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
These data are GIS shapefiles which contain geospatial information describing the location and condition of bridges, buildings and roads in Chamoli District, Uttarakhand, India, following the 7th February 2021 avalanche and debris flow hazard cascade (the so-called ‘Chamoli event’). The dataset also contains a GIS shapefile which contains polygon outlines supporting geomorphological analysis of change in river valleys between the avalanche source and the town of Joshimath. The latter is designed to be used in conjunction with the other data resources contained in this data collection. Full details about this dataset can be found at https://doi.org/10.5285/a763e254-c249-4934-b0fb-c3b808b37db6
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.
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.
A vector polyline at 60 deg S which is the northern limit for ADD datasets.
The data set comprises temperature, pressure, position and occasionally wave data from nine drifting buoys that were deployed across the Southern Hemisphere. Data were collected from 1979 to 1981. Each buoy carried surface pressure and sea temperature sensors, and seven of the buoys were equipped with drogues in order to aid the study of large scale, near surface ocean currents, and to complement concurrent oceanographic observations made in the area by the research ship RRS Discovery. Two of the buoys were designed with good wave following characteristics and contained accelerometers and simple processors so as to yield good wave information. The buoys were equipped with UHF telemetry transmitters to relay data to the ARGOS system on board the polar orbiting meteorological satellites Tiros-9 and NOAA-6. The buoys were were deployed by the Institute of Oceanographic Sciences Wormley Laboratory UK as part of the First Garp Global Experiment (FGGE) Southern Hemisphere Drifting Buoy Network.
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 datset contains operational taxonomic units for epilithon eukaryotes (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/10.5285/18023db5-25d8-44f7-b291-61869f937367
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