Data comprise soil organic carbon content from a simulation using the ECOSSE model; a pool-based carbon and nitrogen turnover model. Simulations were performed using input data from the Sunjia research farm in southeast China (Jianxi province). Data here is from simulations using the global version of the ECOSSE model, a package which applies the regular model spatially. Input data for the simulations were provided by the soil science department of the Chinese Academy of Sciences. Simulations were conducted in 2018. Full details about this dataset can be found at https://doi.org/10.5285/876fa724-c3d3-4091-8de2-8140b7c973eb

Saturated hydraulic conductivity, bulk density and soil organic carbon content were determined on soil samples extracted from the upper 50 cm of the soil profile for three paired upland woodland and grassland sites in northern England. The site pairs consisted of new deciduous plantation (less than five years old) and pasture, Fifteen year old deciduous plantation and pasture, and finally a site with mature deciduous woodland and pasture. Comparisons were made between woodland and pasture soil properties. The work was supported by the Natural Environment Research Council Grant NE/R004595/1: Optimising Natural Flood risk Management (NFM) in headwater catchments to protect downstream communities. Full details about this dataset can be found at https://doi.org/10.5285/03bbb1a9-703b-484b-aa16-5924c11e1f2d

Data comprise soil organic carbon (SOC) content from soil simulations in a small agricultural catchment (Sunjia) which is part of the Critical Zone Observatory (CZO) in southeast China (Jianxi province). The simulations were performed using the ECOSSE model (a pool-based carbon and nitrogen turnover model) and soil and climate input data were provided by the research farm at the soil science department of the Chinese Academy of Sciences. Simulations were conducted in 2018. Full details about this dataset can be found at https://doi.org/10.5285/f8955c65-0103-4a26-9078-f34ec6a28676

This dataset includes sediment trap, sediment core and loss-on-ignition to total organic carbon measurements from a PhD research project at Rostherne Mere in Cheshire. These data were collected to show the relationship between the changing nutrient loads and subsequent organic carbon burial over the last 120 years. The sediment trap data cover the period from May 2010 to August 2016, while the sediment core was taken in September 2011 and has been 210Pb dated to circa 1360AD. All data is presented for date, loss-on-ignition (LOI) and calcium carbonate (CaCO3), with sediment trap data converted into net flux measurements and sediment core data calculated for net sedimentation rate following 210Pb dating. The conversion from LOI to total organic carbon was measured using mass spectrometry and applied to the trap and core data. The work was carried out as part of a Natural Environment Research Council (NERC) funded PhD [grant number NE/L002493/1], with part of the work also funded by the NERC small grant [grant number NE/H011978/1]. Full details about this dataset can be found at https://doi.org/10.5285/8616c1a0-6c6d-441c-9b10-8464dc4ee346

This dataset contains information about planktonic bacterial quantity at the drinking water pumping stations installed in three different aquifer types of England. The aim of data collection was to assess spatial and seasonal variation of groundwater bacterioplankton distribution and their dependence on organic matter, nutrient concentration and local hydrogeology. Untreated groundwater samples were collected from the intergranular sandstone aquifer of English Midlands and East Midlands, the dual porosity chalk aquifer of South East England and the karstic limestone aquifer of the Cotswolds. For temporal variation in each aquifer, the same aquifers were sampled during pre-recharge season in September-October 2022 and post-recharge season in January-February 2023. Full details about this dataset can be found at https://doi.org/10.5285/b27ce2ee-89ee-428d-bcd5-4abd97141d62

This data set includes a range of physico-chemical properties measured from topsoil within a wide range of land use types across Wales, collected as part of the Glastir Monitoring and Evaluation Programme (GMEP). The properties included are: soil organic matter (loss on ignition (LOI)), derived carbon concentration, total soil organic carbon (SOC), nitrogen, total soil phosphorous, Olsen-phosphorous (within improved land only), pH, electrical conductivity, soil bulk density of fine earth, fine earth volumetric water content when sampled and soil water repellency - water drop penetration time. The monitoring programme was set up by the Welsh Government in 2013 to monitor the effects of the Glastir agri-environment scheme on the environment and ran from 2013 to 2016. The field survey element was based on a stratified random sampling design of 300 x 1km square sites across Wales, and was managed by the Centre for Ecology & Hydrology. Full details about this dataset can be found at https://doi.org/10.5285/0fa51dc6-1537-4ad6-9d06-e476c137ed09

