Fiber-optic DAS dataset of diverse tunnel disturbance events

<p><strong># Fiber-optic DAS dataset of diverse tunnel disturbance events (doi: 10.5281/zenodo.7116488)</strong></p> <p>This is a fiber-optic DAS dataset of diverse tunnel disturbance events as well as data&nbsp;to support the manuscript "Listening to underground infrastructure: Machine learning-based distributed acoustic sensing enables automated identification of diverse tunnel threats" by Tai-Yin Zhang, Cheng-Cheng Zhang*, and Bin Shi*.</p> <p><strong>## Dataset</strong><br>This repository contains:<br>&nbsp;<br>* `Raw data.zip` is the raw DAS-recorded signals.</p> <p>* `data_24.csv` is a simplified version of the raw data with 24 features.</p> <p>* `data_15.csv` is a simplified version of the raw data with 15 features.</p> <p>* `Details of raw data.xlsx` is a detailed description of the recorded signals, including tunnel conditions (location, type, soil and geographical conditions), sample size distribution, DAS acquisition parameters, cable type and installation method, and whether auxiliary inspection or monitoring methods were used.</p> <p>* `Details of features.xlsx` is a detailed description of the features before and after feature selection.</p> <p><strong>## Dataset</strong><br>Python scripts linked with this dataset are available at https://github.com/njufogeo/AutoTunnelThreatID</p> <p><strong>## Correspondence</strong><br>Correspondence should be addressed to zhang@nju.edu.cn (C.-C.Z.).</p>