Royal Botanic Gardens, Kew
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The dataset contains a current inventory of vascular plant species and their attributes present in the flora of Britain and Ireland. The species list is based on the most recent key to the flora of Britain and Ireland, with taxon names linked to unique Kew taxon identifiers and the World Checklist of Vascular Plants, and includes both native and non-native species. Attribute data stem from a variety of sources to give an overview of the current state of the vascular flora. Attributes include functional traits, distribution and ecologically relevant data (e.g. genome size, chromosome numbers, spatial distribution, growth form, hybridization metrics and native/non-native status). The data include previously unpublished genome size measurements, chromosome counts and CSR life strategy assessments. The database aims to provide an up-to-date starting point for flora-wide analyses. Full details about this dataset can be found at https://doi.org/10.5285/9f097d82-7560-4ed2-af13-604a9110cf6d
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[This dataset is embargoed until December 31, 2026]. This dataset comprises 25 traits related to plant hydraulic function and wood anatomy for 38 individual trees of five dipterocarp species from a site in Borneo. Traits were measured at multiple positions along each tree: at the bottom and the top of the trunk, then at 3 positions along a lower, a middle, and an upper branch in the crown of the tree - so 12 measurement points per tree for the traits. The trees that were measured ranged in height from 7.7 to 71 m in height. These data were all collected following standardised methodologies for each trait sampled and they were all collected during one very large field campaign which took place during 2022. Following this anatomy samples and data were processed. The aim of this data set was to test whether tree height alters the water transport system of trees to make them more vulnerable to the impacts of drought. Full details about this dataset can be found at https://doi.org/10.5285/6ecfd160-4740-491e-a8b3-8cbb3a4c8701
NERC Data Catalogue Service