cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/6f3f1d06-4e6b-435e-a770-af7549993b88
title: Socio-economic survey of domestic groundwater handling and use for source customers in Kisumu, Kenya in 2014

description: This dataset contains the anonymised results of a survey of customers who buy groundwater for consumption in Kisumu, Kenya. Data includes information on the amount of water bought and ways in which this water was used and handled, as well as their use of water from other sources. Data about assets and services, including access to food, are also included. The surveys were carried out during February and March 2014 and include data from 137 well customers. The data were collected as part of the Groundwater2030 project, which aims to reduce the health problems that result from consumption of contaminated groundwater in urban areas of Africa. The project was co-ordinated by the University of Southampton, with partners at the University of Surrey, the Victoria Institute of Research on Environment and Development (VIRED) International, and the Jaramogi Oginga Odinga University of Science and Technology. The project was funded by the Natural Environment Research Council and the Department for International Development as part of the Unlocking the Potential of Groundwater for the Poor (UPGro) programme.
description: Data were collected using trained surveyors using a standardised questionnaire. Customers who took part in the survey were selected at random from a list of customers for each groundwater source/well.
DOI: 10.5285/9e044339-dd06-4f69-b93c-40a79562931c
title: Water discharge data for Trout Beck, Cumbria 1961-1980

description: This dataset contains daily water discharge data from Trout Beck in the Moor House-Upper Teesdale National Nature Reserve in the northern Pennines, Cumbria, UK.   
 Data were automatically recorded at a gauging station located on a weir on the Trout Beck and collated by a variety of staff at the Moor House Research Station on behalf of the Wear and Tees River Board and the National Rivers Authority. 
description: These data were collected by variety of staff at the Moor House Research Station on behalf of the Wear and Tees River Board and the National Rivers Authority (NRA) and stored in a database at the Centre for Ecology & Hydrology (as described by Cuthbertson, M. (1993).  A database for environmental research programmes.  Journal of Environmental Management, 37 (1993), pp. 291-300).  Note: There is a large peak in the discharge values in March 1979; there were no notes about this within in the database but it may be related to snow melt following a major snow event in the UK.
DOI: 10.5285/5e268e86-4a4f-4112-bf2d-c3b0179c915c
title: Habitat, vegetation, tree and soil data from Native Pinewoods in Scotland, 2018-2022

description: A set of data arising from a detailed ecological re-survey of the native Scots Pine woodland habitats within Scotland. In all, 27 woods from throughout Scotland were identified as the major remaining native pinewoods, and within each wood sixteen randomly selected 200m2 plots were surveyed between 2018 and 2022. Details about the trees, ground flora, soil, habitat types as well as general plot information were collected for each plot using standardized procedures and coding systems. The survey was a repeat of an identical survey carried out in 1971, and thus allows an assessment of change in the woodlands since that time. 

The survey was funded by a consortium led by the Woodland Trust, and carried out by staff employed by the UK Centre for Ecology & Hydrology.
description: Data from a detailed ecological survey of the Scots Pine woodland habitats within Britain, undertaken between 2018-2022. In all, 27 woods from throughout Scotland were identified as the major remaining native pinewoods, and within each wood sixteen randomly selected 200m2 plots were surveyed. Details about the trees, ground flora, soil, habitat types as well as general plot information were collected for each plot by trained field surveyors using electronic data capture devices. The data are managed by the UK Centre for Ecology & Hydrology at Lancaster.
DOI: 10.5285/eec9634d-ba2b-4553-a65d-ef6ce4c40ebc
title: Heavy metal, nitrogen, and sulphur atmospheric deposition from the European Monitoring and Evaluation Program Model for the UK (EMEP4UK) for 2040, 2070 and 2100 under the Shared Socioeconomic Pathway scenarios 1-5

description: This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides annual total atmospheric deposition of cadmium, copper, nickel, lead, zinc, sulphur, and nitrogen over the UK on a 3x3 km2 grid for the years 2040, 2070 and 2100 under the Shared Socioeconomic Pathways (SSPs) 1-5. SSPs are future scenarios based on narratives of possible socio-economic pathways.
The EMEP4UK model version used here is rv4.36, and the WRF model version is the 4.2.2.
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.

