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  • Data comprise water chemistry measurements (major alkali and alkali-earth element water concentrations and trace element concentrations) recorded over two years at seven lakes in Belarus and Ukraine at distances from 1.5 to 225 km of the Chernobyl Nuclear Power Plant (CNPP). The lakes include Glubokoye, Yanovsky lakes and Cooling Pond (high (H) contaminated lakes), Svyatoye Lake (medium (M) contaminated lake) and Stoyacheye, Dvoriche and Gorova lakes (low (L) contaminated lakes). Full details about this dataset can be found at

  • Data comprise mealworm predation rates measured after 24 hours exposure to invertebrates in mature oil palm (2014), and mature and replanted oil palm (2016-2017) plots as part of a large-scale ecological experiment programme (the Biodiversity and Ecosystem Function in Tropical Agriculture project, established in 2013). Eighteen plots were examined across three estates – plots in Ujung Tanjung and Kandista estates were planted in 1987 to 1992 and are mature or over-mature oil palm, while Libo plots (2016-2017 dataset only) were replanted in 2014. Plots were organised in triplets and in in Ujung Tanjung and Kandista, for each triplet one plot was assigned to each of three vegetation treatments: Reduced vegetation cover, normal vegetation management and enhanced vegetation cover. Freshly-killed mealworms (larvae of darkling beetles, Tenebrionidae sp.) were glued onto oil palm fronds trimmed so that ca. 10 cm of each of six leaflets remained. Exclusion and stratum treatments in factorial combinations were applied: caged and uncaged, canopy and ground. The cage exclusion treatments were designed so that most invertebrates could access the fronds but vertebrates could not. Full details about this dataset can be found at

  • Data comprise of radionuclide and stable element concentrations in vegetal and animal food and feedstuffs, and their corresponding transfer coefficients and concentration ratios determined in Mediterranean ecosystems in Spain. The considered foodstuff groups are: cereals, grapevine (including wine), olive tree (including olive oil), lamb, beef, pork, and dairy products from sheep, goat and cow. The data include: elemental and radioactive concentration in soil, plants, food and feedstuffs; dry to fresh ratios for foodstuffs; animal feeding diet; estimation of overall elemental and radioactive diet concentration; transfer coefficients for vegetal foodstuffs (relating dry matter elemental and radionuclide concentration in foodstuff to the dry matter concentration in soil); and concentration ratios for animal foodstuffs (relating fresh matter elemental and radionuclide concentration in foodstuff to the dry matter concentration in feedstuff). Radionuclide concentrations presented include Ra-226, Cs-137, Ra-228 and K-40. Elemental concentrations presented include Cs, Sr, K, Na, Ca, Mg, P, Pb, U and Th. Full details about this dataset can be found at

  • [THIS DATASET HAS BEEN WITHDRAWN]. This dataset includes manual measurements of water table depth at the Climoor fieldsite in the Clocaenog Forest, north-east Wales. Water table depth was collected via water permeable tubes installed through the soil profile down to bedrock. Measurements were taken, usually every two weeks, using a tape measure and head torch to assist in seeing the water level in the tube. Data are available from May 2009 to January 2014. Full details about this dataset can be found at

  • This dataset contains time series observations of surface-atmosphere exchanges of net ecosystem carbon dioxide exchange (NEE), sensible heat (H) and latent heat (LE), and momentum (τ) for a managed lowland deep peat soil in the East Anglian Fens, England, UK. The site is managed for the production of horticultural salad crops. Measurements were made between the 22nd June 2012 and 1st January 2020 during which lettuce, leek, celery, sugar beet and potatoes crops were grown on the field. Turbulent flux densities were monitored using the micrometeorological eddy covariance (EC) technique. The dataset includes ancillary weather and soil physics observations, as well as variables describing atmospheric turbulence and the quality of the turbulent flux observations. Full details about this dataset can be found at

  • Datasets consists of the results of Computational Fluid Dynamics (CFD) flow simulations for a section of the South Saskatchewan River, Canada. The aim of these CFD simulations was to investigate the effect of dunes on the depth-averaged and near-bed flow fields. Modelling was carried out using the open source CFD package OpenFOAM to solve the three-dimensional Navier-Stokes equations. The dataset consists of two files, one with simulation results for a river bed characterised by alluvial bedforms (dunes) and one for a smooth river bed without dunes. This work was part of NERC project NE/L00738X/1. Digital Surface Models (DSMs) were constructed using imagery obtained on four occasions (13th May 2015; 2nd Sept 2016; 8th June 2017; and 12th June 2017). Full details about this dataset can be found at

  • Data comprise sample site information, dose rate, radionuclide (zirconium-95, niobium-95, ruthenium-106, caesium-134, caesium-137 and cerium-144) deposition, and exchangeable caesium-134 and 137 in soils collected from within a 60 km radius of the Chernobyl nuclear power plant (ChNPP) in 1987 following the Chernobyl nuclear accident on 26th April 1986. The work was carried out by the Ukrainian Institute of Agricultural Radiology (UIAR), a division of National University of Life and Environmental Sciences of Ukraine. Funding for preparing this data set was provided by the TREE project (funded by NERC, the Environment Agency and Radioactive Waste Management Ltd under the RATE programme) and associated iCLEAR projects (funded by NERC). Full details about this dataset can be found at

  • The datasets contains monthly Leica LS15 precise levelling data which is used to measure monthly peat surface motion from 49 points in 1km2 of upland (RSPB Forsinard Knockfin Heights) and 49 points in a 1km2 of lowland (Plantlife Munsary) blanket peatland within the Flow Country, Caithness and Sutherland. Data was obtained between August 2017 and February 2019 covering the 2018 European Drought Event. Also included are loop closures and measurement standard deviation data. Full details about this dataset can be found at

  • The data consist of stable water isotope composition in the rivers , lakes, soils and flooded areas in the Western Siberia Lowlands (WSL). Sampling area encompassed a 1700 km south-north transect spanning from approx. 56°N to 68°N in latitude and 74°E to 84°E in longitude. Samples were collected during multiple field campaigns between February 2014 and November 2016. The dataset in produced as a part of the JPI/NERC funded SIWA project "Climate impact on the carbon emission and export from Siberian inland waters". The dataset has resulted in two publications submitted to peer-review: (i) Ala-aho et al. (2018). Using stable isotopes to assess surface water source dynamics and hydrological connectivity in a high-latitude wetland and permafrost influenced landscape. Journal of Hydrology, 556, 279-293. (ii) Ala-aho et al. (2018). Permafrost and lakes control river isotope composition across a boreal Arctic transect in the Western Siberian lowlands. Environmental Research Letters, 13(3), 34028. Full details about this dataset can be found at

  • This dataset contains breakthrough curves of conservative (fluorescein) and reactive (resazurin and resorufin) tracers resulting from instantaneous tracer experiments in a lowland agricultural stream. Breakthrough curves were measured seasonally at four locations within the stream, creating three experimental reaches, in the Wood Brook, Staffordshire from July 2016 to March 2017. Breakthrough curves were measured in-situ using on-line fluorometers configured to measure the excitation of fluorescein, resazurin and resorufin every 10 seconds. The breakthrough curves were measured to determine hydrological metrics of advective transport, transient storage and aerobic respiration. The work was funded by the Natural Environment Research Council, UK through a through a Central England NERC Training Alliance Studentship and grant NE/ L004437/1, with additional funding provided by the European Union through the H2020-MSCA-RISE-2016 project 734317. Full details about this dataset can be found at