cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/f7142ced-f6ff-486b-af33-44fb8f763cde
title: Grid-to-Grid model estimates of soil moisture for Great Britain and Northern Ireland driven by UK Climate Projections 2018 (UKCP18) Regional (12km) data (1980 to 2080)

description: 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.
description: This dataset is a model output from the Grid-to-Grid hydrological model (Bell et al. 2009; https://doi.org/10.1016/j.jhydrol.2009.08.031) driven by meteorological data derived from the United Kingdom Climate Projections 2018 (UKCP18) Regional (12km) projections (Met Office Hadley Centre 2018, catalogue.ceda.ac.uk/uuid/589211abeb844070a95d061c8cc7f604). The projections comprise a 12-member perturbed parameter ensemble (PPE) of the Met Office Hadley Centre Regional Climate Model (RCM) under representative concentration pathway (RCP) scenario RCP8.5. The meteorological variables used were daily precipitation, daily min and max temperature, and daily PE (Potential evaporation) derived from other meteorological variables (using the Penman-Monteith scheme). See Supporting Information for more details.
DOI: 10.5285/084e0bc6-e67f-4dad-9de6-0c698f60e34d
title: Corine land cover 2018 for the UK, Isle of Man, Jersey and Guernsey

description: This dataset is the 2018 Corine Land Cover map, consisting of 44 classes in the hierarchical three level Corine nomenclature. 

Corine Land Cover (CLC) 2018, CLC change 2012-2018 and CLC 2012 revised are three of the datasets produced within the frame of the Copernicus programme on land monitoring. Corine Land Cover (CLC) provides consistent information on land cover and land cover changes across Europe; these two maps are the UK component of Europe.

 This inventory was initiated in 1985 (reference year 1990) and established a time series of land cover information with updates in 2000, 2006 and 2012 being the last iteration. CLC products are based on photointerpretation of satellite images by national teams of participating countries – the EEA member and cooperating countries – following a standard methodology and nomenclature with the following base parameters: 44 classes in the hierarchical three level Corine nomenclature; minimum mapping unit (MMU) of status layers is 25 hectares; minimum width of linear elements is 100 metres; minimum mapping unit (MMU) for Land Cover Changes (LCC) for the change layers is 5 hectares. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. Land cover and land use (LCLU) information is important not only for land change research, but also more broadly for the monitoring of environmental change, policy support, the creation of environmental indicators and reporting. CLC datasets provide important datasets supporting the implementation of key priority areas of the Environment Action Programmes of the European Union as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive, among others. More information about the Corine Land Cover (CLC) and Copernicus land monitoring data in general can be found at http://land.copernicus.eu/.

description: CLC products are based in majority of EEA39 countries on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member and cooperating countries. This data covers the UK. All features in original vector database are delineated and classified on satellite images according to CLC specifications i.e. with better than 100 m positional accuracy and 25 ha minimum mapping unit (5 ha MMU for change layer) into the standardized CLC nomenclature (44 CLC classes). The change layer is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison.
Details of the QC are in the metadata. All areas were independently verified by a second interpreter. The quality of interpretation was checked by the European technical team.
DOI: 10.5285/30ae0230-e352-4a82-901d-ac1d42449044
title: Urban hydro-meteorological observation data 2016-2018 for Ouagadougou, Burkina Faso

description: This dataset represents the hydro-meteorological monitoring activities undertaken in Ouagadougou, Burkina Faso, during 2016-2018, as part of the DFID funded AMMA-2050 (African Monsoon Multidisciplinary Analysis) project (amma2050.org). The data comprises time series of rainfall, water level and river flow recorded at locations across Ouagadougou city for the purposes of building an understanding of hydrological function and hydrological model development. In-situ data were collected using tipping bucket raingauges and pressure level sensors, with spot gauging of river flows used to develop rating curves used to derive flow from level measurements in channels. 

The network was designed and set-up by the UK Centre for Ecology and Hydrology (UKCEH) and maintained by the Institut International D'ingénierie De L'eau Et De L'environnement (2iE) and processing was undertaken by UKCEH.
description: Flow data were derived from monitored depths during storm events using the derived ratings for each location, whereby flow is a function of depth and velocity, and velocity data were obtained from spot gauging during storms that occurred in the wet seasons over 2016-2017. Erroneous measurements were removed after visual inspection of the rating curve. Final rating curves linking depth to flow were derived for each site and applied to time series depth data to derive a time series of flow. Rainfall and dam level data were visually inspected to remove erroneous values
DOI: 10.5285/49daf07b-cfbe-48d1-8889-1adafe410a2e
title: Greenhouse gas, carbon isotopes, water physio-chemical properties and metal concentrations from mine water outflows in the Midland Valley, Scotland, 2022

description: Greenhouse gas (GHG) concentrations, physio-chemical water properties, metal concentrations and carbon radiogenic and stable isotope data of the GHG were measured to investigate the properties of mine water from legacy coal mines across the Midland Valley, Scotland between June 2022 to September 2022.
Sixteen identified outflows from abandoned coal mines were selected for measurement.  The locations are distributed from Lathallan Mill in the northeast to Kames in the southwest and included mine water outflows from the Fife, Central (Lanarkshire), Lothian and Ayrshire coal fields.  Some of the outflows had treatment systems and others discharged directly into rivers or streams.

