title the project team attributed: - a weight factor based on how many ...
    Dataset
  7. SHAPE-ID Literature Review dataset: subject co-occurrence matrix 

    Wciślik, Piotr; Maryl, Maciej; Vienni Baptista, Bianca; et al. (2020)
    <strong>Background and methodology:</strong> The subject co-occurrence matrix represents the pairs of All Science Journal Classification (ASJC) disciplines that co-occur in journals represented in the SHAPE-ID Literature Review dataset, prepared for the purposes of quantitative analysis. We take disciplinary affiliations of journals as a proxy of disciplinary characteristics of the journal articles in the Literature Review dataset, mindful ...
    Dataset
  8. Data: Time Preference and Environmental Policy Performance 

    Schaub, Sergei (2021)
    These datasets contain environmental policy performance, time preferences, and other national characteristics (e.g., GDP, democracy index, and air pollution) of countries across the globe. For more details, see Schaub 2021 and the README file. Code for analyzing the data as in Schaub (2021) is available at https://github.com/seschaub/eep_tp
    Dataset
  9. A Fluid Flow Data Set for Machine Learning 

    Jakob, Jakob; Gross, Markus; Günther, Tobias (2021)
    We provide a large fluid flow data set ready to be applied to deep learning problems. Parameterized by the Reynolds number, the data set contains a wide spectrum of laminar and turbulent fluid flow regimes. The full data set was simulated on a high-performance compute cluster and contains 8000 time-dependent 2D vector fields, accumulating to more than 16 TB in size.
    Dataset
  10. Virtual Reality Fruchterman-Reingold Visualization Unity Source Package 

    Kortemeyer, Gerd (2021)
    Source package for the immersive, dynamic visualization of undirected, weighted graphs. Using the Fruchterman-Reingold method, force-directed graphs are drawn in a Virtual-Reality system. The user can walk through the data, as well as move vertices using controllers, while the network display rearranges in realtime according to Newtonian physics.
    Software
  11. Effects of the Pliensbachian–Toarcian Boundary Event on carbonate productivity of a Tethyan platform and slope 

    Fleischmann, Sarah; Picotti, Vincenzo; Rugenstein, Jeremy Kesner Caves; et al. (2021)
    Data Collection
  12. XML-Datenset zu den stiftlichen Lesespuren in Thomas Manns Nachlassbibliothek 

    Bamert, Manuel; Schönbächler, Martina (2021)
    Dieses Datenset, bestehend aus einem ZIP-komprimierten Ordner mit 4178 XML-Dateien, bildete die Grundlage für quantitative Auswertungen in der Dissertation «Stifte am Werk. Phänomenologie, Epistemologie und Poetologie von Lesespuren am Beispiel der Nachlassbibliothek Thomas Manns». Jede XML-Datei entspricht einem physischen Bibliotheksexemplar. Die Dateien enthalten die exemplarspezifischen bibliografischen Metadaten und die in einem ...
    Dataset

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