This dataset provides stream networks for three river basins in eastern Sri Lanka (Mundeni Aru, Maduru Oya and Miyangolla Ela). The stream networks were developed for use in hydrologic modelling and are provided as shapefiles. The work was supported by the Natural Environment Research Council (Grant NE/S005838/1). Full details about this dataset can be found at https://doi.org/10.5285/0537af26-5cab-4381-aca0-d997db421111

The dataset presented provides average per-farm ecosystem service (ES) values for each NUTS3 region for Europe for the year 2019. The modelled ES are: carbon sequestration [t C ha-1 yr-1], food production (standard economic output) [euros yr-1], and nutrient (nitrogen) export [kg N yr-1]. The data is stored in vector files (GeoPackage). The per-farm ES values were modelled for five sub-country case studies and upscaled for each NUTS3 region where sufficient evidence supported a successful transfer and upscaling. Note that the criteria for upscaling the carbon sequestration were not met for any NUTS3 region and therefore the carbon sequestration is returned as NULL for each region. Full details about this dataset can be found at https://doi.org/10.5285/ae96d813-6468-421f-92c0-79f367cadbc3

This dataset comprises water chemistry data for dissolved organic carbon (DOC), total dissolved nitrogen (TdN), total phosphorus (TP), soluble reactive phosphorus (SRP), absorbance at 254nm (Abs 254), specific ultraviolet absorbance (SUVA), and dissolved CH4, CO2, N2O collected at sites across the UK in 2021 and 2022. Data were obtained via collection of water samples in situ, and concentrations were derived via subsequent sample processing and analysis. Floating gas collection chambers were deployed for 24 hours at selected sites to characterise diurnal greenhouse gas emissions from various types of inland water bodies and how these are affected by water body type and seasonality. These data were generated from the Land Ocean Carbon Transfer (LOCATE) project Full details about this dataset can be found at https://doi.org/10.5285/010fa679-71d8-4b5e-b2fd-2d2ce78d02ef

This dataset contains depth to water table measurements from ten experimental microcatchments (0.4-3.9 hectares) on Stalybridge Moor, an upland peatland in the Peak District, UK. The data extend from 2019 to 2022, covering a period before and after gully blocking took place in six microcatchments, with four microcatchment kept as a non-restored control. Monthly measurements from October-February, summer/autumn. Full details about this dataset can be found at https://doi.org/10.5285/e9ffe8aa-3c17-4f3a-a3e7-5ab3add0af07

[This dataset is embargoed until December 15, 2025]. Data comprise of 13 different ecosystem services that were modelled at the 1 km2 resolution across Great Britain, mostly using data from 2015. The ecosystem services modelled were potential crop Production (in terms of calories), pollinator visits, greenhouse gas sequestration, two measures of biodiversity (biodiversity conservation index and richness index), erosion avoided, potential grassland productivity, nutrient retention, water retention, water yield, and potential timber yield. Full details about this dataset can be found at https://doi.org/10.5285/ea7f988d-5efe-44f9-84e9-2e4006166cf6

This dataset contains two gridded potential evapotranspiration variables for Great Britain from 1961-2019: daily total potential evapotranspiration (PET; kg m-2 d-1) and daily total potential evapotranspiration with interception correction (PETI; kg m-2 d-1). The variables were calculated from the Climate Hydrology and Ecology research Support System meteorology dataset for Great Britain (1961-2019) [CHESS-met] gridded observed meteorological data at 1 km resolution. The units kg m-2 d-1 are equivalent to mm d-1. The data are provided in gridded NetCDF files. There is one file for each variable, for each calendar month. Full details about this dataset can be found at https://doi.org/10.5285/bcec9c33-f863-464e-ac28-73b981bd40a4

This dataset details the allometry and leaf trait measurements in three common gardens of fifteen juvenile tree species from the Colombian Andes planted along a thermosequence (14, 22 and 26 deg C) in the Antioquia region of Colombia. Allometric data includes tree diameter at the base, total tree height and height to the first branch, crown diameters, health status, survival and percentage of herbivory attacks over ten measuring campaigns from February 2019 until January 2022. Trait data includes leaf area, thickness, dry weight, leaf mass per area total number of branches and leaves per tree. Regarding the common garden plantations the trees were planted in the ground between November 2019 and January 2019 with planting height ranging between 50 and 100 cm (species dependent). Full details about this dataset can be found at https://doi.org/10.5285/c7ce1610-aba3-4a09-bf7c-1b6c774d597a

This dataset is a compilation of water quality data for the River Frome catchment, Dorset, UK. The data have been sourced from the Environment Agency and from Wessex Water Ltd., the water utility company for the catchment area. The monitoring sites are specifically located in the lower part of the River Frome, between the Environment Agency gauging stations at Dorchester and East Stoke. The dataset includes water quality measurements for boreholes, sewage treatment work (STW) final effluents, tributaries, and main river channels. In total there are 21 monitoring sites. Water quality measurements date from 1976 to 2022. The main river channel and tributary sites are typically monitored on a monthly basis and the STW final effluents typically on a weekly basis. The borehole data can vary from weekly to monthly, depending on the determinand and borehole measured. Full details about this dataset can be found at https://doi.org/10.5285/9d98e1a7-7602-490f-9896-0eeed6eb1d40

Data comprise biological and ecological half-life values for marine, freshwater, terrestrial and riparian organisms. The database includes 1908 biological half-life values for 52 elements across a range of wildlife groups (marine, freshwater, terrestrial and riparian). The compilation of values from a range of sources was conducted by an international working group under the auspices of an International Atomic Energy Agency programme. Full details about this dataset can be found at https://doi.org/10.5285/b95c2ea7-47d2-4816-b942-68779c59bc4d