Type of resources
Contact for the resource
This dataset contains the codes for water laboratory analysis, sampling dates and locations for soil samples collected from the Tamar catchment in winter 2013/2014 as part of the South West project. It contains soil chemistry data for metals and mineral contents of samples soils. It should be used in conjunction with datasets describing soil bacteria and soil eukaryote operational taxonomic unit sequence data. Full details about this dataset can be found at https://doi.org/10.5285/de35d4ea-e75e-464c-b82f-2c2c1402cf8e
This dataset contains operational taxonomic units for soil bacteria collected from various land use categories in the Wolf and Tamar catchments in South west England. A range of soils were targeted from the Tamar region comprising a range of land uses. Approximate location of sampling sites was determined from maps to provide good spatial coverage of the catchment. Exact sites were determined in the field, considering accessibility and other logistic, and soils taken. Full details about this dataset can be found at https://doi.org/10.5285/296ded8e-2c80-4a01-98cc-e71e3fa3fa1b
This data was collected during two Antarctic field seasons (2013-14, 2014-15) using two Leica GS10 dual-frequency Global Position Systems (dGPS). We installed 53 2m aluminium stakes in the snow surface along lines perpendicular to ice divides on four ice rises in the Ronne Ice Shelf region. In each season we used the dGPS units to measure the position of each pole. During most position measurements we deployed a rover unit for 20 minutes at each stake while a static base station dGPS unit was left in place for 5 or more hours. In the minority of cases the power to the base station unit failed and data from the rover unit is not accompanied by base-station data.
A vector polyline at 60 deg S which is the northern limit for ADD datasets.
Auroral oval boundary locations derived from IMAGE (Imager for Magnetopause-to-Aurora Global Exploration) satellite FUV (Far Ultra Violet imager) data covering the period from May 2000 until October 2002. Three sets of boundary data were derived separately from the WIC (Wideband Imaging Camera) and SI12/SI13 (Spectrographic Imager 121.8/135.6 nm) detectors. For each image, the position of each pixel in AACGM (Altitude Adjusted Corrected Geomagnetic) coordinates was established. Each image was then divided into 24 segments covering 1 hour of magnetic local time (MLT). For each MLT segment, an intensity profile was constructed by finding the average intensity across bins of 1 degree magnetic latitude in the range of 50 to 90 degrees (AACGM). Two functions were fit to each intensity profile: a function with one Gaussian component and a quadratic background, and a function with two Gaussian components and a quadratic background. The function with a single Gaussian component should provide a reasonable model when the auroral emission forms in a continuous oval. When the oval shows bifurcation, the function with two Gaussian components may provide a better model of the auroral emission. Of the two functions fit to each intensity profile, we determine the one with the lower reduced chi-square goodness-of-fit statistic to be the better model for that profile. For the version 1.1 boundary location data, the fitting process was performed over 200 iterations to achieve each fit. The auroral boundaries were then determined to be the position of the peak of the poleward Gaussian curve, plus its FWHM (full-width half-maximum) value of the Gaussian, to the peak of the equatorward Gaussian, minus its FWHM. In the case of the single Gaussian fit, the same curve is used for both boundaries. A number of criteria were applied to discard poorly located auroral boundaries arising from either poor fitting or incomplete data. A further correction can be applied to the data, to estimate the location of the Earth''s magnetic field''s OCB (open-close boundary). These corrections have been tabulated in a separate file; if this correction is required the adjustments should be made to the poleward boundary value.
