This dataset contains chemical and physical composition of soil for four elevations on Mount Etna. Soil samples were collected in 2017 and 2019 and then analysed for chemical and physical composition by a commercial laboratory in Catania, Sicily. The measurements were conducted as part of a study in to transplanting of two Senecio species on Mount Etna. Full details about this dataset can be found at https://doi.org/10.5285/3970a138-c035-40ac-bf1d-a2f8a464644a

This dataset includes key leaf functional trait data collected from three common garden sites along an elevation/temperature gradient in the Colombian Andes. From eight species, there are a selection of leaf structural (leaf mass per unit area, leaf thickness, leaf dry matter content, leaf area, leaf width) nutrient (nitrogen and phosphorus, expressed on area- and mass-bases) and water-use efficiency (13C and g1) traits. Values for these traits were obtained by a combination of laboratory analysis, raw measurements with handheld equipment, and processing with packages in the ‘R’ environment. Full details about this dataset can be found at https://doi.org/10.5285/55ed98e7-f150-43c8-9b93-d639c1c8af3e