This dataset includes manual measurements in centimetres from the surface of the soil 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 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. Data are available from May 2009 to March 2015. Full details about this dataset can be found at https://doi.org/10.5285/029c060d-a061-4e27-96ff-c0826351e7e3

[THIS DATASET HAS BEEN WITHDRAWN]. This dataset includes vegetation chemistry data from the experimental plots at the Climoor field site in the Clocaenog Forest, NE Wales. It also includes data from material collected from outside, but nearby, the experimental plots. Both green and naturally senesced material was analysed between 1998 and 2010 (although not every year was included within this period). Where green material was analysed, only the current years growth was included in the sample. The dataset also includes analysis of different parts of the plants at the site, for example, Calluna vulgaris stems, Calluna vulgaris leaves. Plant species include Calluna vulgaris, Vaccinium myrtillus, Empetrum nigrum, Deschampsia flexuosa, Pleurozium schreberi. Determinants include carbon, nitrogen, phosphorus, potassium, calcium, magnesium, lignin, tannin, alpha-cellulose and carbohydrates. Full details about this dataset can be found at https://doi.org/10.5285/0e8a3212-3b7a-40b4-890b-4f6565aca87a

Data collected during field experiments to investigate the effect of wildfires on greenhouse gas emissions across forests of differing ages in Sweden. Data comprise greenhouse gas measurements, soil horizon depth, bulk density, loss on ignition, pH, soil phosphorus, carbon and nitrogen, plant species cover, air temperature, soil temperature, soil moisture and surface leaf moisture. Greenhouse gas measurements were taken in the field. Soil cores were collected, then processed and analysed in the laboratory. Plant species cover was by visual estimate and final plant biomass was collected, dried, and weighed. Weather stations were used to collect temperature and moisture data. Data were collected from six Swedish boreal forest sites forming a chronosequence ranging in age from approximately 45 to 365 years since last wildfire. This part of the project used soil and plant property data, climatic data, and age since wildfire to investigate controls on forest floor greenhouse gas fluxes. The project ran from 2012 to 2015. Full details about this dataset can be found at https://doi.org/10.5285/f08a5de5-55d4-44de-90e1-94bb4f814054

Monthly time series of simulated de-trended/de-seasonalised biological indicators at 86 bio-monitoring sites in England and Wales based on the modelled response of these indicators to discharge (represented by a standardised streamflow index, SSI) at 76 paired gauging stations. The biological indicators include: (i) Average Score per Taxon (ASPT) (ii) Lotic-invertebrate Index for Flow Evaluation (LIFE) calculated at family-level (LIFE Family) (iii) LIFE calculated at species-level (LIFE Species). The simulation spans the period 1964-2012. Full details about this dataset can be found at https://doi.org/10.5285/2ad542be-e883-4c6e-b198-7d49da62208c

This dataset contains modelled outputs of the European river network modelled as 33,668 cells (5° longitude by 5° latitude). For each cell, modelled monthly flows were generated for an ensemble of tenscenarios for the 2050s and for the study baseline (naturalized flows for 1961 to 1990). Score classes are categorisation of flow alteration scenarios. Full details about this dataset can be found at https://doi.org/10.5285/d8ef71eb-3d22-4f98-af15-9d8e046ccb63

Concentrations of trace metals in soils from a grid of sites located around a disused (since 2003) smelting works in the Avonmouth, UK, area. The soil samples were collected on 4th and 5th October 2007 and were analysed for concentrations of Aluminium and Iron, using inductively-coupled plasma optical emission spectrometry (ICPOES), and Chromium, Copper, Zinc, Nickel, Arsenic, Cadmium, Mercury and Lead, using inductively-coupled plasma mass spectrometry (ICPMS). The dataset also includes information on soil pH and soil organic matter content (loss on ignition).