description: Daily average concentrations for a model domain covering the UK with a resolution of about 3x3 km2 were calculated using the EMEP4UK atmospheric chemistry transport model. The model was evaluated using the UK Automatic Urban and Rural Network (AURN) monitoring stations. R was used to access the AURN dataset to evaluate the EMEP4UK model output.
To assess and control the quality of the heavy metal data, we used observations from the Defra UK Heavy Metals Network and historical observation from NETCEN.

The data were processed from the full EMEP4UK model output to a subset containing essential variables only. The Climate Data Operators version 1.9.10 was used to subset the model output.
DOI: 10.5285/8f9bb7c8-42b6-46f3-9718-84755810be7a
title: Trait data for 925 species of macro- and micro-moths recorded in six regions of England 2017-2021

description: These databases contain collated trait data for 925 species of macro- and micro-moths recorded on the Landscape-scale Species monitoring of Agri-Environment Schemes (LandSpAES) project, on farmland in six regions of England (The Fens, High Weald, South Suffolk / North Essex, Warwickshire, Yorkshire Dales, Dartmoor) during 2017-2021. 

The traits collated include life cycle ecology and phenology, conservation status and relative abundance, host plant specificity and characteristics, adult feeding, pupal habitat, breeding habitat, and morphological characteristics. Broader categories, such as breeding habitat, are also split into sub-categories.
description: Data were collated from a range of referenced published sources and one web site. The sources for each type of collated data are described in the supporting information and metadata.
DOI: 10.5285/af4c9b5a-fba9-4133-b782-2a2cbc927280
title: Bird ringing records from Wytham Woods, Oxfordshire, UK during 2020 and 2021

description: This dataset contains information about the ringing records of mainly great tits, blue tits, marsh tits and coal tits, and a few other bird species. The data were collected in Wytham woods, Oxfordshire, UK during 2020 and 2021, as part of a long-term population monitoring project on the breeding biology and behaviour of birds. 
description: During April - June, all unringed breeding pairs were trapped at the nest and fitted with a British Trust for Ornithology (BTO) metal leg ring. Great tits and blue tits were additionally fitted with a plastic leg ring containing a RFID tag (IB Technologies, UK). All nestlings were also fitted with these tags at 2 weeks old. Additional ringing was carried out throughout the autumn and winter across the woodland. Birds were trapped using mistnets; biometrics (mass, wing length, tarsus length, fats score) were recorded for all birds and immigrants to the population were fitted with tags. All birds were released after they were processed. These data were entered into our internal Edward Grey Institute (EGI) Bird data Management Project application (EBMP), where they underwent a number of quality checks.
DOI: 10.5285/e96466c3-5b67-41b0-9252-8f8f393807d7
title: Half hourly fluxes of sensible heat, latent energy and carbon, observed by eight eddy covariance towers in the Northern Chihuahuan Desert, North America, 2018-2019

description: Half-hourly data from eight eddy covariance towers deployed in the Sevilleta Refuge (New Mexico, USA). The main sensors deployed were sonic anemometer, relative humidity sensor and carbon dioxide concentration sensor . They were deployed and maintained by Fabio Boschetti and Andrew Cunliffe (University of Exeter). The data were collected to test the new design of eddy covariance towers and investigate the spatial variability of fluxes. Data were collected from 2018-11-01 to 2019-11-01. The data contains very few small gaps due to maintenance. Half-hourly data were gap-filled using code published on GitHub. The research was funded through NERC grant reference NE/R00062X/1 - "Do dryland ecosystems control variability and recent trends in the land CO2 sink?"
description: Raw data were pre-processed to check for the following, spike detection, coordinate rotation, frequency response correction, cross correlation and WPL (Webb, Pearman, and Leuning) correction. Half-hourly data were gap-filled using the code published on GitHub and subjected to season-specific u* filtering using the ReddyProc R package v1.2. Cospectra analysis was performed using Hamming window. Spikes in the data were excluded using a method based on Tukey’s fence. Data were supplied to the EIDC as comma seperated value (.csv) files.
DOI: 10.5285/15026591-f803-4b18-a359-cd69ea0e6069
title: Soil functional measurements (enzymatic activities) across geo linked sampling locations, on grassland, UK (2016)

