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Supplementary Data for the Paper: “Data-Driven Localization of Magneto-Mechanical Resonators from Time Signals”
Citation Link: https://doi.org/10.15480/882.18147
Type
Dataset
Date Issued
2026-09-07
Author(s)
TORE-DOI
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
More Funding Information
This project is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – SFB 1615 – 503850735.
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training__val_meta.csv
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9.83 MB
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CSV
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training__train_meta.csv
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98.32 MB
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CSV
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training__test_meta.csv
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9.83 MB
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CSV
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experiment__gt.csv
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1.6 KB
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CSV
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experiment__data.npy
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491.64 MB
Format
Python NumPy Array File
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model__checkpoint.pt
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3.78 MB
Format
PyTorch
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training__noise.npy
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37.26 MB
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Python NumPy Array File
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training__val_chunk1.npy
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1.6 GB
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Python NumPy Array File
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training__test_chunk1.npy
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1.6 GB
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Python NumPy Array File
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training__train_chunk10.npy
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1.6 GB
Format
Python NumPy Array File