description: Measurements were made across the 16 selected locations over the period June 2022 to September 2022. Water properties were analysed within the lab at UKCEH Edinburgh, metals were analysed by the University of Edinburgh and radiogenic isotopes of dissolved methane (CH4) and carbon dioxide (CO2) by the National Environmental Isotope Facility (NEIF) Radiocarbon Laboratory.  Data were collected as follows:
1.	Mine water sources (at the location mine water reaches the surface and is accessible for measurement). This included detailed measurement of carbon stable and radiogenic isotopes of dissolved CH4 and CO2, metal concentrations, GHG (CO2, CH4 and N2O) concentrations, physio-chemical water properties including temperature, pH, conductivity, oxygen, dissolved carbon and nitrogen and a range of ionic species.  
2.	Mine water treatment effectiveness. This included measurements of mine water throughout the reed pools treatments systems at four of the sixteen sites.  This included two sites using chemical oxidation and two sites using an aeration cascade.  Measurements   included metal concentrations, GHG concentrations and physio-chemical water properties.  Carbon stable and radiogenic carbon isotopes of dissolved CH4 and CO2 were measured in the reed pool to enable comparison with the source.
Data were carefully quality controlled to check analytical methods data were correct including cross checking of data between surveys.   Any suspect data have been removed.
Samples were collected and analysed as part of an IAPETUS 2 Doctoral Training Programme (DTP) NERC funded PHD.
DOI: 10.5285/9d98e1a7-7602-490f-9896-0eeed6eb1d40
title: Water quality data for the River Frome catchment, Dorset, 1976-2022

description: This dataset is a compilation of water quality data for the River Frome catchment, Dorset, UK. The data have been sourced from the Environment Agency and from Wessex Water Ltd., the water utility company for the catchment area. The monitoring sites are specifically located in the lower part of the River Frome, between the Environment Agency gauging stations at Dorchester and East Stoke. The dataset includes water quality measurements for boreholes, sewage treatment work (STW) final effluents, tributaries, and main river channels. In total there are 21 monitoring sites.

Water quality measurements date from 1976 to 2022. The main river channel and tributary sites are typically monitored on a monthly basis and the STW final effluents typically on a weekly basis. The borehole data can vary from weekly to monthly, depending on the determinand and borehole measured.

description: The data were downloaded from Environment Agency or Wessex Water data archives, or received upon request, and collated into one dataset. Given the length of the dataset and its multiple sources, the author checked to see if there were any obvious step changes in the data that would indicate a change in analytical method for any of the determinands measured. None were found. The data were cleaned and refined to the monitoring sites and determinands of interest. Determinands and monitoring sites with little data were also removed.
DOI: 10.5285/f4925dbe-875b-479c-8f98-5a11bbdb7ba4
title: Loch Leven monitoring data (water quality, chemistry, crustacean zooplankton), 2024

description: This dataset contains weather conditions, water quality, water chemistry and crustacean zooplankton counts sampled at Loch Leven throughout the year 2024. Loch Leven is a lowland lake in Scotland, United Kingdom. The data were collected as part of a long-term monitoring programme, which began in 1968 and is still underway. Sampling occurs roughly every 2 weeks with laboratory analysis and data processing being performed at the UK Centre for Ecology & Hydrology Edinburgh site. The sampling and processing were supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.
description: The data was collected from fieldwork at Loch Leven during 2024 and recorded into a database with some samples being processed in the laboratory first. All data has been through a QA process, which is detailed in the metadata document.
DOI: 10.5285/1af003b1-2f70-4e45-a31a-b07a5fe6e929
title: Concentrations of second generation anticoagulant rodenticides (SGARs) in Eurasian sparrowhawk livers, 1995-2015 for Great Britain

description: Data comprise concentrations of second-generation anticoagulant rodenticides (SGARs) in Eurasian sparrowhawk (Accipiter nisus) livers found dead in Great Britain between 1995 and 2015. The liver SGARs measured include Bromadiolone, Difenacoum, Brodifacoum, Difethialone, Flocoumafen and sum of SGARs in nanograms per gram-wet weight. The data also include demographic information (Age and Sex) for each bird and location where the bird was found.

