This dataset consists of plant species presence and abundance in different sizes of plots recorded from 105 1km squares across Great Britain in 2024, as part of a rolling soil and vegetation monitoring program of 500 1km squares, beginning in 2019 and repeated every 5 years. 2024 represents the first year of a new cycle. The UKCEH Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have previously been carried out in 1978, 1984, 1990, 1998 and 2007 by the UK Centre for Ecology & Hydrology (UKCEH) and predecessors, with repeated visits to the majority of squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way, we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to vegetation data, soil data are also gathered by the current phase of the Countryside Survey. This research was supported by NERC, through the UKCEH National Capability for UK Challenges Programme NE/Y006208/1. Full details about this dataset can be found at https://doi.org/10.5285/24a2e5d9-d148-4b58-b0fa-a8e3d4b78511

These data are a 2020-22 repeat of a survey undertaken in 1971, and again between 2000 and 2003, when 103 broadleaved woodlands were surveyed across Britain. Ecological information was recorded at the site level and in more detail from sixteen, 200 m-2 sample plots located at random within each site. Data were collected on plant species composition of the canopy and ground flora, soil pH and Soil Organic Matter, habitat management and a wide range of other plot and site-level descriptors. This edition of the survey, comprising a re-visit to 97 sites, was funded by a consortium led by the Woodland Trust, and carried out by professional ecologists managed by the UK Centre for Ecology & Hydrology. Users of the dataset should consult the supporting documentation for further information on field methods and analytical results. Full details about this dataset can be found at https://doi.org/10.5285/42c203c8-44de-40e2-a694-b1e8cbd4c8e1