The exploratory dataset of isotopic composition of different water sources across Kazakhstan

Research output: Contribution to journalResearch articleContributedpeer-review


  • Vadim Yapiyev - , International Science Complex Astana, Nazarbayev University (Author)
  • Nurlan Ongdas - , Chair of Groundwater Systems, Chair of Waste Management and Circular Economy, International Science Complex Astana (Author)
  • Sylvia Pinkerneil - , Helmholtz Centre Potsdam - German Research Centre for Geosciences (Author)
  • Kanat Samarkhanov - , International Science Complex Astana (Author)
  • Arman Kabdeshev - , International Science Complex Astana (Author)
  • Yergali Karakulov - , International Science Complex Astana (Author)
  • Murat Muzdybaev - , International Science Complex Astana (Author)
  • Aksholpan Atalikhova - , International Science Complex Astana (Author)
  • Catalin Stefan - , Chair of Waste Management and Circular Economy, Chair of Groundwater Systems (Author)
  • Jay Sagin - , Kazakh-British Technical University, Western Michigan University (WMU) (Author)
  • Milovan Fustic - , Nazarbayev University, University of Calgary (Author)


This work presents the dataset of stable water isotopes of oxygen and hydrogen measured in water samples from different sources (precipitation, surface water, groundwater, tap water) across Kazakhstan from 2017 to 2018 and from 2020 to 2023. The dataset includes results on isotopic composition of 399 water samples, namely precipitation: event-based (n = 108), cumulative monthly (n = 22); surface water: lakes, reservoirs, brooks, rivers, channels (n = 175), groundwater: shallow and artesian groundwater, spring (n = 85), tapwater (n = 9). For each sample name of the source, location, latitude, longitude and date of sampling, measurement uncertainty (one standard deviation) are available. The samples were assessed by plotting the data in dual δ18O vs. δ2H isotope space with reference to values found in the published literature and fitting a linear regression equation for Astana (event) precipitation. Overall, this is the first dataset covering wide range of sources across Kazakhstan, which could be used by global and regional water resource assessments and studies such as tracing water sources, hydrograph separation and end-member analyses, isotope mass balance, evapotranspiration partitioning, residence time analysis and groundwater recharge. Data availability: The exploratory dataset of isotopic composition of different water sources across Kazakhstan.


Original languageEnglish
Article number110360
Number of pages7
JournalData in brief
Volume54 (2024)
Publication statusPublished - 22 Mar 2024


ASJC Scopus subject areas


  • Central Asia, Deuterium, Isotope hydrology, Lake, Local meteoric water line, Oxygen-18, Precipitation, Stable isotopes

Library keywords