The data consist of standardised counts of taxon abundances (bacteria, fungi and micro eukaryotes) from soil samples collected from paired intensive and extensive grassland systems, including low and high pH parent soils, from 32 sites across the United Kingdom. The samples were collected during winter and spring 2015-2016 from sites across the UK. DNA were extracted and taxonomic marker genes assessed using high-throughput DNA sequencing techniques to yield information about the genetic diversity and abundance of the microorganisms therein. The data were collected to help understand soil functional change in a variety of management and climatic scenarios as part of NERC U-GRASS (Understanding and enhancing soil ecosystem services and resilience in UK grass and croplands) award (NERC Reference NE/M017125/1) part of the NERC Soil Security Programme. Full details about this dataset can be found at https://doi.org/10.5285/11bc98b8-5f2b-4a25-804c-16010052cdb7

[This dataset is embargoed until September 30, 2026]. This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the South Asia driven by Weather and Research Forecast model meteorology (WRF). It provides daily mean atmospheric compositions and fluxes of the South Asia on a 0.1° x 0.1° resolution grid for years 2015 and 2030. The EMEP model version used here is rv4.45, and the WRF model version is the 4.4.2. This work was carried out within the South Asian Nitrogen Hub funded by the UK Global Challenges Research Fund (GCRF) of UKRI administered by the Natural Environment Research Council (NERC) (NE/S009019/1). Full details about this dataset can be found at https://doi.org/10.5285/54511607-6cbf-424e-b352-c982de937d0a

Data are presented of enzymatic activity of soil collected from paired intensive and extensive grassland systems including low and high pH parent soils, from 32 sites across the United Kingdom. The samples were collected during winter and spring 2015-2016 by project staff experienced in soil core collection. Dry soil samples were analysed for a suit of extracellular hydrolytic enzyme activities. Fluorescently labeled substrates were used to enable the activity of the following enzymes to be measured. All analysis was carried out at CEH Wallingford. The data were collected to help understand soil functional change in a variety of management and climatic scenarios as part of NERC U-GRASS (Understanding and enhancing soil ecosystem services and resilience in UK grass and croplands) award (NERC Reference NE/M017125/1) part of the NERC Soil Security Programme. Full details about this dataset can be found at https://doi.org/10.5285/15026591-f803-4b18-a359-cd69ea0e6069