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