ArticleScientific data2026
HU-EnviroGrids: A Gridded Environmental Dataset for Spatial Analysis and Modelling at country scale in Hungary.
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- HU-EnviroGrids: A Gridded Environmental Dataset for Spatial Analysis and Modelling at country scale in Hungary.Scientific data · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
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.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.