Repurposing the fiber-optic cables from the existing telecommunication infrastructure makes it possible to record dense continuous seismic data in urban areas at low cost. From 2016 to 2019, we connected a disctributed acoustic sensing (DAS) interrogator unit to the fiber-optic cables in telecommunication conduits under Stanford University campus, recording years of continuous seismic data. This repository contains processed TensorFlow Record data files containing examples of earthquake and background noise signals recorded by the Stanford fiber-optic DAS array. These data were used for training, evaluation, and testing of a convolutional neural network for earthquake detection
11 pags., 8 figs.Distributed acoustic sensing (DAS) delivers real-time observation ofphysical pertur...
Distributed acoustic sensing (DAS) is a recently developed technique that has demonstrated its utili...
Distributed acoustic sensing (DAS) is a relatively new technology used in many geophysical applicati...
Repurposing the fiber-optic cables from the existing telecommunication infrastructure makes it possi...
Our understanding of subsurface processes suffers from a profound observation bias: seismometers are...
Distributed acoustic sensing (DAS) is a new, relatively inexpensive technology that is rapidly demon...
Distributed Acoustic Sensing (DAS) is an emerging tool in array seismology, which uses high frequenc...
We present one of the first case studies demonstrating the use of distributed acoustic sensing deplo...
Remote seismic activity is monitored with DAS using a pre-existent fiber installation in an urban ar...
Optical Fiber Communication Conference (OFC) 2019, San Diego, California, USA, 3-7 March 2019Remote ...
17 pags., 12 figs.Continuous, real-time monitoring of surface seismic activity around the globe is o...
Distributed acoustic sensing (DAS) is gradually being adopted as a standard tool to monitor and iden...
The authors here tackle the problem that too much seismic data is acquired worldwide to be evaluated...
Distributed acoustic sensing (DAS) is an innovative technology with a great potential for acquiring ...
International audienceAbstract Earthquake early warning (EEW) systems provide seconds to tens of sec...
11 pags., 8 figs.Distributed acoustic sensing (DAS) delivers real-time observation ofphysical pertur...
Distributed acoustic sensing (DAS) is a recently developed technique that has demonstrated its utili...
Distributed acoustic sensing (DAS) is a relatively new technology used in many geophysical applicati...
Repurposing the fiber-optic cables from the existing telecommunication infrastructure makes it possi...
Our understanding of subsurface processes suffers from a profound observation bias: seismometers are...
Distributed acoustic sensing (DAS) is a new, relatively inexpensive technology that is rapidly demon...
Distributed Acoustic Sensing (DAS) is an emerging tool in array seismology, which uses high frequenc...
We present one of the first case studies demonstrating the use of distributed acoustic sensing deplo...
Remote seismic activity is monitored with DAS using a pre-existent fiber installation in an urban ar...
Optical Fiber Communication Conference (OFC) 2019, San Diego, California, USA, 3-7 March 2019Remote ...
17 pags., 12 figs.Continuous, real-time monitoring of surface seismic activity around the globe is o...
Distributed acoustic sensing (DAS) is gradually being adopted as a standard tool to monitor and iden...
The authors here tackle the problem that too much seismic data is acquired worldwide to be evaluated...
Distributed acoustic sensing (DAS) is an innovative technology with a great potential for acquiring ...
International audienceAbstract Earthquake early warning (EEW) systems provide seconds to tens of sec...
11 pags., 8 figs.Distributed acoustic sensing (DAS) delivers real-time observation ofphysical pertur...
Distributed acoustic sensing (DAS) is a recently developed technique that has demonstrated its utili...
Distributed acoustic sensing (DAS) is a relatively new technology used in many geophysical applicati...