This dataset contains information on soil physico-chemical characteristics and palm nutrient concentrations collected in 2019 across twenty-five smallholder oil palm farms in Perak, Malaysia. Leaf and rachis were sampled from 3 palms within each plot. Soils were sampled to 30cm depth in the palm circle of the same 3 palms and the adjacent inter-row area. These data were collected to assess the soil condition and nutritional status of oil palms across smallholder farms. This information was used to advise on best agronomic practice. The work was supported by the Natural Environment Research Council (Grant No. 355 NE/R000131/1). Full details about this dataset can be found at https://doi.org/10.5285/4d3813b6-714b-403a-aeeb-e2fa518a1520

This data resource contains soil physico-chemical data from eight agricultural sites across the UK sampled during September 2022 and October 2022. For all sites, the data resource presents results for a range of soil characteristics including, pH, soil moisture, stone content, bulk density, organic matter content, soil texture, and total carbon and nitrogen content. Thermo-Gravimetric Analyses (TGA) was performed at one site due to atypically high values for total carbon content. The soil samples were collected using a Split tube sampler. The soil samples were processed at UKCEH laboratories from September 2022 through to August 2023. Sample collection and analysis was performed by project staff. The samples were taken to provide soil baseline data at the eight sites before the planting of perennial biomass crops. The project was funded by the Department for Energy Security & Net Zero (formally the Department for Business, Energy & Industrial Strategy (BEIS)) (Client reference - CEH-303). Full details about this dataset can be found at https://doi.org/10.5285/8c87a397-a010-48a4-8ca5-0f3742c2d857

This dataset details information collected from smallholder oil palm farms in Sabah, Malaysian Borneo. Including: management practices, oil palm fruit yield, understorey vegetation, and soil chemical properties (SOC, total N, total P and available P). We collected data between August to November 2019 from 40 smallholdings (defined as farms < 50 ha) across six governance areas in Sabah. We used responses from face-to-face questionnaires to collect information about their management practices, including Best Management Practices (BMPs), and reported Fresh Fruit Bunch (FFB) yields. We also carried out field surveys on these farms to quantify vegetation cover and soil chemical properties. All smallholder farms had mature fruiting trees i.e. > 8 years since planting. The project received ethical approval from the Biology Ethics Committee, University of York (Ref. SGA201906), and permission from the Sabah Biodiversity Council (Ref. JKM/MBS.1000-2/2 JLD.8), Danum Valley Management Committee (Ref. YS/DVMC/2019/27), and South East Asia Rainforest Research Partnership (project number 18033) for permission to conduct our research in Sabah, Malaysia. This work was funded by the NERC iCASE studentship (NE/R007624/1) and Proforest. Full details about this dataset can be found at https://doi.org/10.5285/38487932-b32a-4b15-9fda-ea812c463466

We determined the soil hydrological characteristics for 51 sites located in three regions in the Corridor Ankeniheny-Zahamena (CAZ) in Madagascar. The sites differed in terms of land use and land history: closed canopy forests, reforestation sites, tree fallows, shrub fallows, degraded grassland sites and eucalyptus plantations. Full details about this dataset can be found at https://doi.org/10.5285/7987c6d4-973d-436d-a13b-c52997d0bce5

This dataset contains biogeochemical and edaphic information from burned peat soil on the Stalybridge estate located near Manchester (UK), commonly referred to as Saddleworth moor. This study was conducted after a wildfire fire on the Saddleworth moor in June 2018. The sample plots included areas with deep and shallow peat burn. The data includes geographical information (location, elevation and slope), soil temperature and soil chemical composition (carbon, nitrogen and 22 other elements). The dataset is the result of research funded by a NERC Urgency grant entitled 'RECOUP-Moor: Restoring Ecosystem CarbOn Uptake of Post-fire Moorland' (NE/S011943/1, led by Dr. Bjorn Robroek of the University of Southampton (now Radboud University Nijmegen, the Netherlands). Full details about this dataset can be found at https://doi.org/10.5285/1fa8d605-b996-4687-ace2-1fa59cd5c6dd

