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MUDA (geophysical and geochemical MUltiparametric DAtabase) is a new infrastructure of the National Institute of Geophysics and Volcanology (INGV, www. ingv. it) serving geophysical and geochemical multiparametric data, designed and developped in the framework of Dynamic Planet -Working Earth project (https: //progetti. ingv. it/it/pian-din). MUDA is a dynamic and relational database based on MySQL (https: //www. mysql. com) with a web interface realised in php (https: //www. php. net) using a responsive design technique. The multi-parametric data are stored and organised using a table-structure able of correlating different types of data that allow possible future integration with new type of data acquired through both real-time and off-line transmission vectors. MUDA collects information from different types of sensors, such as seismometers, accelerometers, hydrogeochemical sensors, sensors for measuring the flux of carbon dioxide on the ground (CO2), sensors for detecting the concentration of Radon gas and weather stations with the aim of making possible correlations between seismic phenomena and variations in environmental parameters such as the level of groundwater as well as its temperature and electrical conductivity. MUDA archives and publishes data of multiparametric stations belonging both to permanent (i. e. the National Seismic Network, RSN, https: //www. fdsn. org/networks/detail/IV/) or temporary (e. g. PDnet, Massa et al. , 2021, https: //www. fdsn. org/networks/detail/ZO₂021/) INGV seismic networks, as well as data from a multi-parametric Salse di Nirano Reserve (MO) site in cooperation with the PD PROMUD 2023-2025 (Definition of a multidisciplinary monitoring PROtocol for MUD volcanoes) project and two additional multi-parametric sites installed in the inter-mountain basin of Norcia, as a part of the GEMME 2023-2025 project. Data from Radon stations belong to the INGV-IRON national network (Italian Radon Monitoring Network, https: //www. ingv. it/en/monitoring-and-infrastructure/monitoring-networks/ingv-and-its-networks/iron). MUDA daily publishes multi-parametric data updated to the previous day and offers the chence to view and download dynamic time series for all available data and for different periods, up to a maximum of 30 days. For longer periods, users can request data to muda@ingv. it. MUDA is now published at http: //muda. mi. ingv. it
Massa et al. (Fri,) studied this question.
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