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environment

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  • 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

  • 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

  • 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 https://doi.org/10.5285/dae416b4-3762-45bd-ae14-c554883d482c

  • 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 consists of raw data on measured carbon dioxide (CO2) and nitrous oxide concentration (N2O) concentrations from intact soil topsoil (0-15 cm) and subsoil cores (85-100 cm) to added carbon, nitrogen and phosphorus. Four land uses (Bog, acid grassland, improved grassland and arable field) in North Wales were selected for this study with three replicates each. Intact soil cores were taken in January and February in 2014. The data consists of three datasets. The first dataset contains the measured CO2 concentration that was measured from intact topsoil cores (0-15 cm) as a result of carbon, nitrogen and phosphorus additions form a pilot study. For the pilot study intact topsoil cores were taken in November and December in 2013 from three sites. a Podzol, a coniferous forest soil and a grassland soil. These sites were not in the Conwy Catchment. The pilot study results were used to inform the experimental setup for the main experiment. The data from the main experiment, measured carbon dioxide (CO2) and nitrous oxide concentration (N2O), are reported in the second dataset for intact topsoil and subsoil cores. The third dataset contains nitrogen mineralization data from the intact soil cores that were used as control cores and did not receive any carbon or nutrient additions. The dataset contains measurements on soil nitrate, ammonium and total nitrogen mineralization rates in milligrammes of nitrogen per gramme of dry weight or per gramme of organic matter content. In both the experimental datasets, the weight of the soil cores at field capacity (in grammes) was reported and weight loss was adjusted by adding an artificial rain water solution. The incubation time (in minutes), the measured CO2 and N2O concentrations (in part per million = ppm) were recorded at the beginning and the end of the incubation. Total soil dry weight per soil core (in grammes) and the total weight of soil organic matter (loss on ignition, in grammes) are reported. The data were collected to calculate production of Measurements were undertaken by staff from the Centre for Ecology & Hydrology. The data were collected to link plant and soil nutrients to aboveground and belowground ecosystem processes to incorporate relevant parameters into the Joint UK Land Environment Simulator (JULES) model. This data was collected for the NERC project 'The Multi-Scale Response of Water quality, Biodiversity and Carbon Sequestration to Coupled Macronutrient Cycling from Source to Sea' (NE/J011991/1). The project is also referred to as Turf2Surf. Full details about this dataset can be found at https://doi.org/10.5285/0c17a041-8852-4800-9c04-2ab2dd858837

  • The data comprise measurements of the ‘soluble’, ‘adsorbed’ and ‘organically bound’ 99Tc concentrations in a diverse set of soils following experimental addition of 99TcO4- and incubation in the laboratory under controlled temperature conditions for 897 days. The long term behaviour of 99Tc in aerobic soils was studied by conducting a laboratory-based experiment in which a set of 20 topsoils from central England with contrasting properties (e.g. pH, organic matter content, land use) were contaminated with 99TcO4- and incubated in the dark, in a moist but aerobic condition, at a temperature of 10oC for 2.5 yr. The physico-chemical transformations of 99Tc in each soil microcosm were periodically monitored by means of a three-step sequential extraction procedure conducted on subsamples of incubated soil. The resulting dataset enabled quantification of the kinetics of 99Tc transformation in aerobic soils as a function of soil properties and land uses (arable, grassland and moorland/woodland). The data will be useful in developing models of long-term 99Tc bioavailability in aerobic soils under temperate conditions. Full details about this dataset can be found at https://doi.org/10.5285/4622f906-e28a-4210-aa03-d2e4169b1be8

  • Rainwater alkalinity, chloride-ion, conductivity, pH and nutrients data from the Frome Piddle; Pang Lambourn and Tern catchments, recorded between 2004 and 2006. Rainwater samples were collected fortnightly at seven sites in these catchments and analysed for Alkalinity pH 4.5, Ammonia, Chloride-ion, Conductivity 20 °C, Nitrate, pH, Phosphorus soluble reactive (SRP), Silicate reactive dissolved (SRD) and Sulphate. The samples were collected as part of the NERC funded Lowland Catchment Research (LOCAR) Programme to provide comparable baseline rainwater chemistry data across the LOCAR catchments. Full details about this dataset can be found at https://doi.org/10.5285/274b541c-ee28-4041-8d3a-be5e970cd74e

  • Data comprise sunflower seed predation rates (i.e. number of seeds remaining) after 24 hours under different treatments in 18 experimental plots plots established in 2013 as part of the Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA) programme. 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 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. 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 https://doi.org/10.5285/1256d475-f321-4a9b-b4ed-927e5b825d3f

  • [THIS DATASET HAS BEEN WITHDRAWN]. This dataset contains hourly micro-meteorological data from the experimental plots at the Climoor field site in Clocaenog forest, NE Wales. It runs from 11/9/2008 until 31/12/2013, and contains air temperature, soil temperature at two depths (5cm and 20cm) as well as soil moisture. Climoor is a climate change experiment which investigates the possible impact of increased temperatures and repeated summer drought on an Atlantic upland moorland. The experiment uses automatic roof technology to warm experimental plots by 0.5 - 1 degC and reproduces drought conditions in other experimental plots (July to September annually). In 2014, the Climoor experiment was the second longest running climate change experiment in the UK and data from the experiment has been used in several modelling exercises. The site was originally established under a EU consortium project - called CLIMOOR - where replica manipulation experiments were built in six European countries. As well as our site in North-East Wales (United Kingdom), there are identical sites in Denmark, the Netherlands, Sardinia (Italy) and Hungary. There was also a site in Catalonia (Spain). Full details about this dataset can be found at https://doi.org/10.5285/124ae988-41d3-4555-b704-5acc85633a05

  • [THIS DATASET HAS BEEN WITHDRAWN]. The topographic index is a hydrological quantity describing the propensity of the soil at landscape points to become saturated with water as a result of topographic position (i.e. not accounting for other factors such as climate that also affect soil moisture but are accounted for separately). Modern land surface models require a characterisation of the land surface hydrological regime and this parameter allows the use of the TOPMODEL hydrological model to achieve this .This Geographic Information System layer is intended for use as topographic ancillary files for the TOPMODEL routing model option within the Joint UK Land Environment Simulator (JULES) land surface model. The topographic index variable here is directly comparable to the compound topographic index available from United States Geological Survey's Hydro1K at 30 sec resolution. Full details about this dataset can be found at https://doi.org/10.5285/ce391488-1b3c-4f82-9289-4beb8b8aa7da