This web map service (WMS) depicts estimates of mean values of soil bacteria, invertebrates, carbon, nutrients and pH within selected habitats and parent material characteristics across GB . Estimates were made using CS data using a mixed model approach. The estimated means of habitat/parent material combinations using 2007 data are modelled on dominant habitat and parent material characteristics derived from the Land Cover Map 2007 and Parent Material Model 2009, respectively. Bacteria data is representative of 0 - 15 cm soil depth and includes bacterial community structure as assessed by ordination scores. Invertebrate data is representative of 0 - 8 cm soil depth and includes Total catch, Mite:Springtail ratio, Number of broad taxa and Shannon diversity. Gravimetric moisture content (%) data is representative of 0 - 15 cm soil depth Carbon data is representative of 0-15 cm soil depth and includes Loss-on-ignition (%), Carbon concentration (g kg-1) and Carbon density (t ha-1). Loss-on-ignition was determined by combustion of 10g dry soil at 375 deg C for 16 hours; carbon concentration was estimated by multiplying LOI by a factor of 0.55, and carbon density was estimated by combining carbon concentration with bulk density estimates. Nutrient data is representative of 0 - 15 cm soil depth and includes total nitrogen (N) concentration (%), C:N ratio and Olsen-Phosphorus (mg/kg). pH and bulk density (g cm-3) data is representative of 0 - 15 cm soil depth. Topsoil pH was measured using 10g of field moist soil with 25ml de-ionised water giving a ratio of soil to water of 1:2.5 by weight; bulk density was estimated by making detailed weight measurements throughout the soil processing procedure. Areas, such as urban and littoral rock, are not sampled by CS and therefore have no associated data. Also, in some circumstances sample sizes for particular habitat/parent material combinations were insufficient to estimate mean values.

This web map service presents modelled estimates of soil pH, carbon concentration (g kg-1), nitrogen concentration (% dry weight soil) and invertebrate density (individuals m-2) at 1km2 resolution across Great Britain. A Generalized Additive Model approach was used with Countryside Survey soil data from 2007 and including climate, atmospheric deposition, habitat, soil and spatial predictors. The models are based on data from Countryside Survey sample locations across Great Britain and are representative of 0-8cm soil depth for invertebrates and 0-15 cm soil depth for other variables. The Countryside Survey looks at a range of physical, chemical and biological properties of the topsoil from a representative sample of habitats across the UK. Loss-on-ignition (LOI) was determined by combustion of 10g dry soil at 375 degrees Celsius for 16 hours; carbon concentration was estimated by multiplying LOI by a factor of 0.55. Soil N concentration was determined using a total elemental analyser. Soil pH was measured using 10g of field moist soil with 25ml de-ionised water giving a ratio of soil to water of 1:2.5 by weight. Soil invertebrates were extracted from cores using a dry Tullgren extraction method and enumerated by microscope

Map service of soil types, geology and vegetation in the Moor House region of the Moor House - Upper Teesdale National Nature Reserve. The site lies in the North Pennine uplands of England and has an area of 74 km2. It is England's highest and largest terrestrial National Nature Reserve (NNR), a UNESCO Biosphere Reserve and a European Special Protection Area. Habitats include exposed summits, extensive blanket peatlands, upland grasslands, pastures, hay meadows and deciduous woodland. Altitude ranges from 290 to 850 m. Moor House - Upper Teesdale is part of the Environmental Change Network (ECN) which is the UK's long-term environmental monitoring programme.

[This dataset is embargoed until March 1, 2026]. Erosion risk mapping showing soil erosion potential (tonnes/yr) using the Soil Water Assessment Tool (SWAT) for the Yorkshire River Derwent, UK. The modelled data includes 29 years of weather data (1990-2019). Outputs were validated using SUFI2. This dataset builds on previous modelling using SCIMAP. Full details about this dataset can be found at https://doi.org/10.5285/822646a9-6c20-4755-97af-eb22dd43fee3

Distribution of soil parent materials in the Severn and Wye catchments. These were mapped during the Soil Hydrology Study conducted by JP Bell in 1968-1969: Bell, J.P. (1969). The Soil Hydrology of the Plynlimon Catchments. Institute of Hydrology Report No. 8, Institute of Hydrology, Wallingford, UK.

