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This paper focuses on major issues related to the data\udreliability and network performance of 20 broadband (BB) stations of the\udCzech (CZ) MOBNET (MOBile NETwork) seismic pool within the AlpArray seismic\udexperiments. Currently used high-resolution seismological applications\udrequire high-quality data recorded for a sufficiently long time interval at\udseismological observatories and during the entire time of operation of the\udtemporary stations. In this paper we present new hardware and software tools\udwe have been developing during the last two decades while analysing data from\udseveral international passive experiments. The new tools help to assure the\udhigh-quality standard of broadband seismic data and eliminate potential\uderrors before supplying data to seismological centres. Special attention is\udpaid to crucial issues like the detection of sensor misorientation, timing\udproblems, interchange of record components and/or their polarity reversal,\udsensor mass centring, or anomalous channel amplitudes due to, for example,\udimperfect gain. Thorough data quality control should represent an integral\udconstituent of seismic data recording, preprocessing, and archiving,\udespecially for data from temporary stations in passive seismic experiments.\udLarge international seismic experiments require enormous efforts from\udscientists from different countries and institutions to gather hundreds of\udstations to be deployed in the field during a limited time period. In this\udpaper, we demonstrate the beneficial effects of the procedures we have\uddeveloped for acquiring a reliable large set of high-quality data from each\udgroup participating in field experiments. The presented tools can be applied\udmanually or automatically on data from any seismic network

geoscientific instrumentation, methods and data systems

Data quality control and tools in passive seismic experiments exemplified on the Czech broadband seismic pool MOBNET in the AlpArray collaborative project