[THIS DATASET HAS BEEN WITHDRAWN]. This data set comprises of weekly water quality monitoring data of seven sites along the River Thames, UK, and fifteen of its major tributaries from February 2009 to February 2013. Parameters measured were phosphorus and nitrogen species, dissolved reactive silicon, water temperature, pH, Gran alkalinity, suspended solids, chlorophyll and major dissolved anions (fluoride, chloride, bromide, sulphate) and cations (sodium, potassium, calcium, magnesium, boron). Dissolved and total iron, manganese, zinc, copper concentrations have also been produced from August 2010 to February 2013. The accompanying daily river flow data are also supplied. Samples were taken as part of the Centre for Ecology & Hydrology's Thames Initiative monitoring programme. Full details about this dataset can be found at https://doi.org/10.5285/e4c300b1-8bc3-4df2-b23a-e72e67eef2fd

[THIS DATASET HAS BEEN WITHDRAWN]. This data set comprises weekly water quality monitoring data of seven sites along the River Thames, UK, and sixteen of its major tributaries from March 2009 to September 2017. Parameters measured were phosphorus and nitrogen species, dissolved reactive silicon, water temperature, pH, Gran alkalinity, suspended solids, chlorophyll and major dissolved anions (fluoride, chloride, bromide, sulphate) and cations (sodium, potassium, calcium, magnesium, boron). Dissolved and total iron, manganese, zinc and copper concentrations have also been produced from August 2010 to February 2013. The accompanying daily river flow data are also supplied. Samples were taken as part of the UK Centre for Ecology & Hydrology's Thames Initiative monitoring programme. 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/cf10ea9a-a249-4074-ac0c-e0c3079e5e45

Data comprise a set of broadleaf afforestation scenarios (provided as netCDF files) that may be run with the Joint UK Land Environment Simulator (JULES), a community land surface model. The scenarios are based on the CEH Land Cover 2000 classification. Afforestation takes place according to catchment structure and existing land cover. Scenarios cover twelve river catchments in Great Britain: Dee, Tay, Ouse, Ure, Derwent, Thames, Avon, Tamar, Severn at Bewdley , Severn at Haw Bridge, Ribble and Clyde. Afforestation scenarios relate to two catchment properties: - (1) River network structure and (2) Land use. By using these two catchment properties, in conjunction with different extents of afforestation, up to 288 afforestation scenarios per catchment are generated. This dataset was created as part of the NERC doctoral training partnerships (grant number NE/L002612/1). Full details about this dataset can be found at https://doi.org/10.5285/f484ff54-9139-462e-b37a-347a69f78500

This dataset includes a description of the flora on Somerford Mead, Oxford for the period 1987 to 2014. During the period 1991 to 2014, a grazing experiment was conducted on the meadow, in which individual plots were either grazed by sheep, grazed by cattle or left ungrazed following the annual hay cut. The data consist of list of all plant species found at sample locations within each plot together with an estimate of abundance. Full details about this dataset can be found at https://doi.org/10.5285/691a823c-d1da-4420-837c-3c30ce83818b

This dataset contains information about soil near-surface physical and hydrological properties, vegetation observations and land use & management information across the Thames catchment (UK). It was collected during the ‘Landwise' project's ‘Broad-scale field survey' which sampled 1836 location points across a total of 164 fields/land parcels. The aim of the survey was to quantify the impact of innovative land use and management on soil properties, with implications for natural flood management. The surveyed fields were selected to represent four broad land use and management classes (arable with and without grass in rotation, permanent grassland and broadleaf woodland) and five generalised soil/geology classes. Approximately eight fields were sampled for each of the twenty combinations of land use and soil/geology class. The sampled fields cover a range of traditional and innovative agricultural practices. Within each field/parcel, representative sampling locations were selected to cover the anticipated range of soil variability, including typical infield, untrafficked margins and trafficked headlands/tramlines etc. Sampling was undertaken once during the period 2018-2021. Samples were measured and analysed using a range of field and laboratory techniques (see Data Lineage). Point data include: 1. Survey point location (British National Grid coordinates) 2. Soil quantitative measurements (near-surface: 0 – 50 mm below ground level): dry bulk density, volumetric water content, organic matter, derived porosity, derived porosity accounting for variable organic matter, particle size distribution and texture classification 3. Vegetation quantitative measurements: maximum and minimum height 4. Soil qualitative measurements: hand texture classification, aggregate stability test slaking and dispersion results, hydrochloric acid test for calcareous soil, and for a subset of locations Visual Evaluation of Soil Structure (VESS) score 5. Observations (also classified into groups): soil surface condition (e.g. slaked/unslaked/capped/poached etc.), vegetation type Field contextual data include: 1. Land owner/manager responses to a land use and management questionnaire (primary data) including information on: crop types/rotation, cover crops, herbal leys, organic or conventional, organic amendments, lime additions, tillage, last ploughed, tramlines, buffer strips, field drainage, grass species, livestock, last grazed, stocking density, grazing weeks per year, stock out-wintering, mob or paddock grazing, woodland management, tree species, woodland age, path management, land use history, flooding history, waterlogging, water or sediment runoff 2. Classification of selected questionnaire free text responses into categories (derived secondary data) 3. General field observations (primary data) including: slope gradient and shape, surface form, surface water, surface condition (slaking, capped, ruts, wheelings, poaching etc.), soil erosion or deposition features As agreed with the survey participants, this dataset has been anonymised by removing location specific information, such as farm and field names, along with any other personally identifiable information. As also agreed, point data location coordinates have been degraded to the nearest 1 km grid point. The dataset was co-produced by the UK Centre for Ecology and Hydrology and Landwise Partners as part of the Landwise Natural Flood Management project, supported by the Natural Environment Research Council (Grant NE/R004668/1). The participation and assistance of the land owners and managers is gratefully acknowledged. Full details about this dataset can be found at https://doi.org/10.5285/9ab5285f-e9c4-4588-ba21-476e79e87668