Recent Submissions 

  1. Dataset for "Synchrotron-based pore-network modeling of two-phase flow in Nubian Sandstone and implications for capillary trapping of carbon dioxide" 

    Hefny, Mahmoud (2019)
    This is the dataset, which is associated with the Publication of M. Hefny, C.-Z. Qin, M.O. Saar, and A. Ebigbo: Synchrotron-based pore-network modeling of two-phase flow in Nubian Sandstone and implications for capillary trapping of carbon dioxide. The measurements were acquired as part of a NubiaStore research project in the framework of the doctoral thesis for M. Hefny. This dataset includes all the individual raw data, experimental ...
    Dataset
  2. Trait Spotting Dataset 1: Early growth of wheat 

    Roth, Lukas (2019)
    Dataset
  3. Timing of low flows and climate drivers across Switzerland 

    Floriancic, Marius (2019)
    The dataset provided was compiled as part of the PhD Thesis “Characterizing low flows in Switzerland – From field investigations at catchment scale to Swiss wide data evaluation. – accessible in the ETH Research Collection https://www.research-collection.ethz.ch/handle/20.500.11850/371948).
    Dataset
  4. Discharge and streamwater chemistry data from Swiss catchments during low flows in 2015 & 2016 

    Floriancic, Marius (2019)
    The dataset provided was collected as part of the PhD Thesis “Characterizing low flows in Switzerland – From field investigations at catchment scale to Swiss wide data evaluation. – accessible in the ETH Research Collection https://www.research-collection.ethz.ch/handle/20.500.11850/371948).
    Dataset
  5. Dataset: Sentinel-1 change detection mosaic of Switzerland for the avalanche event of January 4th 2018 

    Leinss, Silvan; Holenstein, Sämi; Wicki, Raphael (2019)
    Each 12 Sentinel 1 dual polarization radar images from before and from after the avalanche event around 2018-01-04 were composed into a single image covering entire Switzerland. The backscatter intensity of the two polarizations VV and VH were averaged (in linear units) and the orthorectified data of different ascending and descending orbits were averaged (in dB).
    Dataset
  6. Process patents 

    Banholzer, Nicolas; Behrens, Vanessa; Feuerriegel, Stefan; et al. (2019)
    The dataset contains the outcome of a large classification exercise. It contains patent filings at the European Patent Office and the United States Patent and Trademark Office and its corresponding "process shares" which is calculated with different methods. The process share indicates to which degree a patent is a process patent rather than a product patent. The shares have been calculated based on the classification of patent claims ...
    Dataset
  7. Dataset to regimes of jetting and bubbling in a fluidized bed studied using real-timemagnetic resonance imaging 

    Penn, Alexander (2019)
    This research dataset contains Matlab scripts and MR images that were used to generate Figs. 4 - 7 and Fig. S1 of https://doi.org/10.1016/j.cej.2019.123185. Feel free to use the MR image series for your research projects. If so, please cite https://doi.org/10.1016/j.cej.2019.123185. For further information or assistance please contact Alexander Penn at his email (current email address: apenn@ethz.ch)
    Dataset
  8. Data for 'Schaub et al. Plant diversity effects on forage quality, yield and revenues of semi-natural grasslands' 

    Schaub, Sergei; Finger, Robert; Leiber, Florian; et al. (2019)
    This dataset contains measurements of above ground biomass yield and various forage quality variables of the subplots of the Management Experiment set up within the Main Experiment plots of a large grassland biodiversity experiment (the Jena Experiment; Roscher et al. 2004, Weigelt et al. 2009). In the main experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, ...
    Dataset
  9. Data on the efficacy and costs of different weed control strategies in Swiss wheat production 

    Böcker, Thomas; Finger, Robert (2019)
    Data on the efficacy and costs of different weed control strategies in Swiss wheat production Authors: Thomas Böcker & Robert Finger, Agricultural Economics and Policy Group, ETH Zürich This content belongs to the following publication: Böcker, T., Möhring, N., Finger, R. (2019). Herbicide free agriculture? A bio-economic modelling application to Swiss wheat production. Agricultural Systems 173, 378-392. The model used in this paper ...
    Dataset
  10. PhenoCam Dataset v2.0: Vegetation Phenology from Digital Camera Imagery 2000-2018 

    Seyednasrollah, Bijan; Wolf, Sebastian; et al. (2019)
    This data set provides a time series of vegetation phenological observations for 393 sites across diverse ecosystems of the world (mostly North America) from 2000-2018. The phenology data were derived from conventional visible-wavelength automated digital camera imagery collected through the PhenoCam Network at each site. From each acquired image, RGB (red, green, blue) color channel information was extracted and means and other statistics ...
    Dataset
  11. FLUXNET2015 PA-SPs Sardinilla-Pasture 

    Wolf, Sebastian; Eugster, Werner; Buchmann, Nina (2016)
    This is the FLUXNET2015 version of the carbon flux data for the site PA-SPs Sardinilla-Pasture.
    Dataset
  12. FLUXNET2015 PA-SPn Sardinilla Plantation 

    Wolf, Sebastian; Eugster, Werner; Buchmann, Nina (2016)
    This is the FLUXNET2015 version of the carbon flux data for the site PA-SPn Sardinilla Plantation.
    Dataset
  13. Planetary Soil Impact Dataset (PALPATE) - Dataset 

    Kolvenbach, Hendrik; Bärtschi, Christian; Wellhausen, Lorenz; et al. (2018)
    The Planetary Soil Impact Dataset (PALPATE) is a dataset recorded to demonstrate the applicability of machine learning methods to classify the complex feet-soil interaction on fine-grained soils. The dataset consists of 2600 feet-soil impacts, which were automatically executed and recorded with a specially designed testbed. Impacts were performed on a variety of Martian soil simulants, such as ES-1, ES-2, ES-3 and other. The dataset ...
    Dataset

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