Members of the public and other interested parties submitted Sparrowhawks to the Predatory Bird Monitoring Scheme (PBMS) after being found dead. The collection, examination, and archiving of birds and their tissues was conducted by the PBMS and supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Contaminants and data analysis was conducted under the CHEMPOP project, NERC grant NE/S000100/1. The UKAS Accredited UK Centre carried out liver analysis for Ecology & Hydrology Lancaster Analytical Chemistry Facility.
description: Dead sparrowhawks were submitted to the Predatory Bird Monitoring Scheme and frozen. Necropsies were carried out on each bird in which tissue samples were taken and stored at -20C  prior to chemical analysis. Macroscopic observations were recorded to determine age and sex of the bird. Chemical analysis to determine rodenticide concentrations were performed by UKAS accredited Laboratories. Gloria Pereira Head of Centralised Chemistry performed quality assurance of the resulting data. 

Chemical, provenance and necropsy data were collated by Richard Broughton and quality assured by Lee Walker in laboratories conforming to JCOPr.
DOI: 10.5285/ee577b07-1a2c-4541-bf30-e2ea048e15e1
title: UV absorbance of suspended sediments measured in a laboratory using a submersible spectrophotometer

description: This dataset contains information about submersible absorbance sensor responses to varying suspended sediment concentration, grain size and organic content. Laboratory tests were conducted at the University of Birmingham, UK, during 2023 as part of a wider study developing methods for urban storm flow characterization. Two sediment types were assessed along with three size fractions across concentration ranges from 0 mg/L to 5000 mg/L. Absorbance was recorded at key wavelengths between 190 – 360 nm and particle size distribution and organic content (loss on ignition) measured for each sediment type and size fraction.  

The work was supported by the Natural Environment Research Council (Grant NE/X011178/1).

description: Measurements were taken using a commercially available absorbance sensor, Trios Opus (TriOS GmbH, Germany) at 1 minute intervals. Sediments were sieved into size fractions and particle size was quantified using  a Malvern Mastersizer 2000  (Malvern, UK) and organic content was assessed using the Loss on Ignition method.

The experimental setup consisted of a 5 L beaker filled with 4 L of deionized water, a large stirrer set to a constant rpm, and an opaque surround to minimize interference from ambient light on sensor measurements. The sensor was placed in the centre of the beaker, ~5 cm above the stirrer blade. To verify uniform mixing, subsamples were taken directly beside the optical window of the sensor and at two other locations within the beaker. These subsamples were analysed using a commercial handheld turbidimeter (Sper Scientific Portable Turbidity Meter 860040) at predefined calibration points to confirm consistent turbidity. Turbidity readings were stable and comparable across all sample positions at each calibration point.

Each measurement cycle consisted of 15 calibration points spanning SSC concentrations from 0 to 5000 mg/L. During calibration, sensors recorded data continuously for 20 minutes, and once measurements had stabilized, 10 readings were randomly selected for further analysis.

All absorbance data were recorded by the TriOS Opus sensor and exported in CSV format, LOI data (weight measurements) were initially recorded on paper, then transferred into an Excel spreadsheet and particle size  data from the Mastersizer were exported as CSV files and imported into statistical software for analysis.  Records were screened for  any missing or null values and data points were checked to ensure they fell within expected ranges (e.g. in case of data entry errors).
DOI: 10.5285/74e4e6ec-a119-4dc7-8ada-9513252b1b60
title: Fluvial and pluvial flood maps for the central highlands of Vietnam and surrounding provinces, 2022

description: 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.
description: Flood maps are generated using an updated version of the global flood model described by Sampson et al (2015). Refer to Sampson et al (2015) for more details. Updates have been made to certain aspects of the model including estimation of channel conveyance capacity (Neal et al., 2021) and the elevation data used (Hawker et al., 2022). Model validation was conducted by comparing against satellite imagery and household survey data.
DOI: 10.5285/7a7d08e3-48e2-4aad-855b-9d6767b9ae9b
title: Vegetation survey of Moor House National Nature Reserve 2008-2009

