Lower-level publication types

Recent Submissions 

  1. 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
  2. Underlying and Resulting Data of Sentiment Analysis on Tweets about CRISPR/Cas9 

    Schneider, Manuel; Müller, Martin (2019)
    Partial, labelled and anonymised tweet objects, output from the annotation process and resulting machine learning models.
    Data Collection
  3. Data for the article "Terrestrial Water Loss at Night: Global Relevance from Observations and Climate Models" 

    Padrón, Ryan S.; Michel, Dominik; Gudmundsson, Lukas; et al. (2019)
    Pre-processed hourly data from the co-located lysimeter and EC tower at Rietholzbach during the period 2010-2018, as well as accompanying meteorological data.
    Data Collection
  4. 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
  5. PhenoCam Dataset v2.0: Vegetation Phenology from Digital Camera Imagery, 2000-2018 

    RICHARDSON, A.D.; HUFKENS, K.; MILLIMAN, T.; 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
  6. 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
  7. 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
  8. Development of the DRoplet Ice Nuclei Counter Zürich (DRINCZ): Validation and application to field collected snow samples 

    David, Robert O.; Cascajo Castresana, Maria; Brennan, Killian P; et al. (2019)
    Dataset
  9. Urban Tethys-Chloris (UT&C v1 

    Meili, Naika; Fatichi, Simone (2019)
    Urban Tethys-Chloris (UT&C v1.0) is a mechanistic urban ecohydrological model combining principles of ecohydrological land surface modelling with urban canopy modelling. UT&C is a fully coupled energy and water balance model that calculates 2 m air temperature, 2 m humidity, and surface temperatures. It explicitly resolves biophysical and ecophysiological characteristics of ground vegetation, urban trees, and green roofs and models all ...
    Model
  10. Two-mode Dicke model from non-degenerate polarization modes 

    Morales, Andrea; Dreon, Davide; Li, Xiangliang; et al. (2019)
    Dataset
  11. Dataset to "Ultra-wideband angle of arrival estimation based on angle-dependent antenna transfer function" 

    Ledergerber, Anton (2019)
    This document describes the data presented in A. Ledergerber, R. D’Andrea, ”Ultra-wideband angle of arrival estimation based on angle-dependent antenna transfer function, ” submitted to Sensors, 2019, which can be cited if the data is used in another publication.
    Dataset

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