[THIS DATASET HAS BEEN WITHDRAWN]. 1 km gridded estimates of daily and monthly rainfall for Great-Britain and Northern Ireland (together with approximately 3000 km2 of catchment in the Republic of Ireland) from 1890 to 2015. The rainfall estimates are derived from the Met Office national database of observed precipitation. To derive the estimates, monthly and daily (when complete month available) precipitation totals from the UK rain gauge network are used. The natural neighbour interpolation methodology, including a normalisation step based on average annual rainfall, was used to generate the daily and monthly estimates. The estimated rainfall on a given day refers to the rainfall amount precipitated in 24 hours between 9am on that day until 9am on the following day. The CEH-GEAR dataset has been developed according to the guidance provided in BS 7843-4:2012. Full details about this dataset can be found at https://doi.org/10.5285/33604ea0-c238-4488-813d-0ad9ab7c51ca

[THIS DATASET HAS BEEN WITHDRAWN]. 1 km gridded estimates of daily and monthly rainfall for Great-Britain and Northern Ireland (together with approximately 3000 km2 of catchment in the Republic of Ireland) from 1890 to 2017. The rainfall estimates are derived from the Met Office national database of observed precipitation. To derive the estimates, monthly and daily (when complete month available) precipitation totals from the UK rain gauge network are used. The natural neighbour interpolation methodology, including a normalisation step based on average annual rainfall, was used to generate the daily and monthly estimates. The estimated rainfall on a given day refers to the rainfall amount precipitated in 24 hours between 9am on that day until 9am on the following day. The CEH-GEAR dataset has been developed according to the guidance provided in BS 7843-4:2012. Full details about this dataset can be found at https://doi.org/10.5285/ee9ab43d-a4fe-4e73-afd5-cd4fc4c82556

This dataset contains in situ CO2 efflux, root production and fungal hyphae production from plots distributed across a subarctic landscape in Northern Sweden. 6 paired plots were established in mountain birch forest and 5 paired plots were established in tall shrub tundra where one of each pair was 'girdled' and one acted as a non girdled 'control'. Efflux measurements were made during six sampling campaigns over 2017 and 2018 at an approximate frequency of once per week during each campaign, constituting a time series of measurements. Production measurements integrated root or hyphae production over the whole growing season (June-September) and therefore there is one datapoint per plot per year. Full details about this dataset can be found at https://doi.org/10.5285/4418c631-c39c-467c-b3b8-c75142fcae0a

This data set includes longitudinal occurrence of bird species at 36 forest plots – half of which burned during the 2015-16 El Niño drought – distributed across a gradient of prior human disturbance in the Brazilian Amazon. Data was collected in 2010 and 2016 (around 6 years before, and one year after the 2015-16 El Niño, respectively) as part of the projects 'Assessing ENSO-induced Fire Impacts in tropical Rainforest Ecosystems' (AFIRE) and 'Biodiversity and Ecosystem Functioning in degraded and recovering Amazonian and Atlantic Forests' (ECOFOR), within the NERC Human-Modified Tropical Forest (HTMF) programme. Full details about this dataset can be found at https://doi.org/10.5285/4b05caee-a3c8-46a7-b675-e5a94554bd9f

This dataset represents the hydro-meteorological monitoring activities undertaken in Ouagadougou, Burkina Faso, during 2016-2018, as part of the DFID funded AMMA-2050 (African Monsoon Multidisciplinary Analysis) project (amma2050.org). The data comprises time series of rainfall, water level and river flow recorded at locations across Ouagadougou city for the purposes of building an understanding of hydrological function and hydrological model development. In-situ data were collected using tipping bucket raingauges and pressure level sensors, with spot gauging of river flows used to develop rating curves used to derive flow from level measurements in channels. The network was designed and set-up by the UK Centre for Ecology and Hydrology (UKCEH) and maintained by the Burkina Faso Institut International d’Ingenierie de l’Eau et de l’Environment (2iE) and processing was undertaken by UKCEH. Full details about this dataset can be found at https://doi.org/10.5285/30ae0230-e352-4a82-901d-ac1d42449044

Regular temperature, rainfall and other weather data, as collected between February 1999 and September 2002 from an on-site Automatic Weather Station, located on experimental plots at Sourhope, Scotland. Data were collected as part of the NERC Soil Biodiversity Thematic Programme, which was established in 1999 and was centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (now the James Hutton Institute) farm at Sourhope in the Scottish Borders (Grid reference: NT8545019630). During this time, the site was monitored to assess changes in above-ground biomass production (productivity), species composition and relative abundance (diversity). Full details about this dataset can be found at https://doi.org/10.5285/e6e835ae-99e6-445e-b0dc-0d0db44e310a

This dataset includes litterfall data from the experimental plots at the Climoor field site in the Clocaenog forest, NE Wales. Litterfall (natural senesced plant material) was collected in litterfall traps (12 x 7.5cm pots standing slightly proud of the soil/litter surface, emptied monthly). Litterfall was calculated by drying the contents of the traps and weighing the samples; values were calculated for each quadrat (total weight (g) only) and for each plot (total weight (g) and weight per metre squared (g/m2)). Data spans the periods Oct 1999 to Jan 2004 and July 2008 to June 2011. Data was collected by CEH staff and PhD students trained in the use of the methods. Climoor is a climate change manipulation experiment that utilises automated roof technology to produce drought and warming experimental treatments that reflect climate change predictions for the next 20-30 years. Full details about this dataset can be found at https://doi.org/10.5285/f200ea72-574d-44da-955c-de0fb024eafe

The dataset contains annual soil greenhouse gas emissions following sheep urine (real and artificial) applications to a semi-improved upland grassland in North Wales, UK, across two seasons (spring and autumn) within the year 2016-2017. Soil greenhouse gas data were collected using a combination of automated chambers and manually sampled chambers, both analysed via gas chromatography. Supporting data include meteorological data, soil chemistry and above ground biomass data collected on a time-series throughout the study, following urine application. The data were used to calculate sheep urine patch nitrous oxide emission factors from an upland environment, to improve estimates of greenhouse gas emissions from extensively grazed agroecosystems. Full details about this dataset can be found at https://doi.org/10.5285/0434c74c-4a8e-45b8-a187-13e422c0ed0f

[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 https://doi.org/10.5285/5ba28b53-6b20-4e31-9c0f-ba234ddc55ef

[THIS DATASET HAS BEEN WITHDRAWN]. This dataset includes data on the degree of herbivory and infection of the fungal pathogen, Valdensia heterodoxa, on the deciduous shrub Vaccinium myrtillus in the experiment plots at the Climoor field site in the Clocaenog Forest, NE Wales. Herbivory was measured in the summer of 2000, 2005 (control and drought plots only) and 2006. Fungal infection was measured in 2000, 2005 (control and drought plots only) 2006, 2007, 2008 and 2009. Measurements were taken at the same time as annual vegetative growth and flowering assessment at a time of maximal growth (late August- early September). Full details about this dataset can be found at https://doi.org/10.5285/4eb85182-6b40-47e9-bff6-4711750272c7