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  • This dataset consists of plant species presence and abundance in different sizes and types of plots from 508 1km x 1km square sites surveyed across Great Britain in 1990. Many of the plots are repeated from surveys in 1978 and were surveyed again in 1998 and 2007. General information about the plot was recorded including plot number and type as well as species presence and (usually) cover. Data were collected under the Countryside Survey long term monitoring project managed by the Centre for Ecology & Hydrology. Full details about this dataset can be found at

  • Micro-organic herbicide levels in river water for various sites within the Humber and Tweed catchments collected as part of the Land Ocean Interaction Study project (LOIS). The dataset contains data for Phenyl urea and Phenoxy acid herbicides, measured as 2,4-Dichlorophenoxyacetic acid, 4-(4-Chloro-O-tolyloxy) butyric acid, 4-Chloro-O-tolyloxyacetic acid, Chlorotoluron dissolved, Diuron dissolved, Isoproturon dissolved, Linuron dissolved, Mecoprop dissolved. Phenyl urea herbicide data is available for twelve sites in the Humber catchment within 1994 to 1995 and 1994 to 1997 and for three sites on the Tweed catchment within 1995. Phenoxy acid herbicide data is available for six sites (S1, U3, N4, W5 and O6) over the period December 1994 to September 1995, for 7 sites (S2, D7, A8, C9, D10, T11 and O12) over the period December 1994 to February 1997 and 3 sites (TW13, TW14 and TW15) over the period January 1995 to September 1995. Attempts were made to sample the sites at weekly intervals. However sampling was halted for short periods when it was not possible to process the samples quickly. Linuron dissolved was only measured from April 1994 - October 1994. Samples were collected in chromic acid-washed 1 litre glass bottles. Herbicide levels were concentrated before being measured using High Performance Liquid Chromatography for Phenyl urea herbicides and Gas Chromatography for Phenoxy acid herbicides. Until November 1994, analysis was completed by the York University and the Institute for Freshwater Ecology, Wareham, laboratories. From December 1994 onwards the samples were dispatched to the Institute for Hydrology, Wallingford, for extraction and analyses. Full details about this dataset can be found at

  • Elevation contour lines within the Severn catchment at 10 metre intervals. Digitised from the scanned topographic maps.

  • This dataset identified bacteria able to grow in the presence of several Antibiotics in a British agricultural soil, by DNA stable isotope probing (SIP). The dataset was created with samples of the 'heavy' and 'light' fractions of the treatments and also from control soils. The 16S rRNA genes from these samples were amplified and sequenced by barcoded Illumina sequencing. Polymerase chain reaction (PCR) primers 515FB (GTGYCAGCMGCCGCGGTAA) and 806RB (GGACTACNVGGGTWTCTAAT) from the Earth Microbiome project targeting the V4 region of the 16S rRNA gene (approximately 250 nucleotides) were used. Library preparation and sequencing was performed at the National Oceanographic Centre (NOC) of the University of Southampton, UK, following methodologies described by Caporaso et al. (2012). Samples were pooled in an equimolar concentration and sequenced on separate runs for MiSeq using a 2 bp x 300 bp paired end protocol.

  • The leaf phenology product presented here shows the amplitude of annual cycles observed in MODIS (Moderate Resolution Imaging Spectroradiometer) normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI) 16-day time-series of 2000 to 2013 for Meso- and South America. The values given represent a conservative measure of the amplitude after the annual cycle was identified and tested for significance by means of the Lomb-Scargle Transform. The amplitude was derived for four sets of vegtation indices (VI) time-series based on the MODIS VI products (500m MOD13A1; 1000m MOD13A2). The amplitude value can be interpreted as the degree in which the life cycles of individual leaves of plants observed within a pixel are synchronised. In other words, given the local variation in environment and climate and the diversity of species leaf life cycle strategies, an image pixel will represent vegetation communities behaving between two extremes: * well synchronized, where the leaf bud burst and senescence of the individual plants within the pixel occurs near simultaneously, yielding a high amplitude value. Often this matches with an area of low species diversity (e.g. arable land) or with areas where the growth of all plants is controlled by the same driver (e.g. precipitation). * poorly synchronized, where the leaf bud burst and senescence of individual plants within a pixel occurs at different times of the year, yielding a low amplitude value. Often this matches with an area of high species diversity and/or where several drivers could be controlling growth. Full details about this dataset can be found at

