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RUFF -- Rotating UWB For Fingerprint

<p>RUFF (Rotating UWB For Fingerprint) is a dataset for exploring the UWB device authentication through radio frequency fingerprinting.</p> <p>This dataset is composed of more then 1.5 million measurments of Chanel impulse Response (CIR) of UWB signal pulses. Each mesurment is labeled with a Device ID from 1 of 13 emitting boards and with a Device Location of 1 of 100 positions.</p> <p>The data is available in raw csv files from the recording campagn and in .npy clean format for a direct usage in python. The code and Deep Learning models from this project can be found in&nbsp;<a href="https://anonymous.4open.science/r/UWB-fingerprint-80CB/README.md" target="_blank" rel="noopener">This git</a>.</p> <p><em>Link to the Article with more detail will be added after review.</em></p>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0

Dataset details

Repository
zenodo
Published
April 28, 2024
License
cc-by-4.0
DOI
10.5281/zenodo.11083152

Scored with release 0.9.0

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