description: Data are presented of enzymatic activity of soil collected from paired intensive and extensive grassland systems including low and high pH parent soils, from 32 sites across the United Kingdom. The samples were collected during winter and spring 2015-2016 by project staff experienced in soil core collection. Dry soil samples were analysed for a suit of extracellular hydrolytic enzyme activities. Fluorescently labeled substrates were used to enable the activity of the following enzymes to be measured. All analysis was carried out at CEH Wallingford. 

The data were collected to help understand soil functional change in a variety of management and climatic scenarios as part of NERC U-GRASS (Understanding and enhancing soil ecosystem services and resilience in UK grass and croplands) award (NERC Reference NE/M017125/1) part of the NERC Soil Security Programme.

description: Soil samples were collected from 32 grassland sites across the United Kingdom and stored frozen at –20 degrees Celsius prior to subsequent processing for chemical, physical, molecular and functional characteristics. Analysis was carried out for a suit of extracellular hydrolytic enzyme activities were assessed. Fluorescently labeled substrates were used to enable the activity of the following enzymes to be measured. All analysis was carried out at CEH Wallingford. Results were returned from the laboratories compiled into an Excel spreadsheet. The compiled data set was exported as a comma separated value file for deposition into the EIDC.
DOI: 10.5285/b0545f67-e47c-4077-bf3c-c5ffcd6b72c8
title: European Monitoring and Evaluation Program Model for the UK (EMEP4UK) daily atmospheric composition and fluxes for 2001-2015

description: This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides UK estimates daily averaged atmospheric composition at approximately 5 km grid for the years 2001 to 2015.

The data consists of atmospheric composition and deposition values of various pollutants; including PM10, PM2.5, secondary organic aerosols (SOA), elemental carbon (EC), secondary inorganic aerosols (SIA), sulfur dioxide (SO2), ammonia (NH3), nitrogen oxides (NOX) , and ozone (O3).

The EMEP model version used here is rv4.17 and the WRF model version is the 3.7.1.

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.

A version of this dataset is available (https://doi.org/10.5285/ca302d30-7b8b-46ec-90b6-67b79df00c92), run with the latest release of the Atmospheric Chemistry Transport Model EMEP (rv4.36) and with the latest NAEI emissions. The new set of model runs covers an extended time period from 2002 until 2021 and is available in a higher resolution (3 km2 x 3km2).
description: The EMEP4UK atmospheric chemistry transport model calculated daily average concentrations and daily total for depositions for a model domain covering the UK with a resolution of about 5x6 km2. The model is evaluated using the UK Automatic Urban and Rural Network (AURN) monitoring stations (https://uk-air.defra.gov.uk/networks/network-info?view=aurn). R was used to access the AURN dataset to evaluate the EMEP4UK model output.

The data are processed from the full EMEP4UK model output to a subset containing essential variables only. The Climate Data Operators version 1.7.0rc8 was used to subset the model output.
Your use of the content of this dataset is entirely at your own risk. We make no warranty or guarantee that the content is error free or fit for your intended use.
DOI: 10.5285/d6c3cc3c-a7b7-48b2-9e61-d07454639656
title: Topsoil particle size distribution from the Glastir Monitoring and Evaluation Programme, Wales 2013-2016

description: This data set consists of Particle Size Distribution (PSD) measurements, analysed in a sub set of soil samples with a loss on ignition lower than 50%, taken from within a range of land use types across Wales, collected as part of the Glastir Monitoring and Evaluation Programme (GMEP).  Laser granulometry was used to measure the PSD.  The monitoring programme was set up by the Welsh Government in 2013 to monitor the effects of the Glastir agri-environment scheme on the environment and ran from 2013 to 2016.  The field survey element was based on a stratified random sampling design of 300, 1km square sites across Wales, and was managed by the UK Centre for Ecology & Hydrology.
description: Within each of 300 x 1km sample squares, a set of soil samples were taken from five pre-determined randomly dispersed locations (where practically possible). The soil sample analysed for soil metrics was taken using a black plastic core ('C-core'), 15cm long, from a location co-incident with vegetation surveys.

