Dataset contains biomass and growth rates of ectomycorrhizal fungal species on different types of growth media in response to organic and inorganic nutrient additions. The fungi used were Laccaria bicolor (lb101B), Laccaria amethystina (la56), Paxillus involutus (Pi47), Piloderma byssinium (PbUP185), Suillus bovinus O96, Suillus viscidus (Sv171), and Suillus viscidus (SvAFST1). The diameter of fungal colonies was measured daily using a ruler over a 57 day period. Biomass was determined by removing the fungal mycelia, freeze-drying it and weighing on a microbalance. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/8eb1b693-8f56-4d97-b42d-f2c206dd33c0

These data describe the results of a three year (2011-2013) factorial experiment using plant-soil mesocosms testing the effects of biochar on soil biodiversity and soil carbon fluxes. The experimental design comprised three treatments: (1) biochar (absence or presence at 2% w/w); (2) plant type (barley, perennial ryegrass, or unvegetated); and (3) soil texture (sandy clay, sandy silt loam, clay loam). Ecosystem responses measured were net ecosystem exchange of carbon (NEE) & ecosystem respiration (both g CO2 m-2 h-1) and plant biomass (g aboveground and root). Soil biological responses measured were estimates of microbial community structure (fungal-to-bacterial ratio, total phospho-lipid fatty acid (PFLA) nmol g-1 soil) and densities (g-1 soil) of nematode worms and soil microarthropods (Collembola, Acari). The experiment was done at the Centre for Ecology & Hydrology in Penicuik, near Edinburgh in Scotland (UK). Soils used in the experiment were taken from the top 20 cm of the soil profile, from the James Hutton Institute’s Balruderry Farm near Dundee, Scotland, UK (56° 27’ N, 3° 4’ W). This research was funded by a Natural Environment Research Council Open CASE PhD studentship grant (NE/HO18085/1). Full details about this dataset can be found at https://doi.org/10.5285/130369e1-d9c7-436c-bd0c-1ccde4844576

This dataset contains in situ CO2 efflux, root production and fungal hyphae production from plots distributed across a subarctic landscape in Northern Sweden. Six paired plots were established in mountain birch forest and five paired plots were established in tall shrub tundra where one of each pair was 'girdled' and one acted as a non girdled 'control'. Efflux measurements were made during six sampling campaigns over 2017 and 2018 at an approximate frequency of once per week during each campaign, constituting a time series of measurements. Production measurements integrated root or hyphae production over the whole growing season (June-September) and therefore there is one datapoint per plot per year. Full details about this dataset can be found at https://doi.org/10.5285/4418c631-c39c-467c-b3b8-c75142fcae0a

This dataset provides a coherent, quality-controlled collection of 15-minute river flow observations from across the United Kingdom. It brings together more than 1,300 gauging stations and over 50,000 station-years of data collected by the main UK measuring authorities - the Environment Agency (England), Scottish Environment Protection Agency, Natural Resources Wales, the Department for Infrastructure (Northern Ireland), and the UK Centre for Ecology & Hydrology. The records span from 1948 to the present day and represent the first national-scale compilation of sub-daily flow data in a consistent format. The dataset was created by assembling raw hydrometric records from open APIs and data requests to measuring authorities, then standardising them to a uniform 15-minute time step. A structured quality control framework was applied to identify and flag potential issues such as missing or duplicated values, irregular time steps, and implausible flow events. Each record includes a detailed quality code indicating the outcome of these checks, and a suite of accompanying metadata files provides full traceability of data provenance, quality control results, and any adjustments made during processing. The resource is designed to support large-sample and national-scale hydrological research, particularly for applications requiring high-resolution data such as flood analysis, catchment response studies, and model calibration. Full details about this dataset can be found at https://doi.org/10.5285/211710ac-f01b-4b52-807f-373babb1c368