This dataset includes catchment stream inflow and outflow rates, secchi depth, chlorophyll, phytoplankton counts and nutrient concentrations for the lake, inflow, outflow and groundwater spring. The measurements are from a PhD research project at Rostherne Mere in Cheshire. These data were collected to show the relationship between the catchment hydrology and in-lake nutrient loads for assessment of the current catchment nutrient budget. The monitoring study covered a period from January 2016 to January 2017. All data is presented with date, flow rate, nutrient and chlorophyll concentrations and phytoplankton species abundance. The work was carried out as part of a Natural Environment Research Council (NERC) funded PhD [grant number NE/L002493/1]. Full details about this dataset can be found at https://doi.org/10.5285/5c6b2bcb-6b10-4c57-a595-ce94a655e709

This dataset is part of Integrated Hydrological Units (IHU) of the UK, a set of geographical reference units for hydrological purposes including river flow measurement and hydrometric data collection. This dataset was derived from the Integrated Hydrological Terrain Model. A Catchment represents the full area upstream from a Section outlet, which is a cell upstream of a confluence of two watercourses with known names. While Sections do not overlap, Catchments can overlap because one Catchment contains Catchments for all upstream Sections. This layer currently covers Great Britain only as no dataset with river geometries and names with suitable detail is available for Northern Ireland. Full details about this dataset can be found at https://doi.org/10.5285/10d419c8-8f65-4b85-a78a-3d6e0485fa1f

A dataset of historical sediment Carbon and Nitrogen isotope measurements from lake cores (n=95) spanning the range of lake types and catchments found across the UK. These data have been obtained from the Environmental Change Research Centre (ECRC) lake sediment core archive with well-resolved time intervals (1850, 1900, 1980 and present) determined by radiometric dating (210Pb; 137Cs). This data has been collated to investigate historical sources and accumulation of C and N in lakes. This dataset provides historical data for hydrological / nutrient modelling from the Long Term Large Scale (LTLS) Project in the NERC Macronutrients programme. Full details about this dataset can be found at https://doi.org/10.5285/4b53b1d7-f290-4b47-97e9-9f9ec79f3003

This dataset is part of Integrated Hydrological Units (IHU) of the UK, a set of geographical reference units for hydrological purposes including river flow measurement and hydrometric data collection. Hydrometric Areas are either integral river catchments having one or more outlets to the sea or tidal estuary, or they may include several contiguous river catchments having topographical similarity but separate tidal outlets. Hydrometric Areas are the coarsest units of the IHU in terms of spatial resolution. This dataset represents the same entities as the Hydrometric Areas with Coastline. The coastline of Hydrometric Areas without Coastline follows the boundaries of the CEH Integrated Hydrological Digital Terrain Model, from which IHU were derived, while the coastline used in Hydrometric Areas with Coastline was derived from Ordnance Survey data. The Hydrometric Areas without Coastline currently covers Great Britain only as no dataset with river geometries and names with suitable detail is available for Northern Ireland. Full details about this dataset can be found at https://doi.org/10.5285/3a4e94fc-4c68-47eb-a217-adee2a6b02b3

This dataset is part of Integrated Hydrological Units (IHU) of the UK, a set of geographical reference units for hydrological purposes including river flow measurement and hydrometric data collection. Groups represent the intermediate units of IHU in terms of spatial resolution. The most common size of a group is around 400 square kilometres. Each Group carries a name constructed from names of the major river flowing through the Group, the major river flowing into the Group, the major river into which the Group flows, and sometimes also from local county names. Each Group consists of one or more Section and Groups can be combined to form Hydrometric Areas without Coastline. Identifiers and attributes have been calculated so that direct upstream and direct downstream IHU units can be selected. This layer currently covers Great Britain only as no dataset with river geometries and names with suitable detail is available for Northern Ireland. Full details about this dataset can be found at https://doi.org/10.5285/f1cd5e33-2633-4304-bbc2-b8d34711d902

[THIS DATASET HAS BEEN WITHDRAWN]. The dataset captures the temporal and spatial variability of dilution factors (DFs) around the world using geographically referenced data sets at 0.5 degree resolution and includes long term annual and monthly DFs grids. The dilution factor (DF) dataset is composed of 13 rasters: 1 annual and 12 monthly. DFs are a critical component in estimating concentrations of 'down-the-drain' chemicals which enter freshwaters following consumer use via the domestic waste water stream (e.g., pharmaceuticals, household cleaning products). The DF is defined as the ratio between flow and total domestic wastewater effluent generated within a catchment. The methodology was specifically developed to be applied across the world even within those countries where river flow data and/or wastewater effluent data is scarce. The present dataset has potential for a wide international community (including decision makers and pharmaceutical companies) to assess relative exposure to 'down-the-drain' chemicals released by human pollution in rivers and, thus, target areas of potentially high risk. Full details about this dataset can be found at https://doi.org/10.5285/42044391-a041-4884-bed7-67f67490224f

This dataset is part of Integrated Hydrological Units (IHU) of the UK, a set of geographical reference units for hydrological purposes including river flow measurement and hydrometric data collection. A Section is the drainage area of a watercourse between two confluences. Only confluences of named watercourses were considered. Each Section carries a name constructed from names of the major river flowing through the Section, the major river flowing into the Section, and the major river into which the Section flows. Sections are spatially consistent with Groups: each Group is made up of one or more Section. Each Section is associated with one Catchment representing the full area upstream from the Section outlet. Identifiers and attributes have been calculated so that direct upstream and direct downstream IHU units can be selected. This layer currently covers Great Britain only as no dataset with river geometries and names with suitable detail is available for Northern Ireland. Full details about this dataset can be found at https://doi.org/10.5285/a6e37e39-9e10-4647-a110-12d902403095

Data comprise meteorological measurements (mean, minimum and maximum daily air temperature, minimum and maximum daily relative humidity, wind speed (kilometres per second at 10metres height), dew point temperature, estimated actual vapour pressure, precipitation, estimated surface resistance, estimated albedo and estimated Potential evapotranspiration (PET)) for the Siksik catchment, North West Territories, Canada for 2013 and 2014. The data were collected under Project HYDRA, a NERC funded UK research project linking Heriot Watt University, the Universities of Durham, Aberdeen and Stirling, and the Centre for Ecology & Hydrology (CEH), Edinburgh. Project HYDRA is part of the UK Arctic Research Programme. Project HYDRA studies sites in Arctic Canada to investigate the biological, chemical and physical controls on the release of greenhouse gases from permafrost into melt water and to the atmosphere and how these emissions will influence global warming. Full details about this dataset can be found at https://doi.org/10.5285/5bb560ee-15bf-4ab9-8c2e-3a76c688e69d

Water quality data from 26 Ribble and Wyre river basin sites in north west England. Samples were analysed for major solutes, pH, Gran alkalinity, trace metals, mercury and chlorophyll. Full details about this dataset can be found at https://doi.org/10.5285/b4b44b04-bfd0-40ca-b60a-681018eb78ce