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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 https://doi.org/10.5285/26e79792-5ffc-4116-9ac7-72193dd7f191

  • Data were collected in 2015 and 2016 to provide information about spatial variations in water depth and river bed morphology (including bedform height) on the South Saskatchewan River, Canada. Water depth measurements were obtained with a Navisound NS 215 system and a Reson TC 2024 200kHz high-resolution dual frequency single beam echo sounder (SBES) operating at a sampling frequency of 10hz. Data were geolocated via a Leica 1230 Real-Time Kinematic (RTK) dGPS system. Data were collected in 2015 (between 7th and 9th September) and 2016 (between 2nd and 14th September) as part of NERC project NE/L00738X/1. Full details about this dataset can be found at https://doi.org/10.5285/14c80b71-6eb6-4dba-a298-b95a37059f55

  • Data comprise soil temperature, air temperature, soil volumetric moisture content, relative humidity, and surface wetness data from Onset Microstation Data Loggers at 5 locations (within the main vegetation types) at SikSik creek catchment, Trail Valley Creek, NWT, Canada. The data were collected under Project HYDRA, a NERC funded UK research project linking Heriot Watt University, the Universities of Durham, Aberdeen and Stirling, and the Centre for Ecology & Hydrology (CEH), Edinburgh. Project HYDRA is part of the UK Arctic Research Programme. Project HYDRA studies sites in Arctic Canada to investigate the biological, chemical and physical controls on the release of greenhouse gases from permafrost into melt water and to the atmosphere and how these emissions will influence global warming. Full details about this dataset can be found at https://doi.org/10.5285/10839b38-cc29-4a07-999a-ac32e3f70609

  • Data were generated to investigate the influence of bed roughness on the dynamics of large sand-bed rivers like the South Saskatchewan, Canada. The influence of roughness was investigated by using a numerical model to simulate the evolution of the river bed for a hypothetical sand-bed river modelled on the South Saskatchewan. The model generated information on the evolving river bed topography, water depth, flow velocities and sediment transport rates, over a period of 28 years as part of NERC project NE/L00738X/1 Full details about this dataset can be found at https://doi.org/10.5285/790e507c-ce99-47ca-99b4-c97a684ee8c6

  • 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 https://doi.org/10.5285/e28ffc01-880d-423f-acb6-879b9fd4603a

  • Data were collected to determine the geographic distribution of different cytotypes of Campanula rotundifolia L. Most sampling concentrated on Britain and Ireland, but samples from mainland Europe, the Russian Federation and North America were also analysed. Following these observations, a common garden study of tetraploid, pentaploid and hexaploid cytotypes representative of Britain and Ireland was set up at a CEH Edinburgh (where the local cytotype is tetraploid), to determine whether climatic factors were limiting the distribution of the hexaploid cytotype through effects on growth, survival or flowering phenology. The geographic distribution study ran from 2006-2019. The common garden study ran from 2008-2010. Full details about this dataset can be found at https://doi.org/10.5285/673b2b31-562c-4604-8776-4a92988867b8

  • This dataset consists of Particle Size Distribution (PSD) measurements made on 419 archived topsoil samples and derived aggregate stability metrics from arable and grassland habitats across Great Britain in 2007. Laser granulometry was used to measure PSD of 1–2 mm aggregates before and after sonication and the difference in their Mean Weight Diameter (MWD) used to indicate aggregate stability. The samples were collected as part of the Countryside Survey monitoring programme, a unique study or ‘audit’ of the natural resources of the UK’s countryside. The analyses were conducted as part of study aiming to quantify how soil quality indicators change across a gradient of agricultural land management and to identify conditions that determine the ability of different soils to resist and recover from perturbations. Full details about this dataset can be found at https://doi.org/10.5285/be3793b6-90fb-4e4c-9515-220cc33223b9

  • The data describe the ecological responses (invertebrate diversity and biomass, plant diversity, soil characteristics and microbial diversity) to experimental manipulation of floristic diversity and vegetation height in planted urban meadows. The experiment consisted of a replicated set of nine different perennial meadow treatments, sown in six public urban greenspaces in the towns of Bedford and Luton, in the UK. Full details about this dataset can be found at https://doi.org/10.5285/d0741544-cdf3-497d-996b-e30b4b7373c1

  • Records for herbaceous and woody plants at 78 nested quadrats on a limestone mountain (Jebel Ichkeul) in Le Parc National de L’Ichkeul are presented. Data for plants represent percent cover (Braun-Blanquet scale), to identify environmental gradients and investigate phytosociology of plant communities. Environmental variables are also presented: altitude, slope, aspect, rock out cropping, index of grazing intensity (78 sites) and olive tree densities by size class (69 sites). Soil pH was collected for 50 sites. Plant surveys were done June to August 1983 by Dr. D.A. Kirk as part of his Master’s thesis degree in Conservation at University College London (1983). This work was funded by the Natural Environment Research Council. Full details about this dataset can be found at https://doi.org/10.5285/4e36cdfa-0281-423f-99a8-e7c331b2e0d1

  • This dataset includes radiocarbon (14C) content and d13C for river water samples collected across the UK. Samples were concentrated to four major catchments - the Ribble, Conwy, Hampshire Avon and Scottish Dee. Samples were collected at high flow. The dataset also includes suspended particulate matter concentration and % organic carbon content. Full details about this dataset can be found at https://doi.org/10.5285/4962468f-54c4-49ff-adb8-03e9e88cffdd