Published June 17, 2021 | Version 2.0
Dataset Open

Dipole localisation predictions data set

  • 1. I-BioStat, Data Science Institute, Hasselt University, 3500 Hasselt, Belgium.
  • 2. Delft Center for Systems and Control, Delft University of Technology, Delft, The Netherlands.
  • 3. Bernoulli Institute of Mathematics, Computer Science and Artificial Intelligence, Faculty of Science and Engineering, University of Groningen, Groningen, The Netherlands.

Description

This data set contains prediction of ten dipole localisation algorithms computed using a simulated artificial lateral line (potential flow).

Files

dipole localization predictions.zip

Files (448.6 MB)

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Additional details

Related works

Is compiled by
Software: 10.5281/zenodo.4973515 (DOI)
Is documented by
Journal article: 10.3390/s21134558 (DOI)

Funding

European Commission
LAkHsMI - Sensors for LArge scale HydrodynaMic Imaging of ocean floor 635568