A python library for distributed fiber optic sensing

DASPy: A Python Toolbox for DAS (Distributed Acoustic Sensing) data processing.

Tools for distributed acoustic sensing data.

Python framework for Distributed Acoustic Sensing (DAS).

A curated list of DAS tools and resources.

Tools for standardizing Distributed Acoustic Sensing (DAS) metadata

Microseismic event detection on fiber-optic data using machine learning

An Object Storage for Distributed Acoustic Sensing

A Python package to detect anomalies in distributed acoustic sensing (DAS) datasets.

Official reproducible material for Noise attenuation in distributed acoustic sensing data using a guided unsupervised deep learning network

Wavefield Reconstruction of Distributed Acoustic Sensing with Machine Learning

Characterizing Vehicle-Induced Distributed Acoustic Sensing Signals for Accurate Urban Near-Surface Imaging

TelecomTM: A Fine-Grained and Ubiquitous Traffic Monitoring System Using Pre-Existing Telecommunication Fiber-Optic Cables as Sensors

This is a temporary package for low-frequency processing on a spool of distributed acoustic sensing (DAS) data.

Urban sensing using existing fiber-optic networks

DAS image analysis

A Python toolkit for applying Refraction Microtremor analysis to Distributed Acoustic Sensing data

Tools and notebooks for processing FORGE DAS data, including channel interpolation, seismic wave backprojection, data slicing, and pseudo-label generation for tasks like automated phase picking.