After collection, the soil cores were refrigerated and stored until posted, usually within a couple of days, to laboratories at the UK Centre for Ecology & Hydrology (UKCEH), Bangor. Analysed data were transferred to secure databases at UKCEH following sample analysis.

To ensure confidentiality of the data with respect to land owners and managers, the locations of 1km squares and survey sites were converted to the centres of the containing 10km Ordnance Survey grid squares.
DOI: 10.5285/43dc564c-2054-4e5a-950c-031d35521ebf
title: Invasion dynamics of Pinus radiata following fire occurrence in South-Central Chile

description: This dataset was constructed to characterise the invasion dynamics of Pinus radiata from seeds released from commercial plantations into surrounding areas, preferably those dominated by native species, in two situations: after the occurrence of forest fires and in the absence of them. Demographic data were collected concerning three key factors of the invasion process: 
  a) The seed source, in this case, the commercial plantation, where the age, tree density, cone production, and the proportion of cones that remained closed were recorded; 
  b) the characteristics of the habitat surrounding the plantation, as a receiving system for the seeds; this included an assessment of ground cover, understory cover, and canopy cover; and
  c) The natural regeneration of P. radiata was evaluated regarding its density, ages, heights, and the presence of cones. 

Information was collected in five geographic areas of Chile: in three of them we were able to establish six study sites per area (three burned and three unburned sites), but in two regions there were no register of recent fires, so only three unburned sites per area were established. Three transects were established in each study site. Fires occurred between 2010 and 2021, and data was collected between 2020 and 2021. 
description: In order to characterise the plantation, three squared 20x20 m plots were established under the plantation stand in each site. Plantation density (trees/ha) if possible, tree height (m) and serontinity level (percentage of open and closed cones related to total cones on each tree sampled on plantation canopy) was determined. Other data such as plantation year, and year of fire occurrence was collected from plantation owners. To register the number of open and closed cones, three trees were randomly selected at each site and two observers counted the number of cones still present in the canopy using binoculars for taller trees. Tree height was estimated using a hypsometer. 

On each sampling site, starting from plantation edge, three 2 m wide transects were established. Each transect was divided into 10 m long sections and went on for as long as possible (depending on the native patch size) and into a maximum of 100 m long sections, to characterise the first wave of invasion (sensu Richardson and Higgins (1998) originated from short distance dispersal (Figure 3). On each section, all P. radiata wilding trees were registered, together with the height of the tallest tree (m) and its age (years). 

To characterise the native patch neighbouring the commercial plantation, data was collected from the same three established transects. In each section the percentage of ground, understory and canopy cover was determined following Braun-Blanquet abundance-cover index. In this case, we used 5 categories, starting from 0 to 4.

There are some missing data regarding the commercial plantation (height, density), because in some cases no trees survived the fires.
DOI: 10.5285/790e507c-ce99-47ca-99b4-c97a684ee8c6
title: Numerical simulations of river bed dynamics for the South Saskatchewan River, Canada