This dataset contains operational taxonomic units for epilithon (water samples): Approximate location of sampling sites was determined from maps to provide good spatial coverage of the Wold River through to the Tamar River. Exact sites were determined in the field, considering accessibility and other logistics. The exact location of each sample site was determined using a Garmin GPS12. Three stones were taken from each of the 20 locations and epilithon removed from a defined area. Samples were kept in the cold and removed to the laboratory for analyses. DNA was extracted from all soil and epilithon samples using the MOBIO Powersoil 96 well DNA extraction kit. DNA was quality checked for purity and yield prior to submission for 454 pyrosequencing to assess both bacterial and eukaryotic biodiversity within each sample. Following bioinformatic sequence processing, sequencing were clustered into operational taxonomic units (OTU) and the data tables display the percentage of each OTU within each sample. Full details about this dataset can be found at https://doi.org/10.5285/16649ff0-af24-41b0-bcb4-15e610dac170
This dataset contains operational taxonomic units for soil eukaryotes from the Wolf and Tamar catchments . A range of soils were targeted from the Tamar region comprising a range of land uses. Approximate location of sampling sites was determined from maps to provide good spatial coverage of the catchment. Exact sites were determined in the field, considering accessibility and other logistic, and soils taken. The exact location of each sample site was determined using a Garmin GPS12. Soil samples were kept in the cold and removed to the laboratory for analyses. Full details about this dataset can be found at https://doi.org/10.5285/4bf6228f-ce3d-449e-9438-c4b5c8291256
The data set comprises a series of ten reports containing tables of current data and diagrams of trajectories derived from neutrally buoyant floats deployed in seas across the globe. The floats were numbered between 1-180 and 209-227, with floats 1-180 being deployed between 1955 and 1964 and floats 209-227 being deployed between February and March 1969. Detailed deployment information is listed below, with deployment location, float numbers, deployment dates and ship name (if known). NE Atlantic: floats 1-5 (Jun 1955, Oct-Nov 1955); float 11 (Aug 1956); floats 12-20 (Mar 1957); floats 25-33 (May-Jul 1958); floats 34-39 (Nov 1958). Norwegian Sea: floats 6-10 (Apr-May 1956). NW Pacific: floats 21-24 (Jul-Aug 1957). Deep water off Bermuda: floats 40-53, 55, 58 (Jun-Oct 1959, RV Aries); floats 54, 56, 57 (Oct 1959, RV Crawford); floats 59-60,64-65,68, 69,71,73-74 (Jun-Dec 1959, RV Aries); floats 61-63,66, 67,70,72 (Nov 1959, RV Crawford); floats 75-77 (Dec 1959, RV Atlantis); floats 78-98 (Feb-Jun 1960, RV Aries); floats 99-119 (Jun-Aug 1960, RV Aries). Faroe-Shetland Channel: floats 120-127 (Jul 1961, RRS Discovery). Faroe Bank Channel: float 135 (1963, Ernest Holt). Labrador Sea: floats 128-132 (1962, Erika Dan). Arabian Sea: floats 133, 134, 136-139 (Jul-Aug 1963, RRS Discovery). Indian Ocean: floats 140-160 (Mar-Apr 1964, RRS Discovery); floats 161-180 (Apr-Aug 1964, RRS Discovery). NW Mediterranean: floats 209-227 (Feb-Mar 1969, RRS Discovery). The reports were produced by the National Institute of Oceanography (NIO), which later became the Institute of Oceanographic Sciences Deacon Laboratory.
This dataset consists of (1) Bulk properties of sea surface waves, including significant wave height, period and direction. Some additional wave properties relevant to their impact at the sea bed are also included: friction velocity, bottom orbital velocity, direction and period at the sea bed. (2) Depth-averaged eastward and northward current components and sea surface height above sea level. Additionally, eastward and northward current induced stresses at the sea bed. The modelled two datasets are prepared on the same regular grid. With a resolution of around 1/9th x 1/6th degree, i.e. ~ 12km. The continental shelf model extends from 48 to 63 degrees longitude north and from 12 degrees longitude west to 13 degrees longitude east. The dataset was generated by the Proudman Oceanographic Laboratory Coastal Ocean Modelling System (POLCOMS) and the spectral wave model (WAM). The data are available in single monthly files, for a 10 year period from January 1999 to December 2008, the POLCOMS data are 30 minute averages, and the WAM data are hourly. The dataset was generated by the UK National Oceanography Centre, Liverpool. The dataset consists of 240 data files in Climate and Forecast (CF) compliant NetCDF format, 120 from POLCOMS and 120 from WAM. This work is funded by the Aggregate Levy Sustainability Fund (ALSF) under contract MEPF 09-P114 and NERC National Capability funding. More information about the modelled data set and its applications can be found in Bricheno et al. (2015), and Aldridge et al. (2014).
Soil temperature measurements taken at various sites on Signy Island during the 2008-2009 field season. These measurements were used as part of an investigation to understand the effect of temperature and moisture on the availability of different nitrogen forms.