Environmental Monitoring Facilities

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  • Data comprise the number of macro-invertebrate taxa (including family and group name) recorded at four sites on the River Beas in November 2017. Data were generated from kick-sampling following the UK Environment Agency's standard semi-quantitative protocol. Also included are site location information (latitude and longitude). The data were collected by Heriot-Watt University under the Sustaining Himalayan Water Resources in a Changing Climate (SusHi-Wat) project funded by NERC. Full details about this dataset can be found at

  • Data comprise monitoring records of a population of Gryllus campestris, a flightless, univoltine field cricket that lives in and around burrows excavated among the grass in a meadow in Asturias (North Spain). The area has an altitude range from around 60 to 270 metres above sea level. The data present information on various mating-related activities of male crickets, including age, singing activity, dominance in fights, and lifespan. Data were collected from 2006 to 2016. Full details about this dataset can be found at

  • Dataset contains the partial sequence RNA gene from the Lycopodiella inundata, neighboring angiosperms (the grasses Holcus lanatus, Molinia caerulea, and the rush Juncus bulbosus), and a liverwort (Fossombronia foveolata). The samples were collected from Thursley National Nature Reserve, Surrey, United Kingdom, in June 2017. This data is NERC-funded but not held by the EIDC. Representative DNA sequences were deposited in the GenBank/EMBL data libraries under accession numbers MK673773–MK673803.,MK673774,MK673775,MK673776,MK673777,MK673778,MK673779,MK673780,MK673781,MK673782,MK673783,MK673784,MK673785,MK673786,MK673787,MK673788,MK673789,MK673790,MK673791,MK673792,MK673793,MK673794,MK673795,MK673796,MK673797,MK673798,MK673799,MK673800,MK673801,MK673802,MK673803

  • [THIS DATASET HAS BEEN WITHDRAWN]. This dataset includes measurements of annual growth of the higher plant species in the experimental plots at the Climoor field site in the Clocaenog Forest, NE Wales. Years include 1999, 2000, 2001, 2003, 2004, 2006, 2007, 2008 and 2009, and in each the measurements were taken in August (at a time of maximum veteative growth at the site). Data include maximum shoot elongation, leading shoot length, and number of flowers, leaves and branches. Full details about this dataset can be found at

  • Data comprise weight (grams) of dried oil palm (Elaeis guineensis) frond litter remaining in a variety of litter bags after 10, 30, 60 and 90 days buried under the litter layer in oil palm plantations located in Riau Province, Sumatra, Indonesia. The bags all initially contained four grams of dried oil palm frond cut into 2 cm sections and the bags were oven-dried at 70oC to a constant weight. The plantations consisted of mature oil palm (data from 2014), and mature and replanted oil palm (data from 2016-2017) plots which are 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 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. There were three types of litter bags: fine mesh, 2mm mesh, and fine mesh with four 1 cm holes. Decomposition was measured six times from 2013 to 2017, including a reduced protocol in May 2016 at the peak of an El Niño Southern Oscillation (ENSO) related drought. The project 'Managing tropical agricultural ecosystems for resistance and recovery of ecosystem processes' was funded by the Natural Environment Research Council under NE/P00458X/1. Full details about this dataset can be found at

  • The dataset contains partial sequence of Mucoromycotina species (liverwort) isolates containing Eukaryota, fungi, Incertae sedis and Mucoromycota analyising for ribosomal RNA genes. This data is NERC-funded but not held by the EIDC. This data is archived in NCBI Nucleotide Accession Numbers: MH174461-MH174649 (Mucoromycotina species Isolate) PopSet:

  • This dataset reports the responses of annual river flow to forestation in 43 catchments and contains 770 data points. Data shows the change in river flow following forestation at annual time scales, along control river flow measurements and associated metadata from primary and secondary sources. Data collection, processing and interpretation were performed by Laura Bentley and David A. Coomes between January 2018 and October 2019. Forestation was defined as a change in land cover from a stable, non-forested state to a forested one, independent of the long-term history of forest cover. Paired measurements of annual river flow following forestation (mm) and river flow under control land cover conditions (mm) are provided for each year that the catchment dataset satisfied our inclusion criteria. River flow response is provided as both an absolute difference (mm) and as a percentage of control flow in the same year. Estimates of catchment annual precipitation, annual potential evapotranspiration, forest age, forest area, and the year of study are provided for each river flow response data point. Metadata are provided concerning catchment land cover history, land use history, catchment area, forest type, average climate and the method of forest establishment. The dataset contains catchments that were planted with trees and catchments in which forest cover regenerated without planting. Historical forest cover was reported in some catchments, and not reported in others. The 43 catchments a distributed unevenly across the globe, in 13 countries. The length of time series for each catchment varies from 2 years to 57 years, with and average duration of 19 years. Full details about this dataset can be found at

  • This dataset reports metrics of plant growth, including height, total biomass and the biomass of component plant parts, and percentage root colonisation by mycorrhizas, for tree seedlings of eight tropical and seven subtropical growing in pots of soil that had been amended by addition of various sources of phosphorus (inorganic phosphate, adenosine monophosphate, phytic, or a mixture of all three) plus an unfertilized control treatment with no P additions. The aim of the experiment was to test the hypothesis that seedlings of species that associate with different types of root-inhabiting mycorrhizal fungi would respond differently to the range of P sources applied in the experiment. The experiments were conducted as part of a NERC Discovery Science project with the title Explaining niche separation in tropical forests: feedbacks from root-fungal symbioses and soil phosphorus partitioning led by Professor David Burslem (University of Aberdeen) reference NE/M004848/1. Full details about this dataset can be found at

  • 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 – 2015. Soil solution data (n=139) from North American and European natural and semi-natural ecosystems are also included, which cover the period 1988 – 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

  • 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