Excited to introduce RockSigma, a key @COP_PILOT_Horizon partner!
They provide seismic processing software to help mines improve safety and production. In COP-PILOT, they contribute to micro seismic monitoring by integrating new sensors and deploying their software on edge and cloud platforms. This work is crucial for safer mining operations.
🔗 https://cop-pilot.eu/consortium#sweden
#COPPILOT #MeetTheConsortium #ROCKSIGMA #MiningSafety #SeismicMonitoring #EdgeComputing #HorizonEurope
Aguilar Suarez & Beroza present a dataset of 1.6 million waveforms, to be used for machine-learning models in regional seismic event monitoring.
Read more and get the dataset: https://seismica.library.mcgill.ca/article/view/1049
#Seismology #EarthquakeScience #machinelearning #waveforms #seismicmonitoring #peerreviewed #DiamondOpenAccess #Earthquake #OpenAccess #OpenScience
We have assembled CREW, the Curated Regional Earthquake Waveforms Dataset, which is a dataset of earthquake arrivals recorded at local and regional distances. CREW was assembled from millions of waveforms with quality control through semi-supervised learning. CREW includes 2.3 million waveforms that have global coverage. Each waveform consists of a 5 minute three component seismogram with labels for both a P and S arrival. CREW provides a high quality labelled waveform data set that can be used to develop and test machine learning models for the analysis of earthquakes recorded at regional distances.
How to best design and improve a microseism monitoring network in an urban environment?
Through an optimization program, Keil et al. find the optimal number and distribution of seismic stations for an urban area with heterogeneous noise conditions:
https://seismica.library.mcgill.ca/article/view/1030
#Seismology #EarthquakeScience #DiamondOpenAccess #Earthquake #OpenAccess #OpenScience #Munich #optimization #seismicmonitoring #seismicnetwork
COP_PILOT_Horizon
WeAreSeismica