This dataset contains phenotypic information for three-spined stickleback (Gasterosteus aculeatus) that were raised from a single marine x freshwater cross from populations on North Uist, Scottish Outer Hebrides for approximately 5 generations in a freshwater pond in Nottinghamshire, UK. The fish were then used in a quantitative trait loci (QTL) experiment to determine the genomic regions associated with various phenotypic traits in the fish. The phenotypic information includes body length, body weight, sex, whether species of the parasite Schistocephalus was observed in the body cavity, and the composition of the body of the fish (determined by ICPMass Spectromotry) including the following elements: B, Na, Mg, P, S, K, Ca, Ti, Li, Be, Al, V , Cr, Mn, Fe, Co, Ni, Cu, Zn, As, Se, Rb, Sr, Mo, Ag, Cd, Cs, Ba, Tl, Pb, U Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/e7797949-8b96-423e-870e-69e8314dbe90

Phenotypes (growth and phenology) for Scots pine trees in a long-term common garden trial planted in three sites in Scotland, surveyed annually from 2013 to 2020. Full details about this dataset can be found at https://doi.org/10.5285/1c9367fb-ea87-47a1-8257-d9fed54215e7

Phenotypes for Scots pine mother trees and their cones/seed from 21 populations across Scotland in 2007. The seed was used to establish a long-term multisite common garden trial at three nurseries/field sites Full details about this dataset can be found at https://doi.org/10.5285/8a86cb01-46d5-4620-a2be-c15c7616fbe8

This dataset contains phenotypic data on Scots pine cones and seeds sampled from individual trees in a long-term common garden trial. For each tree, overall cone counts were conducted and five cones were sampled in February 2024. Seventeen phenotypic traits were measured for each cone between June and July 2024. Traits include cone length, cone width, cone dry weight, scale length, scale width, scale count, stalk length, profile and colour, seed number and mean seed weight. Full details about this dataset can be found at https://doi.org/10.5285/b98e92cf-6ff5-42e2-8053-021ea04db01c