Joachim Wassermann

TL;DR: ObsPy as discussed by the authors is a Python toolbox that simplifies the usage of Python programming for seismologists by providing direct access to the actual time series, allowing the use of powerful numerical array-programming modules like NumPy (http://numpy.thz.edu/manuals/sac/Manual.html), as well as filtering, instrument simulation, triggering, and plotting.

TL;DR: ObsPy as mentioned in this paper is a Python toolbox that simplifies the usage of Python programming for seismologists by providing direct access to the actual time series, allowing the use of powerful numerical array-programming modules like NumPy (http://numpy.mathworks.org) or SciPy(http://scipy.org).

TL;DR: ObsPy (http://obspy.org), a Python library for seismology intended to facilitate the development of seismological software packages and workflows, is developed to utilize these abilities and provide a bridge for seismologists into the larger scientific Python ecosystem.

TL;DR: The 2020 seismic noise quiet period is the longest and most prominent global anthropogenic seismic noise reduction on record and suggests that seismology provides an absolute, real-time estimate of human activities.

TL;DR: In this paper, the pore pressure changes due to diffusing rain water and in good agreement with the response of faults described by the rate-state friction law are shown to trigger earthquakes in a few kilometres depth.