Recent Submissions 

  1. MEP neurofeedback paper data 

    Ruddy, Kathy (2018)
    Dataset
  2. Drosophila suzukii in Swiss berry production – Data from a survey on risk management strategies in 2017 

    Knapp, Ladina; Bravin, Esther; Meraner, Manuela; et al. (2018)
    The here presented dataset is based on a survey that was conducted with Swiss berry growers with the specific aim to identify risk management strategies taken in response to Drosophila suzukii as well as to survey perceived infestation levels and harvest losses. The survey was conducted from mid-October 2017 to end of November 2017 and questions were related to the berry harvest of 2017 with in total 50 responses. Farm and farmers’ ...
    Dataset
  3. Drosophila suzukii in Swiss grape production – Data from a survey on risk management strategies in 2017 

    Knapp, Ladina; Bravin, Esther; Finger, Robert (2018)
    The here presented dataset is based on a survey that was conducted with Swiss grape growers with the specific aim to identify risk management strategies taken in response to Drosophila suzukii as well as to survey perceived infestation levels and harvest losses. The survey was conducted in December 2017 and questions were related to the grape harvest of 2017 with in total 331 responses. Farm and farmers’ characteristics were collected and ...
    Dataset
  4. Rietholzbach catchment data (Hirschi et al. 2017, HESS) corrigendum 

    Hirschi, Martin; Michel, Dominik; Lehner, Irene; et al. (2018)
    Dataset
  5. Drosophila suzukii in Swiss cherry production – Data from a survey on risk management strategies in 2017 

    Knapp, Ladina; Bravin, Esther; Meraner, Manuela; et al. (2018)
    The here presented dataset is based on a survey that was conducted with Swiss cherry growers with the specific aim to identify risk management strategies taken in response to Drosophila suzukii as well as to survey perceived infestation levels and harvest losses. The survey was conducted from mid-August 2017 to mid-September 2017 and questions were related to the cherry harvest of 2017 with in total 94 responses. Farm and farmers’ ...
    Dataset
  6. Research Data supporting: "Antireflective nanocoatings for UV-sensation: the case of predatory owlfly insects" 

    Kryuchkov, Mikhail; Lehmann, Jannis; Schaab, Jakob; et al. (2018)
    Dataset
  7. Microseismicity observed during hydraulic stimulations at the Grimsel Test Site 

    Villiger, Linus; Gischig, Valentin; Doetsch, Joseph; et al. (2018)
    Dataset
  8. Pose Detection Frame Sequences for CBinfer Evaluations 

    Cavigelli, Lukas; Benini, Luca (2018)
    Dataset
  9. Supplementary Material to: "MLBench: Benchmarking Machine Learning Services Against Human Experts" 

    Liu, Yu (2018)
    Modern machine learning services and systems are complicated data systems — the process of designing such systems is an art of compromising between functionality, performance, and quality. Providing different levels of system supports for different functionalities, such as automatic feature engineering, model selection and ensemble, and hyperparameter tuning, could improve the quality, but also introduce additional cost and system complexity. ...
    Dataset
  10. Modelling and Design of Thin Bending Wooden Bilayers - Data 

    Grönquist, Philippe (2018)
    Dataset
  11. Deterring delinquents with information 

    Nussio, Enzo; Norza Céspedes, Ervyn (2018)
    Dataset
  12. Research Daten zu: Das Zürcher Formel E Rennen im öffentlichen Meinungsbild 

    Brückmann, Gracia; Huber, Robert A.; Bernauer, Thomas (2018)
    Daten zur repräsentativen Befragung von 1209 volljährigen Personen aus dem Kanton Zürich und den umliegenden Kantonen im Zeitraum 15. – 31. Mai 2018.
    Dataset
  13. Research Data supporting "A new interpretative framework for below-cloud effects on stable water isotopes in vapour and rain" 

    Graf, Pascal; Bertolini, Patrick; Aemisegger, Franziska; et al. (2018)
    Abstract. Raindrops interact with water vapour in ambient air while sedimenting from the cloud base to the ground. They constantly exchange water molecules with the environment and, in sub-saturated air, they evaporate partially or entirely. The latter of these below-cloud processes is important for predicting the resulting surface rainfall amount and it influences the boundary layer profiles of temperature and moisture through to evaporative ...
    Dataset
  14. The Bayesian Poisson Rasch Model, Data 

    Mutz, Rüdiger (2018)
    Regarding evaluation of individual researchers, the bibliometric indicators approach has been increasingly discussed recently, but there are some problems involved with it: construct definition, measurement errors, level of scale, dimensionality, normalization. Based on a psychometric model, the Rasch model, we developed a measuring scale for the theoretical construct ‘researcher’s performance capacity,’ defined as the competency of a ...
    Dataset

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