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The paper presents oxygen and hydrogen isotopes of 284 precipitation event samples systematically collected in Irkutsk, in the Baikal region (southeast Siberia), between June 2011 and April 2017. This is the first high-resolution dataset of stable isotopes of precipitation from this poorly studied region of continental Asia, which has a high potential for isotope-based palaeoclimate research. The dataset revealed distinct seasonal variations: relatively high delta O-18 (up to -4 parts per thousand) and delta D (up to -40 parts per thousand) values characterize summer air masses, and lighter isotope composition (-41 parts per thousand for delta O-18 and -322 parts per thousand for delta D) is characteristic of winter precipitation. Our results show that air temperature mainly affects the isotope composition of precipitation, and no significant correlations were obtained for precipitation amount and relative humidity. A new temperature dependence was established for weighted mean monthly precipitation: +0.50 parts per thousand/degrees C (r(2) = 0.83; p n = 55) for delta O-18 and +3.8 parts per thousand/degrees C (r(2) = 0.83, p < 0.01; n = 55) for delta D. Secondary fractionation processes (e.g., contribution of recycled moisture) were identified mainly in summer from low d excess. Backward trajectories assessed with the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model indicate that precipitation with the lowest mean delta O-18 and delta D values reaches Irkutsk in winter related to moisture transport from the Arctic. Precipitation originating from the west/southwest with the heaviest mean isotope composition reaches Irkutsk in summer, thus representing moisture transport across Eurasia. Generally, moisture transport from the west, that is, the Atlantic Ocean predominates throughout the year. A comparison of our new isotope dataset with simulation results using the European Centre/Hamburg version 5 (ECHAM5)-wiso climate model reveals a good agreement of variations in delta O-18 (r(2) = 0.87; p n = 55) and air temperature (r(2) = 0.99; p n = 71). However, the ECHAM5-wiso model fails to capture observed variations in d excess (r(2) = 0.14; p < 0.01; n = 55). This disagreement can be partly explained by a model deficit of capturing regional hydrological processes associated with secondary moisture supply in summer.