7 Works

The Sentinel-1 Global Backscatter Model (S1GBM) - Mapping Earth's Land Surface with C-Band Microwaves

Bernhard Bauer-Marschallinger, Senmao Cao, Claudio Navacchi, Vahid Freeman, Felix Reuß, Dirk Geudtner, Björn Rommen, Francisco Ceba Vega, Paul Snoeij, Evert Attema, Christoph Reimer & Wolfgang Wagner
This dataset was generated by the Remote Sensing Group of the TU Wien Department of Geodesy and Geoinformation (https://mrs.geo.tuwien.ac.at/), within a dedicated project by the European Space Agency (ESA). Rights are reserved with ESA. Open use is granted under the CC BY 4.0 license. With this dataset publication, we open up a new perspective on Earth's land surface, providing a normalised microwave backscatter map from spaceborne Synthetic Aperture Radar (SAR) observations. The Sentinel-1 Global Backscatter...

Data from: Multi-electrode array for transcutaneous lumbar posterior-root stimulation

Matthias Krenn, Ursula S. Hofstoetter, Simon M. Danner, Karen Minassian & Winfried Mayr
Interest in transcutaneous electrical stimulation of the lumbosacral spinal cord is increasing in human electrophysiological and clinical studies. The stimulation effects on lower limb muscles depend on the depolarization of segmentally organized posterior root afferents and, thus, the rostro-caudal stimulation site. In previous studies, selective stimulation was achieved by varying the positions of single self-adhesive electrodes over the thoracolumbar spine. Here, we developed a multi-electrode surface array consisting of 3 × 8 electrode pads and...

Modelled emissions, river loads and river concentrations for PFOA and PFOS in 2016/2017 in Austrian surface waters

Steffen Kittlaus
The data set contains the emission per pathway into surface waters, the resulting annual river loads and the mean annual concentrations for the substances perfluorooctanoic acid (PFOA, CAS-No. 335-67-1) and perfluorooctanesulfonic acid (PFOS, CAS-No. 1763-23-1) for the years 2016 and 2017 modelled with the MoRE model (adapted from Fuchs et al. 2017) for Austria and some neighboring catchments. Three variants of model results are available in the data set: The Median model variant giving the...

Work-Based Learning in Manufacturing Industry

Steffen Nixdorf, Fazel Ansari, Sebastian Schlund, Matthias Wolf, Maria Hulla, Maximilian Papa, Sebastian Bardy, Antonio Kress & Jannik Rosemeyer
This dataset has been created by the IALF Working Group of Work-Based Learning. It consists of a meta analysis of work-based learning approaches in manufacturing, classified by type of work-based learning and manufacturing sector after NACE 2.

The Sentinel-1 Global Backscatter Model (S1GBM) - Polar Extension

Bernhard Bauer-Marschallinger, Senmao Cao, Claudio Navacchi, Vahid Freeman, Felix Reuß, Dirk Geudtner, Björn Rommen, Francisco Ceba Vega, Paul Snoeij, Evert Attema, Christoph Reimer & Wolfgang Wagner
This dataset was generated by the Remote Sensing Group of the TU Wien Department of Geodesy and Geoinformation (https://mrs.geo.tuwien.ac.at/), within a dedicated project by the European Space Agency (ESA). Rights are reserved with ESA. Open use is granted under the CC BY 4.0 license. With the recently published Sentinel-1 Global Backscatter Model (S1GBM) Version 1.0, we provide a new perspective on Earth's land surface through normalised microwave backscatter maps from Sentinel-1's Synthetic Aperture Radar (SAR)...

Innovative installation of soil moisture sensors in an indoor gravel lysimeter

Margaret Ellen Stevenson, Monika Kumpan, Franz Feichtinger, Andreas Scheidl & Peter Strauss
Aquifers of coarse gravel are an important source for drinking water; however, coarse sediments are also particularly susceptible to the rapid and long-range transport of pollutants through the vadose zone. Therefore, understanding the flow and solute transport in unsaturated gravel material is of utmost importance for the protection of drinking water resources. Experimental investigations of flow and transport processes are dependent on suitable sensor technology, but it is a considerable challenge to install soil moisture...

I Can Tell by Your Eyes! Continuous Gaze-Based Turn-Activity Prediction Reveals Spatial Familiarity

Negar Alinaghi
The data used for the analysis in the paper entitled "I Can Tell by Your Eyes! Continuous Gaze-Based Turn-Activity Prediction Reveals Spatial Familiarity" published in LIPIcs, Volume 240, COSIT 2022

Registration Year

  • 2022
    4
  • 2021
    1
  • 2020
    1
  • 2015
    1

Resource Types

  • Dataset
    7

Affiliations

  • TU Wien
    7
  • European Space Agency
    2
  • Graz University of Technology
    1
  • Medical University of Vienna
    1
  • TU Darmstadt
    1