Repository for Publications and Research Data

Search ETH Zurich’s Research Collection for scientific publications and research data or submit your own research output. Read more

News 

Activation of Web of Science and Scopus imports

From now on, new journal and conference contributions are imported automatically from Scopus and Web of Science to the Research Collection if at least one author from ETH Zurich has contributed to the publication. Please note that you still need to add your organizational code to these items in order for them to appear in your academic report or on your website. Read more

Book a Librarian: Research Collection for AAA and AEM

The ETH Library offers free, personal consultations for members of ETH Zurich that record publications for the Annual Academic Achievements or for their AEM websites. Read more

New information by the SNSF on Data Management Plans (DMP) and Open Research Data (ORD)

As of October, data management plans are mandatory for each new project funding application submitted to the Swiss National Science Foundation (SNSF). Read more

Recently Added 

  1. An efficient distribution method for nonlinear two-phase flow in highly heterogeneous multidimensional stochastic porous media 

    Ibrahima, Fayadhoi; Tchelepi, Hamdi A.; Meyer, Daniel W. (2017)
    Computational Geosciences
    Journal Article
  2. Sediment transport through the power waterway and hydro-abrasive erosion on turbines 

    Felix, David; Albayrak, Ismail; Boes, Robert Michael; et al. (2017)
    Conference Proceedings
  3. Rapid Determination of Boron Traces in Silicate Materials 

    Farzaneh, Abbas; Troll, Georg; Neubauer, Wolfram (1979)
    Fresenius' Zeitschrift für analytische Chemie
    Journal Article
  4. Validation approaches of an expert-based Bayesian Belief Network in Northern Ghana, West Africa 

    Kleemann, Janina; Celio, Enrico; Fürst, Christine (2017)
    Ecological modelling
    Model validation is a precondition for credibility and acceptance of a model. However, it appears that there is no scientific standard for validation of Bayesian Belief Networks (BBNs). In this paper, we present a novel combination of BBN validation approaches. A set of qualitative and quantitative validation approaches for the BBN structure, the Conditional Probability Tables and the BBN output is presented and discussed. The validation ...
    Journal Article

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