[This dataset is embargoed until October 1, 2026]. This dataset reports concentrations of six antibiotics—oxytetracycline, ciprofloxacin, enrofloxacin, sulfamethazine, ofloxacin, and norfloxacin—measured in surface water and wastewater from two catchments in India: Dera Bassi (Punjab) and Bhiwadi (Rajasthan). Samples were collected at four time points between May 2022 and June 2023 from the River Ghaggar and wastewater effluent sites. Full details about this dataset can be found at https://doi.org/10.5285/1a4588b8-7145-49ce-8bd5-0895d385932d

Data are presented from an ozone exposure experiment performed on five African crops. The crops (Beans, cowpea, finger millet, pearl millet and wheat) were exposed to three different levels of ozone in the UK CEH Bangor solardomes. Wheat was grown at UK ambient temperature, whereas the solardomes were heated for the other crops to better mimic tropical conditions. The experiment ran from May 2017 to September 2017. The crop plants were grown from seed in pots in solardomes. The aim of the experiment was to investigate the impact of ozone exposure on the crop yield and plant health. The dataset comprises of manually collected data on plant physiology, biomass and yield. In addition the automatically logged data of ozone concentration and meteorological variables in the solardomes are presented. Plant physiology data is stomatal conductance of individual leaves, measured on an ad-hoc basis. The dataset includes the associated data measured by the equipment (relative humidity, leaf temperature, photosynthetically active radiation). Soil moisture of the pots was always measured at the same time, and chlorophyll content of the measured leaf was usually, but not always, determined at the same time. Yield was determined for each plant, in addition to yield-related metrics including mass per bean and 100 grain weight. For finger millet and pearl millet yield is expressed as weight of seed heads and number of seed heads, rather than explicitly as seed weight. The ozone and meteorological dataset is complete, but with some gap-filling for short periods when the computer was not logging data. The work was carried out as part of the NERC funded SUNRISE project (NE/R000131/1). Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/f38beff1-993f-4785-8a97-1de21e3e19c0

Estimates of annual loads of phosphorus, sediment, nitrogen and faecal coliform from non-agricultural sources to rivers in Scotland, reported at Water Framework Directive (WFD) catchment scale. The sources of pollutants include: urban, woodland, montane areas, river bank erosion, septic tanks and sewage treatment works. Loads are estimated based upon available data (e.g. septic tank licences) and modelling (bank erosion). The values specify phosphorous, nitrogen or sediment losses in kilograms per year and faecal coliform in 10^6 colony forming units (cfu) per year. Full details about this dataset can be found at https://doi.org/10.5285/eb73ca31-7eb9-479c-96be-6063e29c8a7f

This data describes the recovering and isolation processes of Bacteroides spp. strains from human and cattle faecal sources from rural areas in Siaya County (Kenya), and occurred between 7th and 28th of June 2018. The data also includes the detection of bacteriophages (infecting these Bacteroides spp. host strains) in conjunction with traditional faecal indicator organisms in water sources from Kisumu and Siaya County (Kenya) occurring between June 18th 2018 and June 13th 2019. Exact location (coordinates) of the sample points are also described in the data set. A microbiological technique using Bile Esculin Bacteroides (BBE) agar was used for the recovering and isolation processes of Bacteroides spp. strains. Standard ISO (7899-2, 9308-1, 10705-2 and 10705-4) techniques, such as membrane filtration and the double-agar-layer methods, were used for the detection of bacteriophages and traditional faecal indicator organisms. The purpose of data collection was to develop new markers that could identify cattle and/or human sources of faecal contamination, which could be used as part of a Microbial Source Tracking (MST) tool box. Technicians and researchers from the University of Brighton (UK), University of Southampton (UK), from the Victoria Institute for Research on Environment and Development (VIRED) (KE) and from the Kenya Medical Research Institute (KEMRI) (KE) were responsible for the collection and interpretation of data. Full details about this dataset can be found at https://doi.org/10.5285/02c8a6b0-e59e-4278-b9a2-9958cd5a2c3c

