This dataset contains palaeolimnological data from sediment cores taken from five Arctic lakes. Two lakes located in Alaska were cored in July 2013, one lake located in Greenland was cored in April 2013, and two lakes located in Norway were cored in March 2014. The data includes macrofossil, chironomids and Cladocera analysis at 2 cm resolution; and loss on ignition, diatoms, biogenic silica, nitrogen and carbon isotopes, algal photosynthetic pigments and pollen analyses at 1 cm resolution. All cores were subject to X-Ray Fluorescence scanning analysis at 200 or 400 micrometer resolution before subsampling. The data were collected as part of the Lakes and Arctic Carbon project, funded under NERC's Arctic Research Programme. Full details about this dataset can be found at https://doi.org/10.5285/e48aa7ca-e8af-482a-bebd-45291de9584f

The dataset contains dissolved greenhouse gas and water chemistry data collected across 12 axial surveys of the Tay estuary, Scotland, starting in April 2009 and ending in July 2011. Ten fixed sampling points on the estuary were surveyed on each boat based campaign. Data were obtained either via direct, field-based measurements, or via subsequent sample processing and analysis in laboratories at UKCEH Edinburgh. Full details about this dataset can be found at https://doi.org/10.5285/ec78b74e-631d-4bef-8c28-618b4dc0fffd

This dataset comprises field sensor physicochemical and optical/fluorescence measurements, as well as laboratory microbiological and chemical analysis, for urban surface water samples. Samples were collected at different locations throughout the urban area of Kolkata, with the latitude and longitude of all sample location provided within the spreadsheets. Samples/data were collected across three separate field surveys undertaken in June 2018 (file 1), March 2019 (file 2) and December 2019 (file 3). This dataset forms a case study of the water quality of three different types of urban surface freshwaters within the city of Kolkata, India. This case study was created to deploy a prototype multichannel fluorimeter and assess its ability to identify waters with a high bacterial load and biological contamination events through the use of Peak T fluorescence. Full details about this dataset can be found at https://doi.org/10.5285/9bc3dce7-7c2b-49dd-9b76-819267d7a352

Gridded hydrological model soil moisture estimates on a 1km grid over Great Britain and Northern Ireland for the period Dec 1980 - Nov 2080 (units: m water/m soil), driven by UK Climate Projections 2018 (UKCP18) Regional (12km) data (1980 to 2080). The data are provided in gridded netCDF files. There is one file for each ensemble member and separate files for Great Britain and Northern Ireland. To aid interpretation, two additional spatial datasets are provided: 1km x 1km grids identifying majority lake cells for (a) Great Britain, and (b) Northern Ireland. The data were produced as part of UK-SCAPE (UK Status, Change And Projections of the Environment; https://ukscape.ceh.ac.uk, Work Package 2: Case Study - Water) a NERC-funded National Capability Science Single Centre award. Full details about this dataset can be found at https://doi.org/10.5285/f7142ced-f6ff-486b-af33-44fb8f763cde

Data were generated to investigate the influence of bed roughness on the dynamics of large sand-bed rivers like the South Saskatchewan, Canada. The influence of roughness was investigated by using a numerical model to simulate the evolution of the river bed for a hypothetical sand-bed river modelled on the South Saskatchewan. The model generated information on the evolving river bed topography, water depth, flow velocities and sediment transport rates, over a period of 28 years as part of NERC project NE/L00738X/1 Full details about this dataset can be found at https://doi.org/10.5285/790e507c-ce99-47ca-99b4-c97a684ee8c6

This dataset contains river (fluvial) and surface water (pluvial) flooding maps for the central highlands of Vietnam and surrounding provinces. Flood depth is estimated at 30m horizontal grid spacing for 10 return periods, ranging from the 1 in 5 year to the 1 in 1000 year return period flood. These maps are of relevance to planners and policy makers to estimate which areas of most at risk of flooding and can contribute towards policy such as the sustainable development goals. Full details about this dataset can be found at https://doi.org/10.5285/74e4e6ec-a119-4dc7-8ada-9513252b1b60

Data on the carbon and nitrogen cycling in sediments from rivers within the Hampshire Avon catchment, UK. The dataset includes functional gene data, anion and cation concentrations, methane production and oxidation potential, carbohydrates concentrations, pigment data, and particle size data. Data were collected between February 2013 and November 2014. Data were collected to address the hypotheses of how the functional microbial community involved in carbon and nitrogen cycling changed seasonally and with geology. Data were collected as part of the project "The role of lateral exchange in modulating the seaward flux of C, N, P", funded under NERC's Macronutrients Cycles research programme. Full details about this dataset can be found at https://doi.org/10.5285/976602b3-a58d-460c-a52d-088d0bb09989

Sediment and soil samples were collected during a six-month project in 2018 looking at the sources of sediment within the River Derwent Catchment, Yorkshire, UK. The data shows the mineralogical composition of each sample site, processed using X-ray powder diffraction (XRD). The data has been used to understand where instream sediment in the River Derwent is coming from. This information can be used to inform catchment management. Full details about this dataset can be found at https://doi.org/10.5285/27a84ac6-c3fd-4c86-9540-f60b4dbfa14f

This dataset is model output from the GR4J lumped catchment hydrology model. It provides 500 model realisations of daily river flow, in cubic metres per second (cumecs, m3/s), for 303 UK catchments for the period between 1891-2015. The modelled catchments are part of the National River Flow Archive (NRFA) (https://nrfa.ceh.ac.uk/) and provide good spatial coverage across the UK. These flow reconstructions were produced as part of the Research Councils UK (RCUK) funded Historic Droughts and IMPETUS projects, to provide consistent modelled daily flow data across the UK from 1891-2015, with estimates of uncertainty. This dataset is an outcome of the Historic Droughts Project (grant number: NE/L01016X/1). The data are provided in two formats to help the user account for uncertainty: (1) a 500-member ensemble of daily river flow time series for each catchment, with their corresponding model parameters and evaluation metric scores of model performance. (2) a single river flow time series (one corresponding to the top run of the 500), with the maximum and minimum daily limits of the 500 ensemble members. Full details about this dataset can be found at https://doi.org/10.5285/f710bed1-e564-47bf-b82c-4c2a2fe2810e

Data were collected in 2017, to provide information on spatial patterns of dune migration rates and associated water flow characteristics, at locations on the South Saskatchewan River, Canada. Dune migration rates were measured using repeat aerial imagery. Bedform crests were digitised in individual images, and average dune migration rates were calculated from the mean migration distance between image pairs, divided by the time between image collection. Water depth and velocity data were collected using a Sontek M9 acoustic Doppler current profiler (aDcp) mounted on a small zodiac boat. The position of the aDcp was recorded using a RTK dGPS system. Data were collected on 12th June 2017 as part of NERC project NE/L00738X/1 Full details about this dataset can be found at https://doi.org/10.5285/864434b7-2102-4edc-802d-ebdbfe9ff766