Datasets analyzed within the study "Cosmic-ray neutron sensing to monitor soil moisture across various irrigation methods"

The repository contains two spreadsheets (.csv) relative to the data generated and analyzed within the study entitled "Cosmic-ray neutron sensing to monitor soil moisture across various irrigation methods". A legend of the variables contained in the files is provided below: datetime: time stamp of measured variables. air_temperature[°c]: air temperature measured at 2m above ground, sourced from the network stations of the regional environmental agency (ARPAe, Emilia-Romagna, Italy), as described in the study. precipitations [mmh-1]: hourly rainfall, sourced from the network stations of the regional environmental agency (ARPAe, Emilia-Romagna, Italy), as described in the study. rh[%]: relative humidity, sourced from the network stations of the regional environmental agency (ARPAe, Emilia-Romagna, Italy), as described in the study. neutrons[cph]: hourly neutron counts, aggregated from the CRNS sensor. muons[cph]: hourly muon counts, aggregated from the CRNS sensor. swc_jung[m3m-3]: volumetric soil water content, elaborated as described in the study following the Jung-calibration approach. swc_muons[m3m-3]: volumetric soil water content, elaborated as described in the study following the muon-calibration approach. irrigation[mmh-1]: hourly irrigation volume (specific for db_imola file). irrigation_S1/S2/S3[mmh-1]: hourly irrigation volume in different sectors in the field (specific for db_bondeno file). This research is part of a PhD scholarship funded by NextGenEU-DM352 and Finapp S.r.l. This research has also been supported by the European Partnership on Metrology, co-financed from the European Union's Horizon Europe Research and Innovation Program and by the Participating States.