The data comprise water quality measurements taken from streams and rivers in the Conwy catchment and its estuary from March 2013 to October 2016. Depending on water type and sampling location the data consist of concentrations of major cations and anions, pH, conductivity, alkalinity, suspended material and coliforms. Samples were collected manually or by automatic sampler. Analysis was carried out at the Centre for Ecology & Hydrology (CEH) Bangor, CEH Lancaster and Bangor University laboratories. The data were collected provide information on the relationship between stream water quality, primarily macronutrient concentrations, and catchment and hydrological characteristics. The data are used to drive a catchment scale water quality model, and to investigate nutrient ratios and limitation with respect to land cover and management. All sampling and analysis was carried out by trained members of staff from the Centre for Ecology & Hydrology and Bangor University. This data was assembled under the NERC project 'The Multi-Scale Response of Water quality, Biodiversity and Carbon Sequestration to Coupled Macronutrient Cycling from Source to Sea' (Turf2Surf). Full details about this dataset can be found at https://doi.org/10.5285/32392c33-8cbe-434a-a582-ab8425a5062c

The following dataset contains information on saplings of woody plant species in invaded subtropical mountain forests (Yungas) over three years. The forests were located in the Horco Molle Experimental Reserve and Parque Sierra de San Javier, Tucumán, Argentina. The data was collected as part of an experiment to investigate the impact of management control on the invasion of non-native species such as Ligustrum lucidum, and other less abundant non-native species, on the dynamics of the woody community. The experiment was conducted between June 2020 and November 2023. This work was carried out as part of NERC grant NE/S011641/1 “Optimising the long-term management of invasive species affecting biodiversity and the rural economy using adaptive management”. Full details about this dataset can be found at https://doi.org/10.5285/4311fa93-fdcc-43bd-bb2e-185118c06ed7

This dataset describes 35 years of 6-monthly population sampling of adult and juvenile bank voles Myodes glareolus and wood mice Apodemus sylvaticus in a Derbyshire Ash Fraxinus excelsior woodland, together with annual and seasonal ash fruit-fall and a measure of winter severity. Additional data describe a 4 year experiment on a nearby study area where in two winters supplementary ash fruit were supplied and population data collected in parallel to the main study area. Woodland small mammal population dynamics are commonly influenced by variable food supplies (due to masting), climate and population density. However, the effects of precise environmental variables are poorly understood. To explain between-year variations in bank vole and wood mouse reproductive/population growth rates, we applied a state-space model to 33 years of live-trapping data. Experimental additions of ash fruit in winter aided interpretation. Full details about this dataset can be found at https://doi.org/10.5285/80ee4e00-7301-4c40-9dba-12dd0d21b7c7

This dataset consists of measures of topsoil (0-15 cm) physico-chemical properties from soils sampled from 110 x 1-km squares across Great Britain in 2022 as part of a rolling soil and vegetation monitoring program of 500 1-km squares repeated every 5 years. The properties included are: pH, soil organic matter (loss on ignition, LOI), derived carbon concentration and carbon stock (SOC), soil group, soil bulk density of fine earth, soil moisture of wet soil, fine earth volumetric water content (dry), nitrogen concentration and stock, and Olsen-phosphorus concentration. The UKCEH Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 by the UK Centre for Ecology & Hydrology (UKCEH) and predecessors, with repeated visits to most of the squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way, we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to soil data, vegetation species data are also gathered by the current phase of the UKCEH Countryside Survey. 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/d53fdf1d-767a-4046-821a-ea645001ddd3

These data include greenhouse gas concentrations and physio-chemical water properties for the Clyde estuary in Scotland to support understanding of the GHG sources and sinks and their associated mechanisms in a highly stratified, temperate urban estuary. These measurements look at the changes in GHG along the Clyde estuary taking measurements from land to sea down the estuary on the ebb tide at both the surface and bed so the impact of location, river flow, wastewater treatment outflows and stratifications can be understood. Full details about this dataset can be found at https://doi.org/10.5285/a22b495e-b2cd-43cd-95b7-8712b64dc0da