This dataset comprises river centrelines, digitised from OS 1:50,000 mapping. It consists of four components: rivers; canals; surface pipes (man-made channels for transporting water such as aqueducts and leats); and miscellaneous channels (including estuary and lake centre-lines and some underground channels). This dataset is a representation of the river network in Great Britain as a set of line segments, i.e. it does not comprise a geometric network.

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

This dataset 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 Wolf 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 the mean position of the Southern Antarctic Circumpolar Current front (SACCF) in the Scotia Sea, southwest Atlantic sector of the Southern Ocean. The location of the front was determined from analysis of the geopotential anomaly field calculated from quality-controlled potential temperature and salinity data from the World Ocean Database 1998 (Levitus et al., 1998) supplemented by an additional hydrographic profile obtained from the Scripps Institute of Oceanography, as detailed by Thorpe (2001) and Thorpe et al. (2002). The geopotential anomaly data were gridded at a horizontal resolution of one quarter degree and spanned the period 1911-1990. The front position was generated as part of a studentship awarded to SE Thorpe, funded by the Natural Environment Research Council with CASE support from the British Antarctic Survey. The studentship was supervised by KJ Heywood, MA Brandon and DP Stevens.

This data set covers high resolution (30-min frequency) water quality and dissolved carbon data from a peatland river in Southwest Scotland (5.8 km2), part of the Whitelee Wind Farm complex. The data set covers approx. 2.5 years including two full hydrological years and 261 individual flood events between 23/05/2012 and 16/12/2014. Carbon data was measured using a Scan Spectrolyser – a field deployable UV-Vis light spectrometer. Full details about this dataset can be found at https://doi.org/10.5285/4c591c29-01c9-493b-806e-7253e2682376