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environment

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  • This dataset provides deposition values of sulphur and nitrogen deposition and concentration values for ammonia (NH3), sulphur dioxide (SO2) and nitrogen oxide (NOx) on the UK nature conservation protected sites, averaged over the years 2013 to 2015. The dataset also includes calculated minimum, maximum and gridded average values for each site. Protected nature sites covered are: (i) Special Areas of Conservation (SAC) (ii) Special Protection Areas (SPA) (iii) Sites of Special Scientific Interest (SSSI). The data consist of values of nitrogen and acid deposition, and concentrations of ammonia (NH3) based on the Concentration Based Estimated Deposition (CBED), and concentrations of NOX and SO2 using the Pollution Climate Mapping (PCM) model. Nitrogen and acid deposition data is also given for specific habitat types including: (i) moorland/short vegetation everywhere, (ii) forest everywhere, and (iii) the grid square average over multiple land cover types (i.e. arable, grassland, forest, moorland, urban) These habitat-specific data are recommended for use with critical loads for the calculation of critical load exceedances using the relevant deposition/habitat type. Full details about this dataset can be found at https://doi.org/10.5285/487b9d48-ec67-4b4e-a758-093a52d2d73b

  • This project aims to provide an estimate of the extent to which microplastic concentrations are underestimated with traditional sampling. Sampling events focus on coastal waters, where microplastics are predicted to have the greatest influence on marine life, on both sides of the North Atlantic Ocean. Samples were collected in the Gulf of Maine (USA) in July 2013 and the western English Channel off the coast of Plymouth (UK) between July and September 2015. Microplastic debris was collected via surface trawls using 100, 333 and 500 micrometer nets. Data collection was funded by the Natural Environment Research Council (NERC Grant NE/L003988/1 and NE/L007010/1); University of Exeter and Plymouth Marine Laboratory collaboration fund; in-kind contributions from the ‘Rozalia Project’; March Limited of Bermuda philanthropic support.

  • This application is an implementation of the Ecological Risk due to Flow Alteration (ERFA) method in R language. This method assesses the potential impact of flow change on river ecosystems. Although the code was developed with a geographical focus on southeast Asia (example datasets are provided for the Mekong River Basin), it can be applied for any location where baseline and scenario monthly river flow time series are available. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. Full details about this application can be found at https://doi.org/10.5285/98ec8073-7ebd-44e5-aca4-ebcdefa9d044

  • This dataset presents estimates of total carbon stored in vegetation across Great Britain (GB). Presented as carbon density (tonnes per hectare) the data was obtained by estimating carbon density values for each land cover type and then projecting across GB using the 2007 Land Cover Map. Countryside Survey data from 2007 was also used to derive the carbon density estimates for each land cover type and as such the dataset is a representation for 2007. Changes in size and productivity of the aboveground carbon pool may act as a sink or source for carbon dioxide. As such, the carbon stored in vegetation and its spatial distribution plays a vital role in climate regulation. Full details about this dataset can be found at https://doi.org/10.5285/9be652e7-d5ce-44c1-a5fc-8349f76f5f5c

  • This dataset consists of soil physico-chemical properties (pH and loss on ignition) from soils sampled across Great Britain in 1978. 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. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 by the Centre for Ecology & Hydrology, with repeated visits to the majority of squares. 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 soil data, habitat areas, vegetation species data, linear habitat data, and freshwater habitat data are also gathered by Countryside Survey. Full details about this dataset can be found at https://doi.org/10.5285/85c71959-0f7c-4f04-b3a7-152673107a85

  • This dataset consists of stock (length) data for landscape linear features across Great Britain in 1984. Data are presented as lengths of different feature categories (such as fences, walls and lines of trees), with associated species attributes, from 382 km squares, surveyed for the Countryside Survey long term monitoring project (note: not all surveyed squares contained linear features). The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside, carried out by the Centre for Ecology & Hydrology. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 with repeated visits to the majority of squares. 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 linear features, habitat areas, vegetation species plot, soil plot, freshwater habitat and satellite map data are also produced by Countryside Survey. Full details about this dataset can be found at https://doi.org/10.5285/a3f5665c-94b2-4c46-909e-a98be97857e5

  • [This nonGeographicDataset is embargoed until July 31, 2023]. The dataset consists of results of the electrochemical circle fit of the Nyquist plot generated by NOVA software to measure the Charge Transfer Resistance (RCT). Data demonstrates the curve of real and imaginary resistance against charges transmitted in the media of the carbon electrode biosensor. The change in RCT can detect the presence of the targeted antimicrobial resistance (AMR) DNA. The experiments were conducted by immersing the sensor's electrode in different concentrations of the target AMR DNA to determine the limit of detection. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/6bc69e2a-c771-4538-832e-2f6824b63474

  • [THIS DATASET HAS BEEN WITHDRAWN]. This dataset includes manual measurements 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 are available from May 2009 to January 2014. Full details about this dataset can be found at https://doi.org/10.5285/5ba28b53-6b20-4e31-9c0f-ba234ddc55ef

  • The resource consists of cartesian coordinates, expressed in units of pixels for groups of eight individual fish, swimming in a shoal. The fish were filmed from above with a high resolution video camera. The data were generated from the images and video using automated two-dimensional tracking software. A food stimulus delivering a single food reward was presented six times per trial. The data were collected between July and August 2017 in a controlled fish laboratory at the University of Bristol by the data authors. The data were collected to test the effects of group behaviour in fish shoals on foraging performance. There are instances where one or more fish in a frame could not be tracked. Where such instances occur are indicated in the data files. The research was funded through NERC grant NE/P012639/1 Hunger and knowledge: foraging decisions in an uncertain and social world All procedures regarding the use of animals in research followed United Kingdom guidelines and were approved by the University of Bristol Ethical Review Group (UIN UB/17/060). Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/08305a43-79b5-432f-ad20-2ddffe0d1077

  • The data consist of tree ring oxygen (δ18Otr) and carbon (δ13Ctr) isotope data of Macrolobium acaciifolium and Cedrela odorata from five sites in the Amazon basin, including Pacaya (Peru) and Maranon (Peru), Leticia (Colombia), Manuripi (Bolivia) and Riberalta (Bolivia). All sample preparation (i.e., cutting ring sections, cellulose extraction, weighing and packing) was done at the University of Leeds, and all isotope ratio measurements were done at Stable Isotope Laboratory at the University of Leicester. Full details about this dataset can be found at https://doi.org/10.5285/a5a862da-8db2-4881-9046-610c8573b499