[THIS DATASET HAS BEEN WITHDRAWN]. This dataset includes measurements of photosynthesis for the dominant higher plant species in the experimental plots at the Climoor field site in Clocaenog Forest. Plant species included are Calluna vulgaris, Vaccinium myrtillus and Empetrum nigrum. Ambient light measurements are included as well as light response curve measurements. Data was collected infrequently between 2001-2003 for Calluna and Vaccinium, and just in 2001 for Empetrum. Full details about this dataset can be found at https://doi.org/10.5285/f5e7e03c-ecf3-4455-8567-e1ad8daa66ee

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

This dataset consists of measurements of leaf and root growth, species abundance and soil temperature made in ten subarctic plant communities located at the Arctic Biosphere Atmosphere Coupling at Multiple Scales (ABACUS) project sites near to Abisko, Sweden, and Kevo, Finland. The data were collected during the summer growing seasons (May to September) in 2008 and 2009, and comprise field survey measurements, temperature logs and values derived from analyses of mini-rhizotron images. Full details about this dataset can be found at https://doi.org/10.5285/887a5e91-93be-4f5d-8674-b2d22a1ae8ae

[THIS DATASET HAS BEEN WITHDRAWN]. Standardised Precipitation Index (SPI) data for Integrated Hydrological Units (IHU) Hydrometric Areas (Kral et al. [1]). SPI is a drought index based on the probability of precipitation for a given accumulation period as defined by McKee et al. [2]. SPI is calculated for different accumulation periods: 1, 3, 6, 12, 18, 24 months. Each of these is in turn calculated for each of the twelve calendar months. Note that values in monthly (and for longer accumulation periods also annual) time series of the data therefore are likely to be autocorrelated. The standard period which was used to fit the gamma distribution is 1961-2010. The dataset covers the period from 1862 to 2015. NOTE: the difference between this dataset with the previously published dataset 'Standardised Precipitation Index time series for IHU hydrometric areas (1961-2012)' [SPI_IHU_HA] (Tanguy et al., 2015 [3]), apart from the temporal extent, is the underlying rainfall data from which SPI was calculated. In the previously published dataset, CEH-GEAR (Keller et al., 2015 [4], Tanguy et al., 2014 [5]) was used, whereas in this new version, Met Office 5km rainfall grids were used (see supporting documentation for more details). Within Historic Droughts project (grant number: NE/L01016X/1), the Met Office has digitised historic rainfall and temperature data to produce high quality historic rainfall and temperature grids, which motivated the change in the underlying data to calculate SPI. The methodology to calculate SPI is the same in the two datasets. [1] Kral, F., Fry, M., Dixon, H. (2015). Integrated Hydrological Units of the United Kingdom: Hydrometric Areas without Coastline. NERC-Environmental Information Data Centre https://doi.org/10.5285/3a4e94fc-4c68-47eb-a217-adee2a6b02b3 [2] McKee, T. B., Doesken, N. J., Kleist, J. (1993). The Relationship of Drought Frequency and Duration to Time Scales. Eighth Conference on Applied Climatology, 17-22 January 1993, Anaheim, California. [3] Tanguy, M.; Kral., F.; Fry, M.; Svensson, C.; Hannaford, J. (2015). Standardised Precipitation Index time series for Integrated Hydrological Units Hydrometric Areas (1961-2012). NERC Environmental Information Data Centre. https://doi.org/10.5285/5e1792a0-ae95-4e77-bccd-2fb456112cc1 [4] Keller, V. D. J., Tanguy, M., Prosdocimi, I., Terry, J. A., Hitt, O., Cole, S. J., Fry, M., Morris, D. G., and Dixon, H.: CEH-GEAR: 1 km resolution daily and monthly areal rainfall estimates for the UK for hydrological use, Earth Syst. Sci. Data Discuss., 8, 83-112, https://doi.org/10.5194/essdd-8-83-2015, 2015. [5] Tanguy, M.; Dixon, H.; Prosdocimi, I.; Morris, D. G.; Keller, V. D. J. (2014). Gridded estimates of daily and monthly areal rainfall for the United Kingdom (1890-2012) [CEH-GEAR]. NERC Environmental Information Data Centre. https://doi.org/10.5285/5dc179dc-f692-49ba-9326-a6893a503f6e Full details about this dataset can be found at https://doi.org/10.5285/d8655cc9-b275-4e77-9e6c-1b16eee5c7d5