Isotopes and related data associated with water tracing with environmental DNA in a high-Alpine catchment Prepared by Natalie Ceperley, February 2020. All methods associated with this data are available in the manuscript: Elvira Mächler, Anham Salyani, Jean-Claude Walser, Annegret Larsen, Bettina Schaefli, Florian Altermatt, and Natalie Ceperley. 2019. Water tracing with environmental DNA in a high-Alpine catchment, Hydrology and Earth System Sciences. https://doi.org/10.5194/hess-2019-551. Related data sets are and will be published in the Vallon de Nant Community on Zenodo. Associated sequencing data are publicly available on European Nucleotide Archive (Mächler et al., 2020). All isotope data analyzed in the laboratory of Torsten W. Vennemann at the University of Lausanne. All Files: ▪ NaN - No measurement or sample ▪ Details regarding measurement are available in paper or supplement. Files: 1) climate_hydro_2017_daily.csv ⁃ 16 columns: ⁃ 1. day of year with January 1, 2017 = 1 ⁃ 2-5. Q: daily mean, min, max, and baseflow discharge as measured at outlet (location ER/MR), in liters / day ⁃ 6. P: mean mm of rain across catchment per day ⁃ 7. SR: total solar radiation per day in W/hr/m2 as median of 4 meteorological stations ⁃ 8-10. SCA: mean, min, and max snow covered area on days with satellite imagery available for whole catchment area, in % ⁃ 11-13. water temperature, mean, min, and max, at outlet (location ER/MR), in degrees C ⁃ 14-16. air temperature, mean, min, and max at 4 meteorological stations, in degrees C 2) delta-18-O_permil.csv ⁃ stable isotopes of water (delta 18-O) in per mil ⁃ columns correspond to sampling locations (locations.csv), rows correspond to sampling days (sampledates.csv) 3) delta-2-H_permil.csv ⁃ stable isotopes of water (delta 2-H) in per mil ⁃ columns correspond to sampling locations (locations.csv), rows correspond to sampling days (sampledates.csv) 4) dqdt_outlet_prev48hrs.csv - dq/dt determined at the outlet for the previous 48 hours at sampling moment (TimeOfSamples_HR.csv) for each sampling site ⁃ columns correspond to sampling locations (locations.csv), rows correspond to sampling days (sampledates.csv) 5) ednasamplecount.csv - this is the tally of samples (1 sample includes 4 replicates) ⁃ columns correspond to sampling locations (locations.csv), rows correspond to sampling days (sampledates.csv) 6) electricalconductivity_instrument.csv ⁃ Code: 108 - post-analyzed using a glass bodied 6 mm probe in the laboratory (Jenway 4510, Staffordshire, UK). 102 - hand measurement with WTW (multi-3510 with a IDS-tetracon-925, Xylem Analytics, Germany) ⁃ columns correspond to sampling locations (locations.csv), rows correspond to sampling days (sampledates.csv) 7) electricalconductivity_uScm.csv - this is the electrical conductivity in micro siemens per cm, according to the instruments coded in electricalconductivity_instrument.csv ⁃ columns correspond to sampling locations (locations.csv), rows correspond to sampling days (sampledates.csv) 8) LC-excess.csv - this is the line control execss from the meteoric water line as determined by the samples in the file: precipitationistopemetadata.csv ⁃ columns correspond to sampling locations (locations.csv), rows correspond to sampling days (sampledates.csv) 9) locations.csv ⁃ Location codes used in other files. - Coordinates in CH1903 / LV03 and WGS 84 (lat/lon). Elevation in m. asl. 10) precipitationisotopemetadata.csv - This is the sampling information for the isotope data that was used to calculate the meteoric water line. - The full data set will become available in a subsequent publication on Zenodo linked to the same community. - 4 columns: - 1. code: rain (1) or snow (2) - 2. collection date and time - 3. elevation in m. asl. - 4. in the case of rain, this is the depth of collection in mm (area normalized volume), in the case of snow, this is the mean depth below the surface that the sample was taken from in cm. ⁃ columns correspond to sampling locations (locations.csv), rows correspond to sampling days (sampledates.csv) 11) sampledates.csv - These are the sample dates in day, month, year and day of year corresponding to the rows in other files 12) stationlocations.csv - These are the locations of four meteorological stations and discharge measurement station. - Coordinates in CH1903 / LV03 and WGS 84 (lat/lon). Elevation in m. asl. 13) TimeOfSamples_HR.csv - This is the time of the sample in hours and decimals correspond to minutes past hour ⁃ columns correspond to sampling locations (locations.csv), rows correspond to sampling days (sampledates.csv) 14) watertemperature_degC.csv ⁃ columns correspond to sampling locations (locations.csv), rows correspond to sampling days (sampledates.csv) - measure in degrees C - instrument in watertemperature_instrument.csv 15) watertemperature_instrument.csv ⁃ Code: 1 = hand measurement with WTW (multi-3510 with a IDS-tetracon-925, Xylem Analytics, Germany) 2 = HOBO Pendant Temperature/Light Data Logger 64K - UA-002-64", Onset (Bourne, MA, USA) 3 = Continually logging WTW (IDS-tetracon-325, Xylem Analytics, Germany) 4 = Continually logging (10min) HOBO U24-001 Conductivity, Onset (Bourne, MA, USA) ⁃ columns correspond to sampling locations (locations.csv), rows correspond to sampling days (sampledates.csv)

Funding is from the Swiss National Science Foundation Grants No PP00P3_179089, 31003A_173074 (to FA), PP00P2_157611 (to BS), the Velux Foundation, and the Chuard Schmid Foundation (to BS).