1. Data set from solute dye tracer tests at the Grimsel Test Site 

   Kittilä, Anniina; Jalali, Mohammadreza; Evans, Keith Frederick; et al. (2019)

   Dataset

2. Band and Correlated Insulators of Cold Fermions in a Mesoscopic Lattice 

   Lebrat, Martin; Grišins, Pjotrs; Husmann, Dominik; et al. (2018)

   Dataset

3. Floquet Dynamics in Driven Fermi-Hubbard Systems 

   Messer, Michael; Sandholzer, Kilian; Görg, Frederik; et al. (2018)

   Dataset

4. Automated and enhanced extraction of a small molecule-drug conjugate using an enzyme-inhibitor interaction based SPME tool followed by direct analysis by ESI-MS 

   Ghiasikhou, Sahar (2019)

   Dataset

5. Attosecond screening dynamics mediated by electron localization in transition metals 

   Volkov, Mikhail (2019)

   Dataset

6. Dataset on a meta-regression analysis on willingness to pay for local food 

   Printezis, Iryna; Grebitus, Carola; Hirsch, Stefan (2019)

   Dataset belonging to the paper Printezis, Grebitus, Hirsch (2019). The price is right!? A meta-regression analysis on willingness to pay for local food. PlosOne https://doi.org/10.1371/journal.pone.0215847. We study the literature on willingness to pay (WTP) for local food by applying meta-regression analysis to a set of 35 eligible research papers that provide 86 estimates on consumers’ WTP for the attribute “local.”

   Dataset

7. Dataset on simulated maize and winter wheat yields in Switzerland under current and future climate conditions 

   Schmid, Stéphanie; Finger, Robert (2008)

   The data collection contains datasets on simulated maize and winter wheat yields under current and future climate conditions based on the crop yield simulation model CropSyst. The data collection belongs to the following article: Finger, R., Schmid, S. (2008). Modeling Agricultural Production Risk and the Adaptation to Climate Change. Agricultural Finance Review 68 (1), 25-41. CropSyst was used simulate experiments considering different ...

   Dataset

8. Deep immune cell phenotypes encode personal health information 

   Severin, Yannik; Severin, Yannik (2019)

   Dataset

9. Ambient vibration characterization and monitoring of a rock slope close to collapse: seismic data 

   Burjánek, Jan; Gischig, Valentin; Moore, Jeffrey R.; et al. (2019)

   seismic data acquired on the Preonzo (Switzerland) rock slope instability

   Dataset

10. Synthetic ambient seismic vibration data at Walkerschmatt 

    Burjánek, Jan; Fäh, Donat (2019)

    synthetic seismic data modelled for the Walkerschmatt (Switzerland) rock slope instability

    Dataset

11. Instrumental evidence of normal mode rock slope vibration: seismic data 

    Burjánek, Jan; Moore, Jeffrey R.; Yugsi Molina, Freddy X.; et al. (2019)

    seismic data acquired on the Walkerschmatt (Switzerland) rock slope instability

    Dataset

12. Dataset: Multi–model evaluation of nitrous oxide emissions from an intensively managed grassland 

    Fuchs, Kathrin (2019)

    Data for the study: Multi–model evaluation of nitrous oxide emissions from an intensively managed grassland

    Dataset

13. Data from: Road expansion and persistence in forests of the Congo Basin 

    Kleinschroth, Fritz (2019)

    Dataset

14. Simulation data in the development of SOCOL-AERv2 

    Feinberg, Aryeh; Sukhodolov, Timofei; Luo, Bei-Ping; et al. (2019)

    Data files for the runs conducted in the development of SOCOL-AERv2, for Feinberg et al. : Improved tropospheric and stratospheric sulfur cycle in the aerosol-chemistry-climate model SOCOL-AERv2. Experiment numbers refer to the following simulations: 10100 - SHENG31 10101 - SOCOL-AERv1 10122 - DRYRAD 10123 - CONSERVE 10124 - CCMI 10125 - BNDLAYER 10126 - DRYDEP 10127 - WETDEP 10128 - AQCHEM 10129 - SOCOL-AERv2 10130 - AER-SCAV 10131 - ...

    Dataset

15. Photomineralization mechanism changes the ability of dissolved organic matter to activate cloud droplets and to nucleate ice crystals 

    Borduas-Dedekind, Nadine (2019)

    Dataset

16. Laboratory insight into seismic estimates of energy partitioning during dynamic rupture: An observable scaling breakdown 

    Selvadurai, Paul Antony (2019)

    Dataset

17. Fostering Innovation in Emerging Technologies 

    Zingg, Raphael (2019)

    Dataset

18. Magnetic resonance imaging of single bubbles injected into incipiently fluidized beds 

    Boyce, Christopher M.; Penn, Alexander; Lehnert, Maxim; et al. (2019)

    This data collection contains all data and Matlab scripts to generate the plots published in the paper. These data can be used to benchmark numerical simulations. If you use this dataset, please cite the original publication: https://doi.org/10.1016/j.ces.2019.01.047. Thank you.

    Dataset

19. Wake volume of injected bubbles in fluidized beds: A magnetic resonance imaging velocimetry study 

    Penn, Alexander; Boyce, Christopher M. (2019)

    This research dataset contains all data and scripts to generate the plots published in the paper: "Wake volume of injected bubbles in fluidized beds: A magnetic resonance imaging velocimetry study". The purpose of this datset is to facilitate the comparison with numerical simulations theoretical models. If you use this dataset, please cite the original paper: https://doi.org/10.1016/j.powtec.2019.02.021

    Dataset

20. Yield, phenology and weather data for 29 winter wheat producers in Germany for the period 1996-2010 

    Dalhaus, Tobias; Musshoff, Oliver; Finger, Robert (2018)

    Yield, phenology and weather data for 29 winter wheat producers in Germany for the period 1996-2010. For each year and farm, the following data is presented: A) wheat yield data, B) phenology data, C) rainfall data corresponding to different phenological phases Data has been published and used in the following article: Dalhaus, T., Musshoff, O., Finger, R. (2018). Phenology Information Contributes to Reduce Temporal Basis Risk in ...

    Dataset

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