Author
Listed:
- Andrey Bondarovich
(Department of Economic Geography and Cartography, Altai State University, 656049 Barnaul, Russia)
- Kamilla Rakhymbek
(Laboratory of Digital Technologies and Modeling, Sarsen Amanzholov East Kazakhstan University, Ust-Kamenogorsk 070004, Kazakhstan)
- Nurassyl Zhomartkan
(Laboratory of Digital Technologies and Modeling, Sarsen Amanzholov East Kazakhstan University, Ust-Kamenogorsk 070004, Kazakhstan)
- Almasbek Maulit
(Laboratory of Digital Technologies and Modeling, Sarsen Amanzholov East Kazakhstan University, Ust-Kamenogorsk 070004, Kazakhstan)
- Egor Mordvin
(Department of Radiophysics and Theoretical Physics, Altai State University, 656049 Barnaul, Russia)
- Yermek Suleimenov
(Department of Plant Breeding and Seed Production, Oilseed Crops Experimental Station, Ust-Kamenogorsk 070000, Kazakhstan)
- Aigul Syzdykpaeva
(Department of Artificial Intelligence and Information Technologies, Sarsen Amanzholov East Kazakhstan University, Ust-Kamenogorsk 070004, Kazakhstan)
- Markhaba Karmenova
(Department of Artificial Intelligence and Information Technologies, Sarsen Amanzholov East Kazakhstan University, Ust-Kamenogorsk 070004, Kazakhstan)
Abstract
This study presents a dataset of meteorological and soil-hydrological instrumental observations collected at three agrometeorological stations in the East Kazakhstan Region during the growing seasons of 2022–2025. The dataset includes time series from automatic weather stations: WS “OCES-1” (Solnechnoe village) provides hourly data over four years (2022–2025; 14,614 records; 65 variables), while WS “OCES-2” (Lugovoe village; 203,279 records) and WS “Altyn Kazan” (Sulusary village; 207,115 records) provide minute-resolution data for 2025 (49 variables each). Measured parameters at 200 cm height include air temperature and humidity, atmospheric pressure, precipitation, wind speed and direction; soil measurements down to 100 cm depth include temperature and moisture. Also, field-based express measurements of volumetric soil moisture within a 1 m profile (every 10 cm) were collected during three campaigns (May–August 2025), resulting in a total of 253 measurements. The stations are located across steppe and forest-steppe landscapes of the transboundary Altai–Sayan mountain region on active agricultural lands under diverse soil–climatic conditions. Climate types correspond to Dfb and Dfa per the Köppen–Geiger classification. Soils are classified under WRB as Chernozems and Calcic Chernozems. The dataset is published in CSV format on Zenodo under a CC-BY 4.0 license.
Suggested Citation
Andrey Bondarovich & Kamilla Rakhymbek & Nurassyl Zhomartkan & Almasbek Maulit & Egor Mordvin & Yermek Suleimenov & Aigul Syzdykpaeva & Markhaba Karmenova, 2026.
"A Dataset of Meteorological and Soil-Hydrological Instrumental Observations from the Regional Agrometeorological Network of East Kazakhstan, Collected During Individual Growing Seasons,"
Data, MDPI, vol. 11(6), pages 1-22, June.
Handle:
RePEc:gam:jdataj:v:11:y:2026:i:6:p:138-:d:1963364
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