ArticleScientific data2026
Multi-sensor microclimate and tree canopy dataset from a linden tree for green infrastructure validation.
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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Authors and funding
4 authors.
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Abstract
Validating microclimate simulation models requires accurate in-situ measurements across multiple spatial locations and environmental parameters. This dataset provides a detailed collection of microclimate observations gathered around a linden tree (Tilia cordata) located in Grünstadt, Rhineland-Palatinate, Germany, over a three-day period in June 2025. It includes high-resolution measurements of air temperature, humidity, barometric pressure, shortwave and longwave radiation, illuminance, leaf surface temperatures through thermal imaging, tree-sap flow, and a three-dimensional point cloud of the canopy structure. The data were collected using a combination of professional-grade instruments and low-cost microcontroller-based sensors, allowing for an assessment of affordable alternatives in urban microclimate monitoring. Validation against professional-grade reference instruments demonstrated an R
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