IoT device identification dataset
<p>This is the main record in the IoT device measurements connected to the paper "Identification of IoT Devices using Experimental Radio Spectrum Dataset and Deep Learning".</p> <p>This is a connecting dataset that references all the actual data. The records are split because of the large size of the dataset. The records containing the data are found at the following DOIs:</p> <ul> <li>Raw data <ul> <li>Other room: <a href="https://doi.org/10.5281/zenodo.3646427">10.5281/zenodo.3646427</a></li> <li>Upstairs: <a href="https://doi.org/10.5281/zenodo.3641580">10.5281/zenodo.3641580</a></li> <li>Same room: <a href="https://10.5281/zenodo.3638163">10.5281/zenodo.3638163</a></li> <li>Background measurement: <a href="https://doi.org/10.5281/zenodo.3638139">10.5281/zenodo.3638139</a></li> </ul> </li> <li>Multi user data (No fading): <a href="https://doi.org/10.5281/zenodo.3754210">10.5281/zenodo.3754210</a></li> <li>Multi user data: <a href="https://doi.org/10.5281/zenodo.3753003">10.5281/zenodo.3753003</a></li> <li>Cut and dimensionality reduced measurements: <a href="https://doi.org/10.5281/zenodo.3752981">10.5281/zenodo.3752981</a></li> </ul> <p> </p> <p>Common parameters for all the measurements:</p> <ul> <li>Frequency: 863-870 MHz (center 866,5 MHz)</li> <li>Sample Frequency: 10 MSPS</li> <li>Date of measurement: 15 November 2018</li> <li>Location: Connectivity Lab, Fredrik Bajers Vej 7C, Aalborg University, Denmark</li> </ul>
ShareScore
36/100
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
- 4