This dataset is supporting information to: Schilling et al. (2021): Quantifying groundwater recharge dynamics and unsaturated zone processes in snow‐dominated catchments via on‐site dissolved gas analysis. Water Resour. Res., e2020WR028479, DOI: 10.1029/2020WR028479

The data was used to develop a novel tracer method for the quantification of groundwater recharge from snowmelt and includes hydraulic, snow, meteorologic and tracer measurements covering the period of Nov-2017 to Dec-2018. The data was recorded in the experimental boral headwater catchment 'Bassin Expérimental du Ruisseau des Eaux-Volées' (BEREV) of Université Laval, located in the Foret Montmorency, Quebec, Canada.

This supporting information dataset consists of two files: Table_S1.xlsx and Table_S2.xlsx.

- Table_S1.xlsx contains (a) GW and SW data (hydraulic head, temperature and electrical conductivity, SW discharge), (b) hydrometeorological data (air pressure, air temperature, soil temperature, precipitation, snow depth), and (c) the residual water balance calculation for the year 2018 (at daily timestep). In addition to SW and hydrometeorological data, the residual water balance calculation includes the following variables: baseflow, runoff, snow water equivalent, snowmelt and recharge. Details on the measurement, data sources and the calculation of the different water balance components are provided in the main manuscript.

- Table_S2.xlsx contains hydrological tracer measurements for groundwater, surface water, precipitation and snow. Data of the following hydrologic tracers are provided: stable water isotopes (i.e., d2H and d18O), Rn-222, H-3/He-3, dissolved gases measured on-site (He, Ar-40, Kr-84, N2, O2 and CO2) as well as noble gas isotopes.

Daily streamflow data was obtained from the publicly available gauging station records (MELLCC station 051004) (MELLCC, 2019). All other data was measured by Schilling et al. (2020)) and the EVAP project (see Isabelle et al., 2020a (DOI: 10.1016/j.agrformet.2019.107813), Isabelle et al., 2020b (DOI: 10.1007/s10546-019-00488-7), Parajuli et al., 2020 (DOI: 10.1002/hyp.13756), Parajuli et al., 2020 (DOI: 10.3390/w12082284))