This dataset contains the codes for water laboratory analysis, water sample identification, sampling dates and locations for water samples collected from the Tamar catchment in winter 2013/2014 as part of the South West project. It should be used in conjunction with datasets describing water bacteria and water eukaryote operational taxonomic unit sequence data. Full details about this dataset can be found at https://doi.org/10.5285/d36fb15b-6cfb-4488-b6b7-2b62dcf00b46

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 is a web map service (WMS) of Digital Surface Model (DSM) data in South West England at a 1m resolution. The DSM covers an area of 9424 km2 that includes all the land west of Exmouth (i.e. west of circa 3 degrees 21 minutes West). The DSM includes the height of features on the bare earth such as buildings or vegetation (if present). The dataset is a part of outcomes from the Centre for Ecology & Hydrology South West (SW) Project.

This is a high resolution spatial dataset of Digital Terrain Model (DTM) data in South West England. The DTM along with a Digital Surface Model (DSM) cover an area of 9424 km2 that includes all the land west of Exmouth (i.e. west of circa 3 degrees 21 minutes West). The DTM represents the topographic model (height) of the bare earth. The dataset is a part of outcomes from the Centre for Ecology & Hydrology South West (SW) Project. There is also a Digital Surface Model (DSM) dataset covering the same areas available from the SW project. Full details about this dataset can be found at https://doi.org/10.5285/e2a742df-3772-481a-97d6-0de5133f4812

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 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 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 vegetation abundance data and sward height data from a number of plots across a restoration gradient within South West England. The restoration gradient covered intensive land use (referred to in the data as reference or control), restoring and pristine habitats. Data were collected between April and July in 2014. Vegetation abundance was recorded as percentage cover of species within a 1m x 1m quadrat. Five quadrats were recorded per plot. Sward height was recorded using two methods: drop disc or direct measure. Five height measurements were taken using both methods at each site. To protect the anonymity of private landholders, details of sampling plot location is not provided with this dataset. The data were collected by the Centre for Ecology & Hydrology as part of the Tellus South West project. Full details about this dataset can be found at https://doi.org/10.5285/110199cf-245e-4fa8-a9ca-386657b5fe20

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