This dataset uses δ< 18O and δ< H stable isotope data of precipitation at 842 sampling points in Eurasia from 1961 to 2022.

   This dataset includes measurement data and data collected from various sources. The collected data mainly comes from water isotope websites（ https://wateriso.utah.edu/waterisotopes/index.html ）The Global Precipitation Stable Isotope Network operated by the Atomic Energy Agency. In this study, we collected a total of 45782 data records, including 3676 records from literature sources. The measured data was collected, analyzed and organized by the Shiyang River Basin Comprehensive Observation Station of Northwest Normal University, with a total of 2297 data records. In addition, the meteorological data used in this study were from the CRUTS v.4.07 dataset（ https://crudata.uea.ac.uk/cru/data/hrg/ ）NCEP-NCAR reanalysis dataset（ https://psl.noaa.gov/data/gridded/data.ncep.reanalysis.html ）And K ö ppen's global climate classification data.

   1. The collected raw data was preprocessed and cleaned up. Insert missing data, delete incomplete entries, and eliminate duplicate data

   2. Collect precipitation samples using standard rain gauges.

   3. Before analysis, the precipitated sample is naturally thawed at room temperature. Use 0.45 μ Filter impurities through the membrane and transfer the sample to a 2 mL sample bottle. Measure isotope values using a liquid water isotope analyzer (DLT-100, Los Gatos Research, USA). For any abnormal values or values that have not been checked by the liquid water isotope analyzer (LWIA) post analysis software, parallel samples are selected for re measurement to ensure data accuracy

   4. Mann Kendall (MK) tests were conducted on the temporal variations of stable isotopes in precipitation from two climate zones.