Fiber-optic DAS dataset of diverse tunnel disturbance events
Creators
- 1. Nanjing University
Description
# Fiber-optic DAS dataset of diverse tunnel disturbance events (doi: 10.5281/zenodo.7116488)
This is a fiber-optic DAS dataset of diverse tunnel disturbance events as well as data 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*.
## Dataset
This repository contains:
* `Raw data.zip` is the raw DAS-recorded signals.
* `data_24.csv` is a simplified version of the raw data with 24 features.
* `data_15.csv` is a simplified version of the raw data with 15 features.
* `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.
* `Details of features.xlsx` is a detailed description of the features before and after feature selection.
## Dataset
Python scripts linked with this dataset are available at https://github.com/njufogeo/AutoTunnelThreatID
## Correspondence
Correspondence should be addressed to zhang@nju.edu.cn (C.-C.Z.).
Files
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The record is publicly accessible, but files are restricted to users with access.
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Until the acceptance of the paper, the access is only granted to the reviewers and editors. Upon acceptance the data will be publicly available.
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