The dataset contains chlorophyll fluorescence data from different genotypes of two Senecio species on Mount Etna, Sicily. In 2017, multiple clones of c.40 genotypes for each of two Senecio species were transplanted at four elevations (500m, 1000m, 1500m, 2000m) on Mount Etna. For each species, five genotypes were chosen randomly and chlorophyll fluorescence was measured on four clones of each chosen genotype at each transplant elevation using an IMAGING-PAM fluorometer Full details about this dataset can be found at https://doi.org/10.5285/28880a9d-3d6b-4e8e-a1d3-8ed939222bdc

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 contains climate data for Mount Etna in 2017. The measurements were conducted as part of a study in to transplanting of two Senecio species on Mount Etna. Dataloggers were deployed at each of the four transplant elevations (500 m, 1000 m, 1500 m, 2000 m) to record temperature. Daily maximum and minimum were extracted to understand how temperature varied across elevation and seasons. Full details about this dataset can be found at https://doi.org/10.5285/35a9dcfa-cf47-44cf-ad1e-8b4b59238768

This dataset contains survival, growth and leaf morphology data for multiple clones of c. 40 genotypes of two species of Senecio. The two Senecio species are native to low (S. chrysanthemifolius) and high elevations (S. aethnensis) on Mount Etna. Genotypes were propagated in a glasshouse and multiple clones of each genotype were then transplanted at four elevations (500m, 1000m, 1500m, 2000m) on Mount Etna in June-July 2017 before measurements were taken. Full details about this dataset can be found at https://doi.org/10.5285/11bad517-507b-4b8f-9944-2c2e16e4e8c6