This dataset contains details of sediment geochemistry, loss-on-ignition and sediment median particle size for terrestrial sediment samples collected across the stream network of Harehill and Swineshaw Moors, Stalybridge, Tameside, Manchester. Samples were collected on three occasions in 2018 following a severe moorland wildfire (July 2018). Sediment samples were collected using stream sediment traps which accumulated sediments between the dates of sampling. Sediment traps were emptied in the field and samples were returned to the laboratory for analysis. The work was supported by the Natural Environment Research Council (Grant NE/S011560/1). Full details about this dataset can be found at https://doi.org/10.5285/ad1bb542-e75c-423f-8421-b247b2f72ce6

This dataset includes relative surface soil moisture across the Thames Valley, between October 2015 and September 2021, using backscatter radar data collected using the ESA Sentinel-1 Constellation. Radar backscatter was normalised to 40 incidence angle, using a novel monthly normalisation parameterisation. Full details about this dataset can be found at https://doi.org/10.5285/b23d63d1-dcc5-4c49-a6b5-67154f3739b7

This dataset contains baseline soil carbon and nitrogen content within a native forest creation site on the Beldorney Estate, Aberdeenshire, Scotland. 17 samples were collected on a 100 m grid at the site prior to planting. The 100 m grid was extended into adjacent grassland that won’t be planted and 8 additional samples were collected. The 100 m grid samples were all collected in September 2022. Within the planting area 17 plots were left unplanted, these will be used to track natural tree regeneration, and additional soil samples were collected here in November 2022. Soil carbon and nitrogen content will be tracked at the site as the planted and naturally regenerating trees establish. The work was supported by Natural Environment Research Council (NE/W004976/1) as part of the Agile Initiative at the Oxford Martin School and Leverhulme Trust as part of the Leverhulme Centre for Nature Recovery at the University of Oxford. Full details about this dataset can be found at https://doi.org/10.5285/75fc1418-b0ff-4dca-9b78-70c3c82d94b7

These datasets were used for a study investigating the prevalence of diurnal variability of soil nitrous oxide (N¬2O) emissions. The datasets contain 286 diurnal N¬2O flux datasets and 160 diurnal soil temperature datasets, which were extracted from 46 published journal articles that were selected from a literature search and passed through a set of eligibility criteria. The datasets also include processed diurnal N¬2O flux data, which were used to classify the diurnal N¬2O pattern of the datasets. Data of non-diurnal factors from the literature including soil pH, bulk density, soil texture, season of measurement, soil water-filled pore space, irrigation and grazing are also included in the datasets. Full details about this dataset can be found at https://doi.org/10.5285/94e37080-4383-4f6e-b14a-04ac2ac79bf0

The data comprise measurements of the 'soluble', 'adsorbed' and 'organically bound' 99Tc concentrations in a diverse set of soils following experimental addition of 99TcO4- and incubation in the laboratory under controlled temperature conditions for 897 days. The long term behaviour of 99Tc in aerobic soils was studied by conducting a laboratory-based experiment in which a set of 20 topsoils from central England with contrasting properties (e.g. pH, organic matter content, land use) were contaminated with 99TcO4- and incubated in the dark, in a moist but aerobic condition, at a temperature of 10 deg C for 2.5 yr. The physico-chemical transformations of 99Tc in each soil microcosm were periodically monitored by means of a three-step sequential extraction procedure conducted on subsamples of incubated soil. The resulting dataset enabled quantification of the kinetics of 99Tc transformation in aerobic soils as a function of soil properties and land uses (arable, grassland and moorland/woodland). The data will be useful in developing models of long-term 99Tc bioavailability in aerobic soils under temperate conditions. Full details about this dataset can be found at https://doi.org/10.5285/4622f906-e28a-4210-aa03-d2e4169b1be8