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This resource comprises two Jupyter notebooks that includes the model code in python to train a random forest model to predict long-term seasonal nitrate and orthophosphate concentrations at each river reach in Great Britain. The input features considered are catchment descriptors and land cover matched to the reaches. The training data is obtained from the Environmental Agency Water Quality Archive, 2010-2020. This method provides an effective way to map water quality data from stations to the river network. A live demo of a web application to visualize the dataset can be viewed at https://moisture-wqmlviewer.datalabs.ceh.ac.uk/wqml_viewer Full details about this application can be found at https://doi.org/10.5285/ba208b6c-6f1a-43b1-867d-bc1adaff6445
This dataset consists of estimations of wave parameters, near surface currents and the underlying bathymetry based on X band radar data. These data were used to explore the use of radar to derive nearshore bathymetry at a complex site, at Thorpeness in Suffolk, UK. A Kelvin Hughes 10kW, 9.41 GHz marine X-band radar system was utilised at the field site between August 2015 and April 2017. These data were collected for the UK Natural Environment Research Council (NERC) grant NE/M021564/1- X-band radar applications for coastal monitoring to support improved management of coastal erosion, led by scientists at Bournemouth University, Faculty of Science and Technology.
Results of a survey undertaken in 2018 involving a range of open and closed questions intended to elicit local residents’ values they attach to the importance of coastal attributes and their perceptions of various tidal and wave energy development characteristics. Three case study sites were selected: Weston-super-Mare, Minehead, and the Taw-Torridge Estuary, South-West UK. Full details about this dataset can be found at https://doi.org/10.5285/e5190fd0-2995-42aa-aca0-80714abde768
This dataset consists of the 1km raster, dominant target class version of the Land Cover Map 1990 (LCM1990) for Northern Ireland. The 1km dominant coverage product is based on the 1km percentage product and reports the habitat class with the highest percentage cover for each 1km pixel. The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. This dataset is derived from the vector version of the Land Cover Map, which contains individual parcels of land cover and is the highest available spatial resolution. LCM1990 is a land cover map of the UK which was produced at the UK Centre for Ecology & Hydrology by classifying satellite images (mainly from 1989 and 1990) into 21 Broad Habitat-based classes. It is the first in a series of land cover maps for the UK, which also includes maps for 2000, 2007, 2015, 2017, 2018 and 2019. LCM1990 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the UKCEH web site and the LCM1990 Dataset documentation) to select the product most suited to their needs. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/d33593d7-5c4d-419e-924c-b341847fd6ae
The dataset comprises 15 hydrographic data profiles, collected by a conductivity-temperature-depth (CTD) sensor package, from across the North East Atlantic Ocean (limit 40W) area specifically west of the McGowan Seamount, during August of 1974. A complete list of all data parameters are described by the SeaDataNet Parameter Discovery Vocabulary (PDV) keywords assigned in this metadata record. The data were collected by the Institute of Oceanographic Sciences Wormley Laboratory.
This model code for object oriented data analysis of surface motion time series in peatland landscapes provides the procedure to assess peatland condition using object oriented data analysis. The model code assesses peatland condition according to which cluster each surface motion time series is assigned, based on key measures capturing differences between the time series. It can be run on any machine with R. Full details about this application can be found at https://doi.org/10.5285/dbdb9f19-c039-4a73-b590-e1acc7f79df4
The dataset includes six files of UK physical river characteristics including five files of gridded data at 1km × 1km resolution and one comma separated table. The data includes: • Drainage directions (D8 flow method), ESRI coding • Drainage directions (D8 flow method), unifhy (python hydrology framework) coding • Catchment areas (km2) • Widths of bankfull rivers (m) • Depths of bankfull rivers (m) • NRFA gauging station locations (easting (m), northing (m)) Two versions of drainage directions are provided, both have the same drainage directions but different numbering systems. The comma separated NRFA (National River Flow Archive) gauging station locations table provides the best locations of 1499 river flow gauging stations on the 1km grids, together with the approximate error in the 1km × 1km gridded delineation of the upstream catchment area. All datasets are provided on the British National Grid. Full details about this dataset can be found at https://doi.org/10.5285/8df65124-68e9-4c68-8659-1c6b82c735e9
The dataset comprises 6 hydrographic data profiles, collected by a conductivity-temperature-depth (CTD) sensor package, from across the Irish Sea and St. George's Channel, Bristol Channel and the Celtic Sea areas including specifically the Nymphe Bank and on the shelf edge in the vicinity of the Goban Spur. The data were collected during April of 1979. A complete list of all data parameters are described by the SeaDataNet Parameter Discovery Vocabulary (PDV) keywords assigned in this metadata record. The data were collected by the Institute of Oceanographic Sciences Wormley Laboratory.
[This dataset is embargoed until September 1, 2024]. Vegetation data from field surveys undertaken at two experimental trials at Martin Down NNR, to investigate the potential for reducing dense Brachypodium pinnatum cover (experiment 1) and preventing further expansion of sparse cover (experiment 2). Experiment 1 explores the use of herbicide and reseeding, whilst experiment 2 examines cutting and grazing in the spring, autumn and both seasons. Percentage cover of all vascular plant species were recorded in 50 cm x 50 cm quadrats in each treatment replicate for both experiments. Surveys were undertaken in 2019 as a baseline before the experiments commenced, and post treatment in 2020, 2021 and 2022. Full details about this dataset can be found at https://doi.org/10.5285/f15e64c0-db65-40ec-8b6d-50573f5f6694
This is a 25m pixel data set representing the land surface of Northern Ireland, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is a three-band raster in GeoTiff format, produced by rasterising three properties of the classified land parcels dataset. The first band gives the most likely land cover type; the second band gives the per-parcel probability of the land cover, the third band is a measure of parcel purity. The probability and purity bands (scaled 0 to 100) combine to give an indication of uncertainty. A full description of this and all UKCEH LCM2020 products are available from the LCM2020 product documentation. Full details about this dataset can be found at https://doi.org/10.5285/c1d73bd3-33aa-4a5f-aac5-47c403c2a0e6