The dataset contains a stratified survey of ecological and soil states at sites where fine scale patterns of covariation between vegetation and edaphic characteristics were recorded. Key data collection included leaf area index, moss and organic matter thickness, surface and deeper soil moisture. Data were collected at sites in the Yukon (2013) and Northwest Territories (2014), Canada. Full details about this dataset can be found at https://doi.org/10.5285/36f4e380-d01d-44a7-8321-7a677e6996b2

The data represent a quantitative measure of aboveground (vegetation) biomass, organic carbon content and aboveground (vegetation) carbon from 144 vegetation samples collected across ten UK saltmarshes between 2019 and 2020. Sites were chosen to represent contrasting habitat types in the United Kingdom, in particular sediment types, vegetation, and sea level history. Full details about this dataset can be found at https://doi.org/10.5285/f71c9f3e-0ae1-4318-a3ea-1dd30b7af3be

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 presents modelled estimates of soil carbon concentration (g kg-1) at 1km2 resolution across Great Britain. A Generalized Additive Model approach was used with Countryside Survey soil carbon data from 2007 and including climate, atmospheric deposition, habitat, soil and spatial predictors. The model is based on soil carbon data from 2446 locations across Great Britain and is representative of 0-15 cm soil depth. 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. 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. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/3aaa52d3-918a-4f95-b065-32f33e45d4f6

This dataset presents estimates of mean values within selected habitats and parent material characteristics made using Countryside Survey (CS) data from 1978, 1998 and 2007 using a mixed model approach (see Scott, 2008 for further details of similar statistical analysis - http://nora.nerc.ac.uk/id/eprint/5202/1/CS_UK_2007_TR4%5B1%5D.pdf ). Countryside Survey topsoil 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). A total of 2614 cores from 591 1km x 1km squares across Great Britain were collected and analysed in 2007 (see Emmett et al. 2010 for further details of sampling and methods http://nora.nerc.ac.uk/id/eprint/5201/1/CS_UK_2007_TR3%5B1%5D.pdf ). Loss-on-ignition (LOI) 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. 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. The parent material characteristic used was that which minimised AIC in each model (see Supporting Information). 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. 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. Full details about this dataset can be found at https://doi.org/10.5285/9e4451f8-23d3-40dc-9302-73e30ad3dd76

The data comprises of dimensions of large wood pieces and the isotope composition (radiocarbon, stable carbon isotopes) of cellulose extracted from the wood samples. Large Wood (LW) samples were collected from the Mackenzie River delta region, Northwest Territories, Canada, in August 2019 and were analysed at the National Environmental Isotope Facility, UK. The scientific aims were to help constrain the source and age of wood carried by this large river system draining to the Arctic Ocean. Full details about this dataset can be found at https://doi.org/10.5285/19be1a45-c457-40af-a582-395257d7a3b0

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

These data are chemical and physical data of stream water and their evolution over incubation experiments conducted on water samples taken from three headwater streams from the Conwy catchment in North Wales. Incubations involved different treatments, controlled light exposure, sterilization, and nutrient enrichment (nitrogen and phosphorus). The measured parameters are concentrations of organic carbon, total nitrogen, and major anions and cations and parameters such as pH, electrical conductivity, and absorbance. Samples were collected on two occasions for each stream between May 2014 and September 2014. Five litres of water sample were collected on the field and brought back to the laboratory for six-day incubations. Incubation started immediately after sampling. Incubation experiments were conducted in the Centre for Ecology & Hydrology laboratory, Bangor, United Kingdom. Incubations were carried out in a Bangor University laboratory using an experimental set-up built for allowing the control of light exposure. Analyses were performed in the Centre for Ecology & Hydrology (CEH) laboratory. The different treatments involved samples being kept in the dark or exposed to controlled light; additionally between 6 to 12 light-exposed samples were poisoned with Mercury(II) chloride (HgCl2) or enriched with nutrients (Nitrogen as nitrate, Phosphorus as phosphate or both). The data were collected to understand the fate of dissolved organic carbon in headwater streams depending on its sources, nature and on the inorganic nutrients availability in the headwater streams. When there was a doubt on the values, the analysis was redone, all values in the database have been validated. The sampling, incubations and analyses where performed by Ophelie Fovet, L'Institut National de la Recherche Agronomique (INRA) Rennes, L'Unité mixte de Recherche Sol Agro et hydrosystèmes Spatialisation (UMR SAS), France and co-ordinated by Chris Evans, CEH Bangor, Wales, UK. Full details about this dataset can be found at https://doi.org/10.5285/eeffacad-1f23-456a-aac0-1bda40958f75

The data set contains grain size distributions, organic matter (OM) contents and trace metals distribution metal distribution (Fe, Zn, Cu, Cr and Pb) of seven (7) shallow cores of sediments from the Notwane Dam (southern Botswana). The cores have been collected with a push corer using PVC pipes of 5 cm diameter by a team from BIUST led by Dr. Franchi between November 2017 and February 2018. The data were collected as part of the PULA project, which aimed at understanding the immediate effect of heavy rainfall and floods on water resources in arid Botswana and their transitional hydrologic readjustment towards the dry period, and the role of these events in supporting either or both resources replenishment and contamination. Grain size profiles of the cores have been obtained by analyzing wet sediments with a laser diffraction particle size analyzer. The OM content of the sediments was obtained by measuring the loss on ignition (LOI) of bulk sediments after calcination in a muffle furnace. The sediments have been analyzed for trace metal distribution using a Microwave Plasma-Atomic Emission Spectrometer (MP-AES). The grain size distribution has allowed to pinpoint the presence of flood couplets, characterized by coarse lags followed by fine grained materials. The trace metal distribution profiles have been compared with the flood couplets to assess the entity of metal mobilization during floods and subsequent droughts. Full details about this dataset can be found at https://doi.org/10.5285/022b3fff-55d7-46f5-b11f-2f7366e508b0

This dataset includes measurements of microbial community composition by phospholipid fatty acid (PLFA) analysis, soil respiration (Carbon dioxide (CO2)), soil physico-chemical properties and 13C enrichment in CO2 samples and microbial Phospholipid Fatty Acids (PLFAs). Data were produced for an investigation of the effects of carbon (C) substrate addition on soil carbon cycling processes in ten tropical soils from the Peruvian Andes. Soils were amended with 13C labelled substrates (xylose, glycine, vanillin and hemicellulose) and incubated under controlled conditions for seven days. Full details about this dataset can be found at https://doi.org/10.5285/cc264d08-ba89-42f0-a7cf-9c9477e1e2bd