This dataset contains soil chemical, physical and biological properties for up to six soil layers between 0 and 100 cm, measured once at each of the five long-term grassland-to-woodland land use contrasts across England between November 2018 and March 2019. Each of the plots was further divided into three grids (grassland grids 1 to 3 / woodland grids 4 to 6) with grids 1 and 6 being the furthest apart. The contrast boundary is between grids 3 and 4. In each plot, nine sampling locations were randomly sampled (three in each grid). The five grassland-to-woodland contrasts were located across England: Gisburn (Gisburn-1, Gisburn-2), Alice Holt, Wytham Woods, and Kielder Forest. Common soil physical and chemical properties were measured; field water content, soil water content, electrical conductivity, bulk density, pH in DIW, pH in CaCl2, Loss-on-ignition, total soil carbon, total soil nitrogen, and total soil phosphorus. Less common properties were also measured; extractable soil nitrogen, dissolved organic carbon, soil aggregate sizes, and soil texture. And for specific soil cores these additional following properties were measured; soil density fractions and their carbon and nitrogen contents, cation exchange capacity, Sodium concentration, potassium concentration, calcium concentration, magnesium concentration, and extracellular enzyme activities. Derived metrics resulting from the bioinformatic processing of the raw sequence files are provided as part this dataset. The properties in this dataset are co-located with ANPP estimates, litter layer depth measurements, soil hydraulic measurements (soil water release curves and hydraulic conductivity), earthworm counts and identification. A file is provided to connect all co-located measurements. Full details about this dataset can be found at https://doi.org/10.5285/8a2451f8-7999-47c4-9e2a-8e9567377ffb

Data comprise results of a soil survey in England, Scotland and Wales carried out during 2013 and 2014 as part of the NERC Macronutrient Cycles project: LTLS : Analysing and simulating long-term and large-scale interactions of carbon nitrogen and phosphorus in UK land, freshwater and atmosphere. The data include bulk density measurements, charcoal and coal determinations, site locations and sampling dates, site vegetation data, soil chemistry and isotope data, soil classifications, information on soil cores collected and soil texture data. Full details about this dataset can be found at https://doi.org/10.5285/17bebd7e-d342-49fd-b631-841ff148ecb0

[THIS DATASET HAS BEEN WITHDRAWN]. This dataset contains soil chemical, physical and biological properties for up to six soil layers between 0 and 100 cm, measured once at each of the five long-term grassland-to-woodland land use contrasts across England between November 2018 and March 2019. Each of the plots was further divided into three grids (grassland grids 1 to 3 / woodland grids 4 to 6) with grids 1 and 6 being the furthest apart. The contrast boundary is between grids 3 and 4. In each plot, nine sampling locations were randomly sampled (three in each grid). The five grassland-to-woodland contrasts were located across England: Gisburn (Gisburn-1, Gisburn-2), Alice Holt, Wytham Woods, and Kielder Forest. Common soil physical and chemical properties were measured; field water content, soil water content, electrical conductivity, bulk density, pH in DIW, pH in CaCl2, Loss-on-ignition, total soil carbon, total soil nitrogen, and total soil phosphorus. Less common properties were also measured; extractable soil nitrogen, dissolved organic carbon, soil aggregate sizes, and soil texture. And for specific soil cores these additional following properties were measured; soil density fractions and their carbon and nitrogen contents, cation exchange capacity, Sodium concentration, potassium concentration, calcium concentration, magnesium concentration, and extracellular enzyme activities. Derived metrics resulting from the bioinformatic processing of the raw sequence files are provided as part this dataset. The properties in this dataset are co-located with ANPP estimates, litter layer depth measurements, soil hydraulic measurements (soil water release curves and hydraulic conductivity), earthworm counts and identification. A file is provided to connect all co-located measurements. Full details about this dataset can be found at https://doi.org/10.5285/f127b12d-a54f-4ab8-9697-b8154b81c4bd

Data comprise soil microbial and biogeochemical data collected during a climate and vegetation change experiment conducted across three valleys in Tyrol, in the Austrian Alps. Sites were located near the villages of Obergurgl (lat., long. = 46.844833, 11.023783; mean elevation = 2279m), Soelden (46.978367, 10.972217, mean elevation = 2469m) and Vent (46.863217, 10.896800, mean elevation = 2472m). Soil microbial data include phospholipid fatty acid (PLFA) analyses, and bacterial (16S Small subunit ribosomal RNA) and fungal (internal transcribed spacer region 2) high throughput sequences. Soil biogeochemical data include soil extracellular enzyme activities, soil pH, gravimetric moisture content and various C and N pools and fluxes. The experiment was funded by NERC project NE/N009452/1. Full details about this dataset can be found at https://doi.org/10.5285/977c422d-8529-432d-85d7-5de3c8dfdc5d

The dataset consists of 21 physico-chemical parameters (moisture concentration, pH value, electrical conductivity, the concentrations of total organic C and N, Ca, Cu, Fe, K, Mg, Mn, Ni, P, Zn, and those of water-extractable phosphate ions, sulphate ions, chloride ion, ammonium-N ions, nitrate/nitrite-N ions and dissolved organic carbon) measured in 29 soils gathered from along a latitudinal transect between Signy Island (60 degrees South) and south-eastern Alexander Island (72 degrees South) in November 2007-February 2008. Funding was provided by NERC grants NE/D00893X/1; AFI 7/05