description: 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
description: These files contain results from numerical simulations of river bed dynamics for a hypothetical sand-bed river modelled on the South Saskatchewan River, Canada. The aim of these simulations was to investigate the influence of changes in the representation of bed roughness and sediment transport on simulated river morphodynamics for large sand-bed rivers like the South Saskatchewan. Simulations were carried out using a 2D depth-averaged numerical model that solves the shallow water equations, coupled with equations for sediment transport and bed level change (i.e. resulting from sediment mass conservation). Results are provided for two simulations (A and B). Simulation A used a van Rijn sediment transport formulation and depth-dependent Chezy roughness law. Simulation B used an Engelund-Hanson sediment transport formulation and constant (depth-independent) Chezy roughness. In both simulations, the model was initialized with a flat bed and using banklines that were digitized for an 8 km reach of the South Saskatchewan River, Canada located immediately downstream of the town of Outlook, Saskatchewan. The model domain measures 800 cells (downstream) by 300 cells (cross-stream). Cell dimensions are 10 m (downstream) by 5 m (cross-stream). Simulations were run for 28 years using an inlet hydrograph based on gauged flow conditions for the South Saskatchewan River.

Files are named Simulation_A_ #.csv, Simulation_B_ #.csv

The # represents the results file number, where each number corresponds to a time slice in the model simulation (1 being the earliest and 56 being the latest). Simulations represent a duration of 28 years, with two time slices per year. Odd-numbered time slices represent low flow conditions and even-numbered time slices represent high flow conditions.
DOI: 10.5285/16f52064-a19d-4cf5-a388-aff04a592179
title: Sediment trap diatom assemblages from Rostherne Mere, Cheshire, UK (2004-2017)

description: This dataset includes sediment trap diatom captures and water column temperature profiles from a PhD research project at Rostherne Mere in Cheshire. These data were collected to show the relationship between climate, especially short-term climatic perturbations, and diatom assemblages. The sediment trap data cover the period from October 2004 to January 2017, while the thermal profiles cover October 2005 to December 2016. Diatom data is presented with date, percentage taxa abundance and diatom fluxes based on total sediment yield. Temperature profiles are presented as mean daily figures. The work was carried out as part of a Natural Environment Research Council (NERC) funded PhD [grant number NE/L002493/1], with the temperature data funded by the UKLEON (UK Lake Ecological Observatory Network) project via a NERC small grant [grant number NE/I007261/1].
description: Sediment trapping using open traps and sequencing traps was carried out at Rostherne Mere from January 2004 to January 2017. Traps were deployed in a central lake location at 10 m and 25 m water depths, sequentially opening into 12 individual 250 ml HDPE bottles, each representing a ~2 week collection period (in January and February longer collection periods of 3-4 weeks were used). The traps were reset every ~6 months as dictated by the trapping interval used, with trap sediment kept cool, dark and sealed during transport to the laboratory where it was stored frozen prior to analysis. All trap samples were freeze-dried prior to analysis and weighed for total trap sample dry sediment flux.
DOI: 10.5285/268cab8c-459c-4bf8-9b90-838c4d18efb2
title: Survival and persistence of clinically relevant E. coli on plastic waste under simulated environmental conditions

description: This dataset contains information relating to the survival and persistence of clinically relevant strains of E. coli on plastic and cotton, under environmentally relevant conditions. The data encompass bacterial strain identity, material type, timepoints (days), bacterial concentration (CFU/ml) and survival percentages. Data were sampled over a 28-day period using culture-based approaches; and the ability of isolates to cause disease following their recovery was determined through the use of a Galleria mellonella model.

This work was supported by the UKRI Natural Environment Research Council (NERC) as part of the GCRF SPACES project [grant number NE/V005847/1] and the Plastic Vectors project, “Microbial hitch-hikers of marine plastics: the survival, persistence & ecology of microbial communities in the ‘Plastisphere’” [grant number NE/S005196/1].
description: Biofilm formation, persistence and pathogenicity of E. coli were investigated through controlled laboratory experiments. Biofilms were generated on various materials in nutrient-rich and surface water environments, quantified using crystal violet staining, and analysed in triplicate. Persistence was assessed by recovering E. coli from biofilms over 28 days, followed by serial dilution, and selective plating.

Pathogenicity was evaluated using Galleria mellonella larvae, with standardised inoculation protocols and survival monitoring for 72 hours. Data underwent thorough validation at each stage, including replication, and selective media confirmation, ensuring high reliability and accuracy before submission.