The Randomized trial developed an extensive environmental dataset in Hungary, indicating improved data-driven decision-making.
There is a growing demand for comprehensive environmental information driven by increasingly complex environmental challenges. Addressing these issues requires multidisciplinary approaches supported by harmonized datasets derived from diverse data sources. We developed HU-EnviroGrids, a spatially exhaustive, gridded environmental dataset covering the entire territory of Hungary. The dataset was created using a multidisciplinary data integration approach that harmonized diverse data sources across multiple environmental domains, such as topography, hydrology, climate, biosphere & land surface and pedosphere. The derived quantitative and qualitative environmental variables were transformed into a common reference system, providing a consistent spatial coverage at a 100 × 100 m spatial resolution across Hungary. This dataset provides foundational inputs to a wide range of applications for applied research in ecology, hydrology, climatology, agriculture, forestry, and Earth system sciences. By making these data openly available, HU-EnviroGrids seeks to strengthen the scientific and practical basis for addressing complex environmental issues, and to foster more informed, data-driven decision-making at multiple scales.
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Takács et al. (2026) studied this question.
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