We need more investment in the new energy, but we also need to assess the impacts of the clean energy transformation on the economy, society, and environment carefully. This dataset contains previously published data on induced seismicity that has been processed to be machine learning ready. The data contains time series of the cumulative number of seismic events in certain areas and the corresponding pressures induced by injecting fluids into the ground. The natural task is to forecast future seismicity given past seismicity and pressures. This dataset aims to require as little seismology experience as necessary to prepare the data for forecasting algorithms. Data is provided for different locations. For Decatur Illinois, the seismic da...
We reanalysed the induced seismicity data from the Groningen gas reservoir. We used the well-maintai...
The Italian earthquake waveform data are collected here in a dataset suited for machine learning ana...
Earthquakes prediction is considered the holy grail of seismology. After almost a century of efforts...
This dataset contains previously published data on induced seismicity that has been processed to be ...
This dissertation presents four research elements that aim to improve the seismic resilience of comm...
The earthquake rupture process reflects complex interactions of stress, fracture and frictional prop...
The earthquake rupture process comprises complex interactions of stress, fracture, and frictional pr...
The database and its accompanying files are as follows: GEoREST_database_Readme (.txt): provides an...
Nowcasting is a term originating from economics, finance, and meteorology. It refers to the process ...
The curation of seismic datasets is the cornerstone of seismological research and the starting point...
Since 2009, the Central U.S. has been subjected to a new type of seismic hazard attributed to human ...
Can an interpretable logistic regression model perform comparably to a deep learning model in the ta...
Introduction Interpretation of reflection seismic data has come a long way, from structural travel ...
Earthquake monitoring workflows are designed to detect earthquake signals and to determine source ch...
A feasible solution for seismic event detection and phase picking is prototyped on an embedded syste...
We reanalysed the induced seismicity data from the Groningen gas reservoir. We used the well-maintai...
The Italian earthquake waveform data are collected here in a dataset suited for machine learning ana...
Earthquakes prediction is considered the holy grail of seismology. After almost a century of efforts...
This dataset contains previously published data on induced seismicity that has been processed to be ...
This dissertation presents four research elements that aim to improve the seismic resilience of comm...
The earthquake rupture process reflects complex interactions of stress, fracture and frictional prop...
The earthquake rupture process comprises complex interactions of stress, fracture, and frictional pr...
The database and its accompanying files are as follows: GEoREST_database_Readme (.txt): provides an...
Nowcasting is a term originating from economics, finance, and meteorology. It refers to the process ...
The curation of seismic datasets is the cornerstone of seismological research and the starting point...
Since 2009, the Central U.S. has been subjected to a new type of seismic hazard attributed to human ...
Can an interpretable logistic regression model perform comparably to a deep learning model in the ta...
Introduction Interpretation of reflection seismic data has come a long way, from structural travel ...
Earthquake monitoring workflows are designed to detect earthquake signals and to determine source ch...
A feasible solution for seismic event detection and phase picking is prototyped on an embedded syste...
We reanalysed the induced seismicity data from the Groningen gas reservoir. We used the well-maintai...
The Italian earthquake waveform data are collected here in a dataset suited for machine learning ana...
Earthquakes prediction is considered the holy grail of seismology. After almost a century of efforts...