Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/37036| Title: | Dipole localisation predictions data set | Data Creator - person: | BOT, Jelmer WOLFS, Davy van Netten, S.M. |
Data Curator - person: | BOT, Jelmer | Rights Holder - person: | BOT, Jelmer | Publisher: | Zenodo | Issue Date: | 2021 | Abstract: | This data set contains prediction of ten dipole localisation algorithms computed using a simulated artificial lateral line (potential flow). | Research Discipline: | Natural sciences > Information and computing sciences > Theoretical computer science > Analysis of algorithms and complexity (01020801) Natural sciences > Information and computing sciences > Information systems > Visual data analysis (01020505) Natural sciences > Mathematical sciences > Geometry > General topology (01010504) |
Keywords: | hydrodynamic imaging; dipole localisation; artificial lateral line; neural networks | DOI: | 10.5281/zenodo.4973492 | Link to publication/dataset: | https://zenodo.org/record/4973492 | Source: | Zenodo. 10.5281/zenodo.4973492 https://zenodo.org/record/4973492 | Publications related to the dataset: | 10.3390/s21134558 | License: | Creative Commons Attribution 4.0 International (CC-BY-4.0) | Access Rights: | Open Access | Version: | 2.0 | Category: | DS | Type: | Dataset |
| Appears in Collections: | Datasets |
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