The dataset comprises of plant species recorded from plots located within the Moor House National Nature Reserve, with associated plot information such as slope and aspect, also peat depth. The sampling strategy was based on a grid, using 2 x 2 metre square plots. The majority of the plots were recorded in the summers of 2008 and 2009 by surveyors employed by the Centre for Ecology & Hydrology. Full details about this dataset can be found at https://doi.org/10.5285/7a7d08e3-48e2-4aad-855b-9d6767b9ae9b
Chemical composition of freshwater samples from sites in Northern England. Measurements of pH, dissolved major ions (Na, Mg, K, Ca, Cl, NO3, SO4), dissolved organic carbon (DOC), dissolved Al, Fe(II) and total Fe, and measurements of Al, Fe(II) and total Fe on samples following dialysis.
To reconstruct the maternal demographic history of the populations of the Andaman and Nicobar archipelagos using genetic profiles obtained from colonial era skeletal material and hair collections. The project had two main technical arms: to obtain authentic DNA data from well-handled museum collections of human material, which were a priori presumed to be heavily contaminated; to use the data to fill in lacuna in the genetic landscape left by large-scale demographic decline caused by disease and social disruption associated with the modern era. The major aim of the interpretative phase of the project was to obtain realistic estimates for the date of settlement of these island groups based on genetics because of the absence of reliable archaeological evidence. The main aim of this research was to determine whether the Andaman islanders were part of a very early radiation from Africa or arrived to their archipelago much later. The Nicobars were included in the research to have a comparative data set from the same region from people with a different phenotype. The data set is comprised of mitochondrial DNA control region sequences and coding region Single Nucleotide Polymorphisms.
This data set comprises of hourly physical and nutrient monitoring data of the River Enborne near Brimpton (National grid reference SU568648), from November 2009 to February 2012. Parameters measured are total reactive phosphorus, nitrate, conductivity, temperature, dissolved oxygen, pH and total chlorophyll. The accompanying hourly averaged flow data (from the EA flow gauging station at the same site) are also supplied. The monitoring programme was funded by the EPSRC, through the LIMPIDS project. Full details about this dataset can be found at https://doi.org/10.5285/11d712e0-7456-4ea9-8af8-fe81a666e91b
This dataset contains the concentration of eleven antibiotics (trimethoprim, oxytetracycline, ciprofloxacin, azithromycin, cefotaxime, doxycycline, sulfamethoxazole, erythromycin, clarithromycin, ofloxacin, norfloxacin), three decongestants (naphazoline, oxymetazoline, xylometazoline) and the antiviral drug oseltamivir's active metabolite, oseltamivir carboxylate, measured at 21 locations within the River Thames catchment in England. The measurements were taken weekly during November 2009, once in March 2010 and once in May 2011, with the aim to quantify pharmaceutical usage during the influenza pandemic of 2009 and how this compares to inter-pandemic drug use. River samples were acquired by grab samples in glass jars and analysed by liquid chromatography tandem mass spectrometry (LC MS). Two wastewater treatment plants (WWTPs) in southern England (Benson and Oxford) were also sampled during the peak of the second wave of the 2009 influenza A[H1N1]pdm09 pandemic (10-11 November 2009) and on 15 May 2011 using an automated sampler set to acquired hourly (time proportional) samples from the influent and effluent of the WWTPs. The WWTPs are the source for all the drugs found in the river, hence, these were studied to understand the differential fate of the analytes in the two very different WWTPs. Flows for the WWTP and River sampling locations are presented for each of the sampling times to allow for determining hourly loads for the WWTP and daily loads for the river. Full details about this dataset can be found at https://doi.org/10.5285/8af983e4-e97d-4c07-a34d-753243fa283b
This dataset consists of invertebrate (soil mesofauna) counts from soils sampled across Great Britain in 2007. 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/fccd86b0-f5b6-4716-b4f7-f43ad82daeee
The dataset contains information on the species identity and frequency of all insect-flower interactions recorded in 10 birch (Betula spp.) woodland fragments surveyed in 2009 (May-August). The data were collected in two transects (50 x 2m; 15m apart and at least 50m from the woodland edge) randomly situated prior to the onset of flowering in the centre of each wood. Five of the woodland sites were disturbed by cattle grazing, while five were undisturbed. Landowners confirmed that livestock had been absent for at least 70-100 years in undisturbed sites. Where livestock were present, cattle grazing was light to moderate (e.g. 2007: mean = 8.4 cattle ha-1) and long term (mean = 33 years). The dataset comprises 13 columns, 2002 rows and is 218 KB. It gives the site name, geographic coordinates, whether it was disturbed by cattle grazing or not, the wind speed and temperature at time of sampling, the date of sampling, and the identity of the insect and plants interacting (binomial name or recognisable taxonomic unit). Full details about this dataset can be found at https://doi.org/10.5285/4c058d1f-6166-4606-88a2-d2feaf036a2f
QUAAC was led by Prof John Pyle (University of Cambridge), with 11 co-investigators at the Universities of Sheffield, Leeds, York, Lancaster and Manchester, and from CEH. This dataset includes results of the development and testing of chemistry and aerosol schemes to include in a climate model, a range of schemes to describe (interactively wherever possible) surface emissions of reactive trace gases, and new surface deposition schemes.
The ACES (Aerosol Coupling in the Earth System) project was an integrated research programme that aims to reduce uncertainties in our fundamental understanding of the formation of BSOA (Biogenic Secondary Organic Aerosol) and the subsequent impact on atmospheric composition, through coordinated chamber studies, field studies, process model development, and application of atmospheric models of chemistry and transport to assess coupling and feedbacks in the Earth system. The dataset contains measurements of concentrations of aerosols between 50nm and 2nm, using a TSI Condesation Particle Counter model 3025A, near ground level below the rainforest canopy at the nursery site. These data were collected from the 9th to 23rd of July 2008 by the University of Manchester condensation particle counter based at the forest in-canopy site located at the FACE (Forests Absorbing CO2 Emissions) nursery at the Sabahmas Estate oil plantation in Malaysia.
Surface level accumulated forecast parameters on a reduced N256 Gaussian grid from the European Centre for Medium-Range Weather Forecasts (ECWMF) ERA-Interim programme. The ERA-Interim global atmospheric reanalysis of the covers 1979 to present. This follows on from the ERA-15 and ERA-40 re-analysis projects This subset of the ERA-Interim dataset contains 34 parameters covering boundary layer, precipitation, radiation, wind, evaporation, run-off, gravity wave and surface heat flux data. The 34 parameters are: Clear sky surface photosynthetically active radiation; Downward UV radiation at the surface; Photosynthetically active radiation at the surface; Evaporation; TOA incident solar radiation; Stratiform precipitation (Large-scale precipitation); Convective precipitation; Snowfall (convective + stratiform); Boundary layer dissipation; Surface sensible heat flux; Surface latent heat flux; Surface solar radiation downwards; Surface thermal radiation downwards; Surface solar radiation; Surface thermal radiation; Top solar radiation; Top thermal radiation; East-west surface stress; North-south surface stress; Sunshine duration; Latitudinal component of gravity wave stress; Meridional component of gravity wave stress; Gravity wave dissipation; Runoff; Total precipitation; Convective snowfall; Large-scale snowfall; Large-scale precipitation fraction; Top net solar radiation, clear sky; Top upward thermal radiation, clear sky; Surface net solar radiation, clear sky; Surface net thermal radiation, clear sky; Snow evaporation; and, Snowmelt.