[THIS DATASET HAS BEEN WITHDRAWN]. This dataset includes a range of determinands present in soil water in the experimental plot at the Climoor field site in the Clocaenog Forest, in north-east Wales. Soil water was collected at two depths in the soil profile - approximately 5cm and 20cm. At the bottom of the rooting zone (approximately 5cm depth) zero tension lysimeters were used. At the deeper depth (approximately 20cm depth) ceramic cup suction samplers were used. Data were collected between October 1998 and March 2009 at two weekly intervals. Determinands include: pH, Ammonium nitrogen (NH4-N), Nitrate nitrogen (NO3-N), Sulphate (SO4-S), dissolved organic carbon, dissolved organic nitrogen, Calcium (Ca), Potassium (K), Magnesium (Mg), Sodium (Na), Phosphate phosphorus (PO4-P), Chloride (Cl), total dissolved phophorus and total dissolved nitrogen. Full details about this dataset can be found at https://doi.org/10.5285/1deb9ee0-a01c-4ce6-a5b0-a1ad32beeff7

This dataset includes dissolved organic radiocarbon content and dissolved organic carbon concentration data for river waters around the globe. The riverine dataset contains already published (n=1163) and new (n=101) data between the years 1962 and 2015. Soil solution data (n=139) from North American and European natural and semi-natural ecosystems are also included, which cover the period 1988 to 2008. Groundwater data containing 49 data points from boreholes in Europe and North America are also provided. Extra data including sampling dates, locations, stable isotope (13C), water quality and qualitative descriptions of the catchments are included in the dataset. Full details about this dataset can be found at https://doi.org/10.5285/06b219a8-b3ff-4db7-870a-4b1038ff53e2

Soil moisture and Electrical Resistivity Tomography (ERT) measurements within the top metre of soil at Church Field, Chimney Meadow National Nature Reserve. Church Field lies on a clay lens which overlies surrounding sand and gravel soils. Apart from the A and B horizons, the clay was found to be fairly homogenous down to the maximum depth of 1.1m of the access pit. On the 1:250,000 Soil Map of South East England the location falls into the soils category 832 Kelmscott Association which comprise mostly permeable fine loamy soils over limestone gravel and variably affected by groundwater and with some risk of flooding. However, on the more detailed 1:25,000 scale Sand and Gravel Resources Map of the Thames Valley the clay lens is depicted as Oxford Clay substrate without sand and gravel cover, surrounded by sand and gravel terraces cropping out at the surface. Full details about this dataset can be found at https://doi.org/10.5285/59da8e86-04cc-4f46-a23c-65513d025326

The model-generated dataset includes simulated daily dry matter accumulation of above-ground organs (leaves, stems and grains) of winter wheat and maize, soil water content in different soil layers and organic matter stocks in the topsoil and subsoil layers, and final crop dry matter from 1983 to 2004 (wheat) or 2015 (maize). A prediction of the variables under various future climatic scenarios is also included. The SPACSYS model was applied to a historic experimental site on the Loess Plateau in China. Observed crop yields of winter wheat from 1993 to 2004 and maize from 1983 to 2015 were used to validate the model. The validated model was run again under different climate scenarios from 2015 to 2049 to predict daily dry matter accumulation of above-ground organs including leaves, stems and grains, daily soil water content in different layers and soil organic carbon stocks in the topsoil and subsoil layers. Full details about this dataset can be found at https://doi.org/10.5285/03e74f94-88a5-4f09-b9ea-1447dd3e2b85

[THIS DATASET HAS BEEN WITHDRAWN]. This dataset contains soil hydraulic measurement data from the Climoor field site in the Clocaenog forest, in North Wales. The collection contains five data sets. 1) soil bulk density (0-5 centimetre) and saturated water content. 2) Unsaturated hydraulic conductivity measured in the field at tensions of -2 and -6 centimetre using a mini disk infiltrometer. 3) Unsaturated hydraulic conductivity measured using a HYPROP (registered trademark) instrument, an instrument which determines the hydraulic properties of soil samples, on soil cores taken from the field plots. 4) Soil water release curves for wet soil corresponding to the hydraulic conductivity measurements made using a HYPROP in the laboratory on cores from the field. 5) Soil water release curve data for dry soil measured using a WP4 potentiometer. The dataset has been quality checked, and incorrect or missing values removed, data has not been infilled and not available (NA's) have been added where there is no data. Data was collected between the end of 2010 and early 2012. Data sets 1, 3 and 4 were collected in April and September, 2011, data set 2 in May, 2012 and data set 5 in November, 2010. The Climoor field experiment intends to answer questions regarding the effects of warming and drought on ecosystem processes. The reported data were collected to monitor site specific soil properties at a specific reference time. Full details about this dataset can be found at https://doi.org/10.5285/ae7a60ac-b72d-41f5-a42c-c648769cd403

This dataset contains measured daily values of precipitation, air and soil temperature, soil water content, measured net ecosystem exchange (NEE) fluxes using eddy covariance, calculated gross primary production (GPP), terrestrial ecosystem respiration (TER) and net biome production (NBP) fluxes using an online tool (http://www.bgc-jena.mpg.de/~MDIwork/eddyproc/upload.php), measured fluxes of methane and nitrous oxide using static chambers and measured fluxes of nitrous oxide using eddy covariance, measured fluxes of nitrogen oxides (NOx) using automatic chambers, measured nitrogen (N) and carbon (C) leaching, livestock density, nitrogen and carbon input from mineral and organic fertiliser and yield of a managed grassland (Easterbush, 03°02'W, 55°52' N, 190 m a.s.l ) in South East Scotland. Data were collected between January 2002 and December 2010. Furthermore the dataset contains one off soil carbon and nitrogen data collected in 2004 and 2010. The dataset also contains monthly dry N deposition data from a field nearby Easterbush (about 300 m distance) measured with a DELTA system from 2002-2010. The data were collected as part of the three European projects GREENGRASS (EC EVK2-CT2001-00105), the NitroEurope Integrated Project (contract 017841) and CarboEurope (Contract No. GOCE-CT-2003-505572). Full details about this dataset can be found at https://doi.org/10.5285/7e6e6955-a9d7-4f8a-961e-3fa3d56d0ead