description: The dataset comprises of plant species recorded from plots located within the Moor House National Nature Reserve, with associated plot information such as slope and aspect, also peat depth. The sampling strategy was based on a grid, using 2 x 2 metre square plots.  The majority of the plots were recorded in the summers of 2008 and 2009 by surveyors employed by the Centre for Ecology & Hydrology.  
description: In 2008, it was thought timely to undertake a re-survey of part of the Moor House reserve, as the previous vegetation survey had taken place over 50 years earlier.  The re-survey was carried out in June, July and August of 2008, and July and August 2009 (a few additional plots were surveyed in 2012).  Time constraints restricted the survey area to the Troutbeck catchment area of the Moor House reserve, an area largely dominated by Calluna vulgaris and Eriophorum vaginatum.  As it was not possible to identify the exact locations of the 1960s plots at that time, it was decided that a grid based sampling approach should be used, with plots spaced at 200m intervals (with some plots spaced at 100m intervals).  Plots were located using GPS.  The size of the plot was 2x2m.  At each quadrat point, altitude, slope, aspect, and vegetation height were all measured.  The depth of the underlying peat was also measured using an extendable ranging pole.  The vegetation cover was recorded using an electronic tablet. Absence/presence of species was recorded, along with the percentage cover of the species within the quadrat to the nearest 5%.  Full training was provided for the surveyors, and the resulting species lists have been checked for accuracy.
DOI: 10.5285/dda6dd55-f955-4dd5-bc03-b07cc8548a3d
title: Antibiotic susceptibility tests and resistance genes in Escherichia coli from humans, poultry and environmental samples in urban and rural Bangladesh (2017)

description: Antibiotic susceptibility tests are presented as the zone of inhibition using the disc-diffusion method, and categorized as resistant, intermediate or susceptible. DNA samples from antibiotic-resistant bacteria were analysed for the presence or absence of resistance genes using polymerase chain reaction (PCR). Laboratory analyses were conducted by trained staff at the International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b). 

The aim of the study was to identify the antibiotic-susceptibility profiles and resistance genes of bacteria (Escherichia coli) obtained from humans, poultry and the environment. Bacterial isolates previously identified with resistance to third-generation cephalosporins or carbapenems were included in the analysis. Bacterial samples originated from rural households and poultry farms (broiler chickens) in Mirzapur, Tangail district; and urban food markets in Dhaka city, Bangladesh.  Environmental samples included surface water, water supply, wastewater, soil, animal faeces (poultry and cattle) and solid waste. 

The survey was part of a wider research project, Spatial and Temporal Dynamics of Antimicrobial Resistance Transmission from the Outdoor Environment to Humans in Urban and Rural Bangladesh. The research was funded by NERC/BBSRC/MRC on behalf of the Antimicrobial Resistance Cross-Council Initiative award NE/N019555/1.

description: Water (drinking, stream, waste and pond), soil and faecal samples were collected from farms and urban markets. Laboratory analysis of bacterial samples took place at International Centre for Diarrhoeal Disease Research , Dhaka, Bangladesh. Laboratory results were recorded on paper-based forms or generated from automated readings, entered into Excel then converted to .csv files for ingestion into the Environmental Information Data Centre. Reference organisms and Clinical and Laboratory Standard Institute (CLSI) guidelines were followed.
DOI: 10.5285/8eab30af-25b4-4ac2-a470-411df9749464
title: Data from automatic water monitoring buoy from Blelham Tarn, 2012 to 2015

description: This dataset consists of hourly lake temperature, air temperature, solar irradiance and wind speed data from an automatic water monitoring buoy on Blelham Tarn, a lake in the North West of England. The lake temperatures are measured in various depths of the lake (see supporting documentation). Measurements were taken every 4 minutes and calculated as hourly averages. The data were collected by the Centre for Ecology & Hydrology between 2012 and 2015 inclusive. This dataset has been used in various publications, please see supporting documentation for more detail.
description: Data from the automatic water quality buoy on Blelham Tarn are collated and processed by the Centre for Ecology & Hydrology at Lancaster. Data are available for download from 2012 to 2015. See supporting documentation for further information. Data has been checked visually and any obvious errors introduced by hardware malfunctioning have been removed.
DOI: 10.5285/3c23fea1-5b27-4b01-b9ef-fc13346cfedc
title: Radar derived seasonal surface water maps for three Indian districts (Shivamogga, Sindhudurg, Wayanad), 2017-2018

description: Data provided are monthly surface water layers extracted from Sentinel1A SAR data for 3 districts in India (Shivamogga, Sindhudurg, Wayanad) for the year 2017 and 2018. Surface water body layers were mapped using an average monthly threshold value extracted from the image backscatter histogram. The average threshold value excluded the monsoon months due to the difference in water and not water area. The threshold value was slightly lesser than the mean threshold value. The end product was validated using field data which resulted in user and producer accuracies. Monthly surface water body layers were not produced for a few months due to the non-availability of Sentinel 1 data.

The work was supported by MRC, AHRC, BBSRC, ESRC and NERC [grant number MR/P024335/1] and NERC - SUNRISE project [grant number NE/R000131/1]
description: Maps were generated using Sentinel1A GRD data pre-processed to backscatter images using the SNAP software.

Surface water is identified by applying a water/non-water threshold on the SAR backscatter images. The resulting maps were validated against in situ reference data to produce a measure of class user’s and producer’s accuracy.