HU-EnviroGrids: A Gridded Environmental Dataset for Spatial Analysis and Modelling at country scale in Hungary
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.
Authors
- Zsófia Bakacsi (ORCID: https://orcid.org/0000-0002-8967-6052)
- Annamária Laborczi (ORCID: https://orcid.org/0000-0003-4095-7838)
- László Pásztor (ORCID: https://orcid.org/0000-0002-1605-4412)
- Brigitta Szabó (ORCID: https://orcid.org/0000-0003-1485-8908)
- Gábor Szatmári (ORCID: https://orcid.org/0000-0003-3201-598X)
- Tünde Takáts (ORCID: https://orcid.org/0000-0002-4737-1920)
- Katalin Takács
- János Mészáros
Institutions
- Eötvös Loránd University (HU)
- National Agricultural Research and Innovation Centre (HU)
- HUN-REN Centre for Agricultural Research (HU)
Publication Details
- Journal
- Scientific Data
- Published
- 2026-06-09
- DOI
- https://doi.org/10.1038/s41597-026-07604-6
- Primary Topic
- Geographic Information Systems Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Nemzeti Kutatási Fejlesztési és Innovációs Hivatal
- National Research, Development and Innovation Office