This dataset contains soil hydraulic measurement data from the Climoor field site in the Clocaenog forest, in North Wales. The collection contains five data sets. 1) soil bulk density (0-5 centimetre) and saturated water content 2) Unsaturated hydraulic conductivity measured in the field at tensions of -2 and -6 centimetre using a mini disk infiltrometer 3) Unsaturated hydraulic conductivity measured using a HYPROP (TM) instrument, an instrument which determines the hydraulic properties of soil samples, on soil cores taken from the field plots 4) Soil water release curves for wet soil corresponding to the hydraulic conductivity measurements made using a HYPROP in the laboratory on cores from the field 5) Soil water release curve data for dry soil measured using a WP4 potentiometer. The data has been quality checked, and incorrect or missing values removed, data has not been infilled and not available (NA's) have been added where there is no data. Data was collected between the end of 2010 and early 2012. Data sets 1, 3 and 4 were collected in April and September, 2011, data set 2 in May, 2012 and data set 5 in November, 2010. The Climoor field experiment intends to answer questions regarding the effects of warming and drought on ecosystem processes. The reported data were collected to monitor site specific soil properties at a specific reference time. Full details about this dataset can be found at https://doi.org/10.5285/e75620c0-547a-4756-a617-daf6180974d9

Data comprise soil microbial and biogeochemical data collected during a climate and vegetation change experiment conducted across three valleys in Tyrol, in the Austrian Alps. Sites were located near the villages of Obergurgl (lat., long. = 46.844833, 11.023783; mean elevation = 2279m), Soelden (46.978367, 10.972217, mean elevation = 2469m) and Vent (46.863217, 10.896800, mean elevation = 2472m). Soil microbial data include phospholipid fatty acid (PLFA) analyses, and bacterial (16S Small subunit ribosomal RNA) and fungal (internal transcribed spacer region 2) high throughput sequences. Soil biogeochemical data include soil extracellular enzyme activities, soil pH, gravimetric moisture content and various C and N pools and fluxes. The experiment was funded by NERC project NE/N009452/1. Full details about this dataset can be found at https://doi.org/10.5285/977c422d-8529-432d-85d7-5de3c8dfdc5d

The data consist of daily maps of volumetric soil moisture predicted by a model based on a network of cosmic-ray neutron sensors (COSMOS-UK), the National River Flow Archive (NRFA) and remotely-sensed data. Maps cover the UK and Ireland at 2 km resolution in the Ordnance Survey National Grid (OSGB) projection. Maps are produced in near-real time, lagging by about one week. Data are available from early 2016 to 2023, on a daily basis. The model was calibrated on a network of cosmic-ray neutron sensors (COSMOS-UK) and remotely-sensed soil moisture data. A key parameter was estimated from the national-scale spatial pattern in the catchment response to rainfall seen in the National River Flow Archive (NRFA) data. Precipitation and humidity data to drive the model came from the Met Office High Resolution Numerical Weather Prediction model (NWP-UKV) which incorporates the C-band rainfall radar network. The maps have a variety of uses in hydrology and elsewhere, for example as inputs to ecosystem models of greenhouse gas exchange, where soil moisture affects numerous processes. The modelling was carried out as part of UK-SCAPE Virtual Survey Lab, and the NERC project "Detection and Attribution of Regional Emissions (DARE-UK)". There are some gaps in the time series of meteorological and remote sensing inputs, and data are unavailable for these days. The NRFA data are only available for Great Britain, so estimates in Ireland and continental Europe will be less accurate. Full details about this dataset can be found at https://doi.org/10.5285/5aa8c5b4-4485-4954-b5c3-18d937a418f7

[THIS DATASET HAS BEEN WITHDRAWN]. Meteorology data from the UK Environmental Change Network (ECN) terrestrial sites. Variables measured include albedo (ground and sky), temperature (dry bulb, wet bulb and soil (at 10cm and 30cm)), relative humidity, radiation (net. and solar), rainfall, surface wetness, soil moisture, wind direction and wind speed). These data are collected by Automatic Weather Stations at all of ECN's terrestrial sites using a standard protocol. They represent continuous hourly records from 1992 to 2012. ECN is the UK's long-term environmental monitoring programme. It is a multi-agency programme sponsored by a consortium of fourteen government departments and agencies. These organisations contribute to the programme through funding either site monitoring and/or network co-ordination activities. These organisations are: Agri-Food and Biosciences Institute, Biotechnology and Biological Sciences Research Council, Cyfoeth Naturiol Cymru - Natural Resources Wales, Defence Science & Technology Laboratory, Department for Environment, Food and Rural Affairs, Environment Agency, Forestry Commission, Llywodraeth Cymru - Welsh Government, Natural England, Natural Environment Research Council, Northern Ireland Environment Agency, Scottish Environment Protection Agency, Scottish Government and Scottish Natural Heritage. Full details about this dataset can be found at https://doi.org/10.5285/e1d33b37-f1d4-4234-a0d5-8bf4e657f653