The dataset comprises of physical and biogeochemical measurements of belowground (root) biomass from across four Scottish saltmarshes. Sites were chosen to represent contrasting habitats types in Scotland, in particular sediment types, vegetation and sea level history. The data provide a quantitative measure of belowground (root) biomass, organic carbon content and belowground (root) carbon. Samples were collected using a wide gauge gouge corer. The samples were processed to determine belowground (root) biomass, the organic carbon was quantified through elemental analysis and these two data sets were combined to calculate the belowground (root) carbon content. The data were collected to help create a detailed picture of saltmarsh carbon storage in surficial soils across Scotland. The work was carried out under the NERC programme - Carbon Storage in Intertidal Environment (C-SIDE), NERC grant reference NE/R010846/1 Full details about this dataset can be found at https://doi.org/10.5285/032627e0-5780-4601-b9b3-e684403cee70

This dataset includes a range of physico-chemical properties measured from topsoil (0-15 cm) within a wide range of land use types across Wales, collected as part of the Environment and Rural Affairs Monitoring & Modelling Programme (ERAMMP) between 2021 and 2023. The properties included are: soil organic matter (loss on ignition (LOI)), derived carbon concentration, total soil organic carbon (SOC), nitrogen, total soil phosphorous, Olsen-phosphorous (within improved land only), pH, electrical conductivity, soil bulk density of fine earth, fine earth volumetric water content, gravimetric water content, and soil group. ERAMMP is a resurvey of the 300 locations from the initial monitoring program (300 1km squares) on a rolling annual basis, with the aim to resurvey all sites between 2021 and 2025. Between 2021-2023, ERAMMP resurveyed 224 of those 300 were resurveyed for soil monitoring. The GMEP project was set up by the Welsh Government in 2013 to monitor the effects of the Glastir agri-environment scheme on the environment and ran from 2013 to 2016. The field survey element was based on a stratified random sampling design of 300 x 1km square sites across Wales and was managed by the UK Centre for Ecology & Hydrology (UKCEH). Full details about this dataset can be found at https://doi.org/10.5285/deabe608-fc6e-4d3a-812f-fb08ae515121

The dataset details organic carbon content of sediments across 6 intertidal sites in the winter and summer of 2013. The data provide a quantitative measure of the organic carbon present within surface sediments (up to a depth of 2 cm). Three sites were located in Essex, South East England and the other 3 in Morecambe Bay, North West England. Each site consisted of a saltmarsh habitat and adjacent mudflat habitat. 22 sampling quadrats were placed in each habitat covering 4 spatial scales. 3 replicate samples of surface sediment were collected at each quadrat. They were then processed for organic carbon content using the Loss on Ignition method (detailed below) Values are expressed as a percentage of the total sample collected. This data was collected as part of Coastal Biodiversity and Ecosystem Service Sustainability (CBESS): NE/J015644/1. The project was funded with support from the Biodiversity and Ecosystem Service Sustainability (BESS) programme. BESS is a six-year programme (2011-2017) funded by the UK Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) as part of the UK's Living with Environmental Change (LWEC) programme. Full details about this dataset can be found at https://doi.org/10.5285/d4e9f0f7-637a-4aa4-b9df-2a4ca5bfaded

Aquatic carbon (dissolved inorganic carbon (DIC), dissolved organic carbon (DOC) and particulate organic carbon and the carbon isotopic composition of DIC) and nutrients (calcium, magnesium, potassium, sodium, total soluble phosphorus and silica) in rainfall fractions (rainwater, throughfall, stemflow and overland flow) were sampled in the Western Amazonian basin. The samples were collected towards the end of a wet season April - May 2012. Rainfall and throughfall samples were collected in plastic buckets. Stemflow samples were collected using stemflow collection systems. Overland samples were collected using a a plastic pipe cut lengthways directing flow into a plastic bucket. Established standard methods were used to analyse the DIC, DOC and nutrients. These methods are outlined in the lineage. The samples were taken to understand the nutrient and carbon delivery in rainwater as well as leaching from tree canopies, stems and from the soil surface. The data collection was carried out as part of the Natural Environment Research Council (NERC) funded Amazonica project (NE/F005482/1). Full details about this dataset can be found at https://doi.org/10.5285/59bdb8f6-fb1f-418f-a53c-394f6c68a334