Supplementary Data for the Paper: “Data-Driven Localization of Magneto-Mechanical Resonators from Time Signals”

Abstract
This dataset provides the materials necessary to reproduce the paper "Data-Driven Localization of Magneto-Mechanical Resonators from Time Signals". It includes simulated data and background noise to reproduce the training and real measurements, with ground truth to infer the provided model.
Subjects
Magneto-mechanical resonator (MMR)
Tracking
Magnetic localization
Wireless sensing
Deep learning
DDC Class
621.3: Electrical Engineering, Electronic Engineering
Funding(s)
SFB 1615 - SMARTe Reaktoren für die Verfahrenstechnik der Zukunft
More Funding Information
This project is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – SFB 1615 – 503850735.
License
https://creativecommons.org/publicdomain/zero/1.0/
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training__val_meta.csv

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training__train_meta.csv

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training__test_meta.csv

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experiment__gt.csv

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experiment__data.npy

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491.64 MB

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Python NumPy Array File

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model__checkpoint.pt

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3.78 MB

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PyTorch

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training__noise.npy

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37.26 MB

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training__val_chunk1.npy

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1.6 GB

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training__test_chunk1.npy

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1.6 GB

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training__train_chunk10.npy

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1.6 GB

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