  • This dataset contains calculated terrestrial fluxes of methane using static chambers from Stordalen mire, a subarctic peatland (68°20’ N, 19°03’ E) located near Abisko, Northern Sweden . Measurements were carried out during growing season 2013 in three measurement campaigns: 16-27 June (number of sampling occasions, n, = 4), 11-22 August (n=5) and 16-29 September (n=5 for wetland and 4 for birch forest). A total of 60 static chambers were measured, 14 within the birch forest and 46 within the wetland. In addition to fluxes auxiliary measurements such as air and soil temperature, soil moisture and soil nutrients were taken and the vegetation composition was recorded. The data was collected as part of the MAMM project (Methane and other greenhouse gases in the Arctic: Measurements, process studies and Modelling, funded by the UK Natural Environment Research Council (grant NE/I029293/1). Full details about this dataset can be found at

  • This dataset consists of macrophyte species records, sampled from headwater streams during a survey in 1998. Stream macrophytes in Countryside Survey are surveyed using the standard MTR (Mean Trophic Rank) protocol, which records the presence and extent (on a categorical scale) of macrophytes in a 100m reach. Data were collected under the Countryside Survey long term monitoring project managed by the Centre for Ecology & Hydrology. The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Headwater stream surveys have been carried out in 1990, 1998 and 2007 with repeated visits to the majority of sites. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to headwater stream data, soil data, habitat areas, vegetation species data and linear habitat data are also gathered by Countryside Survey. Full details about this dataset can be found at

  • The dataset contains estimates of the projected area of vegetation derived from the analysis of side-on photographs through the vegetation canopy and recorded for survey quadrats at six UK saltmarsh sites. Three of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East England, each of these sites consisted of a saltmarsh area and adjacent mudflat area. Each site comprised 22 quadrats in the vegetated area of salt marsh. A calibrated camera was used to photograph through a 600 x 200mm section of vegetation against a red background. Calibrated images were then classified into vegetation and background classes and parameters of vegetation density in the horizontal were computed. This data was collected as part of Coastal Biodiversity and Ecosystem Service Sustainability (CBESS): NE/J015644/1. The project was funded with support from the Biodiversity and Ecosystem Service Sustainability (BESS) programme - is a six-year programme (2011-2017) funded by the UK Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) as part of the UK's Living with Environmental Change (LWEC) programme. Full details about this dataset can be found at

  • Chemical analysis of stream, river and rainfall samples for lowland rivers in the UK. The data are uncensored and provide a basis for research purposes, and must be viewed in this light. Information on analytical methodologies is available, including detection limits, from which the user can choose how the data might be interpreted. The basins studied were the Tweed, Wear, Humber, Great Ouse and Thames. One tributary (the Teviot) and two main-stem sites were monitored in the Tweed Catchment. One site around two-thirds down the catchment of the River Wear was monitored. Humber Basin Monitoring was undertaken for all the tributaries especially near their downstream limits. The Great Ouse was monitored around half way down the catchment. The Thames catchment was monitored upstream and downstream of sewage inputs to the river, prior and post effluent stripping of phosphorus. This work formed part of a major UK initiative introduced in the early 1990s, the Land Ocean Interaction Study, LOIS, to examine water, chemical and sediment fluxes from the eastern UK rivers to the North Sea. The entire LOIS core monitoring data, including a wider range of determinands, is available from EIDC. As part of this and subsequent work, the initiative was extended to examine a range of catchment basins, from rural to agricultural and industrial/urban impacted ones.

  • The WATCH Forcing data is a twentieth century meteorological forcing dataset for land surface and hydrological models. It consists of three/six-hourly states of the weather for global half-degree land grid points. It was generated as part of the EU FP 6 project "WATCH" (WATer and global CHange") which ran from 2007-2011. The data was generated in 2 tranches with slightly different methodology: 1901-1957 and 1958-2001, but generally the dataset can be considered as continuous. More details regarding the generation process can be found in the associated WATCH technical report and paper in J. Hydrometeorology. To understand how the data grid is formed it is necessary to read the attached WFD-land-long-lat-z files either in NetCDF or DAT formats. The data covers land points only and excludes the Antarctica. Wind or near surface wind speed at 10m is the near surface wind speed at 10m in m/s-1 at 6 hourly resolution and 0.5 x 0.5 degrees spatial resolution.