DOI: 10.5281/zenodo.17056236
title: Dataset accompanying the article "Seismo-Acoustic Evidence for Meteoric Water Modulation of Hydrothermal Fluid Discharge"

description: This repository contains the dataset associated with the manuscript "Seismo-Acoustic Evidence for Meteoric Water Modulation of Hydrothermal Fluid Discharge" (submitted to Journal of Geophysical Research – Solid Earth, August 2025). The data support the analyses and figures presented in the study, which investigates the influence of meteoric water on hydrothermal degassing dynamics through multiparametric seismo-acoustic and geochemical monitoring at the Solfatara–Pisciarelli system (Campi Flegrei caldera, Italy).

The repository includes:





The dataset_stations folder contains an excel file .xlsx with the stations parameters and their conversion factors, and a set of StationXML files, each providing complete metadata for the seismic stations used in this study. Specifically:





IV.APS1.xml and IV.APS2.xml: metadata for stations of the Italian National Seismic Network (network code IV), located in the Agnano–Pisciarelli area, including installation parameters and instrument response.




IV.APS1-CDF.xml: a variant of the APS1 station file, documenting the instrument configuration after modifications or calibrations (CDF = calibration/modified configuration).




IV.CSTH.xml: metadata for the IV network station installed at the Tennis Hotel site (Solfatara).




OV.CPIS.xml and OV.CPIS-EDF.xml: metadata for the Osservatorio Vesuviano (network code OV) station at Pisciarelli, including the standard configuration and an alternative version reflecting a different acquisition setup (EDF).




OV.STH.xml: metadata for the OV network station located at the Solfatara Tennis Hotel site.   






Figure2_3_4_Experiment_September_2020: raw seismic and acoustic waveforms acquired during the array experiment of 23–24 September 2020 (IV temporary network), together with continuous records from permanent OV stations CPIS and CSTH. Data are provided in SDS format, directly accessible with the get_waveforms() routine in the ObsPy framework (Beyreuther et al., 2010; https://docs.obspy.org/). Array sensors are identified by specific location codes: A|B|C|D 0 correspond to the seismic array sensors (with coordinates provided in station_parameters.xlsx), while HL Z|N|E denotes the vertical, north–south, and east–west components. Seismo-acoustic array channels are labeled as N|O|P|Q 0, all with channel name CDF. The data are organized under two station codes (APS1 and APS2), which represent the digitizers used for acquisition.



 





Figure5_6: continuous records from CPIS station on 28 August 2021, used in Figures 5 and 6 of the manuscript (SDS format).



 





Fig7.mat: MATLAB file containing multiparametric time series used in Figure 7 (rainfall, acoustic pressure, water temperature, seismic amplitude). Variables include: x (time in MATLAB format), rain (rainfall at Pozzuoli station  (https://www.3bmeteo.com/meteo/pozzuoli/storico; last accessed on July 2025), [mm/day]), prs (acoustic pressure [Pa] recorded by the CPIS acoustic array), wtemp (water temperature [°C] recorded at station FLXOV08, from Caliro et al., 2025), and amp (seismic RMS amplitude in the 5–15 Hz frequency band [m], measured at the CPIS seismic station).



 





Fig8.mat: MATLAB file containing data used in Figure 8 (seismic velocity, uplift, earthquake counts, gas flux, rainfall). For each, variables x represent the time, while variable y represent the data. Variables include: seismic amplitude data from CPIS and CSTH stations  [m/s]; CPIS/CSTH_ratio; Nearthq (number of earthquakes); PIS_uplift (uplift rate at PIS; De Martino et al., 2022); fluxm3s (gas flux derived from acoustic recordings at CPIS); rain (rainfall at Pozzuoli station).



 

The Seismic Recordings folder contains eight local earthquakes recordings as additional material. These recordings were used to compute spectral ratios in the 5–15 Hz frequency band, from which an average site amplification coefficient, relative to station A of the array, was estimated for each earthquake. 

 

References

Beyreuther, M., Barsch, R., Krischer, L., Megies, T., Behr, Y., & Wassermann, J. (2010). ObsPy: A Python Toolbox for Seismology. Seismological Research Letters, 81(3), 530–533. https://doi.org/10.1785/gssrl.81.3.530

Caliro, S., Avino, R., Orazi, M., Colandrea, M., Scarpato, G., Caputo, A., Cuoco, E., D'Alessandro, A., Minopoli, C., RUFINO, F., Santi, A., & Uzzo, T. (2025b). Dataset of geochemical data acquired by the FLXOV8 multiparametric station in the period from October 2018 - May 2025 installed in Pisciarelli area at Campi Flegrei (Southern Italy) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15704715 

De Martino, P., Dolce, M., Brandi, G., Scarpato, G., & Tammaro, U. (2022). Campi Flegrei cGPS Daily Timeseries (2000-2019) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6389920