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Anomaly Detection dataset for the ISS Panel mockup

<p>If you use the dataset, please cite:</p> <p><em>Siddhant Shete, Dennis Mronga</em></p> <p><strong>&quot;Adaptive Online Anomaly Detection using Transfer Learning&quot;</strong></p> <p>About the dataset: The dataset is basically used for anomaly detection in the ISS(International Space Station)&nbsp;panel. This dataset was captured from the mockup used for experiments at&nbsp;the institute. The panel replicates the curcuit and control boards at&nbsp;ISS. The dataset is segregated in two parts Normal data and Anomalous data.</p> <p>Contents of&nbsp;<em><strong>&nbsp;ISSPanelDataset.zip&nbsp;</strong></em></p> <ol> <li>Nomal</li> <li>Anomaly</li> </ol> <p>The Anomaly&nbsp;folder has data with different scenarios where the led lights are on, the fan panel cover is missing or some parts are missaligned.</p> <p>&nbsp;</p> <p><em>This dataset is provided by the Robotics Innivation Center, DFKI GmbH.</em></p> <p><em>The grant was provided by&nbsp;Federal Ministry for Economic Affairs and Climate Action&nbsp;</em></p> <p><em>Grant number:&nbsp;20W1922F</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