These data consist of stream water chemistry for selected Welsh upland rivers. The sampling sites were located in sixty one small and medium catchments. Catchments were chosen from the Welsh Acid Water Surveys (WAWS) program (41 sites) and the Wye catchment (20 sites). Results for pH, alkalinity, conductivity and major cation and anion measurements are presented for the WAWS catchments. Results for pH, alkalinity, conductivity and major anion measurements are presented for the Wye catchment. Samples from the Wye catchment were collected in May 2012. Samples from the WAWS catchments were taken during the summer and autumn of 2012 and spring and summer of 2013. The data were collected to characterise water chemistry variation along a gradient of aquatic biodiversity associated with different environmental settings for example land-use intensify and recovery from acidification. Dr Isabelle Durance was responsible for organising the surveys, Dr Hugh Feeley was in charge of collecting and preserving the water samples. Analysis of the water samples was carried out at the Forest Research Laboratories. The work was carried out under Diversity in Upland Rivers for Ecosystem Service Sustainability (DURESS) project (Grant reference NERC NE/J014818/1). DURESS was a project funded by the Natural Environment Research Council (NERC) Biodiversity and Ecosystem Service Sustainability (BESS) programme. Full details about this dataset can be found at https://doi.org/10.5285/d329ca18-c3d8-49f0-b2fd-5243d76dc650

The dataset contains monitoring data for plants (surveyed using quadrats), sward insects (surveyed using suction samplers), insect pollinators (surveyed using transects) and sward structure (surveyed using drop disk height) across 60 calcareous grassland restoration sites from southern England and a further six wildcard sites made up of ancient grasslands and rewilding sites in 2021. Information on site management during the sampling year are also included as well as the historic age of the restoration site. Data were collected with the goal of understanding changes in the complexity of plant and invertebrate communities during grasslands restoration with a focus on the effects of duration of restoration. Full details about this dataset can be found at https://doi.org/10.5285/552977d4-b9aa-4932-a055-5ea3bdf16d56

This GeoTiff presents the results of multi-beam sonar scans of the bed of the Solimoes River (upper Amazon) collected in early October 2022 upstream of Tefe, Brazil. These scans were collected as part of our study of the characteristics of the river banks and bed, an investigation of controls on channel mobility (results were published in Bruckner, Aalto, et al., 2024, Geology v.52 (7), 533-538). It can be viewed as a simple TIF file in a photo viewer, or it can be imported into a GIS system for located display (and access to metadata). Full details about this dataset can be found at https://doi.org/10.5285/d589f56c-ec0a-4340-9718-f594b032a10d

Data presented here include imagery with ground-sampling distances of 3 cm and 7 cm for March 2019, May 2019 and July 2019. Also included are the corresponding ground-truth training and verification data presented as shapefiles, as well as the classification output and other data relevant to the project such as the width of floral units. The imagery was acquired by Spectrum Aviation using A6D-100c (50mm) Hasselblad cameras with bayer filters, mounted on a Sky Arrow 650 manned aircraft. Ground-truth data for training maximum likelihood classifications and for verifying the accuracy of classifications were gathered within eight days of imagery acquisition. Ground-truth data were acquired from sown field margins and hedgerow surrounding one study field. This dataset was acquired from March to July 2019 at a farm in Northamptonshire, UK. Data were acquired as part of a NERC funded iCASE PhD studentship (NERC grant NE/N014472/1) based at the University of East Anglia and in collaboration with Hutchinsons Ltd. The aim of the research was to map the floral units of five nectar-rich flowering plant species using very high resolution multispectral imagery. Each species constitutes an important food resource for pollinators. The plant species in question were Prunus spinosa, Crataegus monogyna, Silene dioica, Centaurea nigra and Rubus fruticosus. Full details about this dataset can be found at https://doi.org/10.5285/cf68be0c-e969-4190-8ec6-abeedb51b42c

This dataset includes a description of the flora on Somerford Mead, Oxford for the period 1987 to 2014. During the period 1991 to 2014, a grazing experiment was conducted on the meadow, in which individual plots were either grazed by sheep, grazed by cattle or left ungrazed following the annual hay cut. The data consist of list of all plant species found at sample locations within each plot together with an estimate of abundance. Full details about this dataset can be found at https://doi.org/10.5285/691a823c-d1da-4420-837c-3c30ce83818b

The data consist of observations of cover of plant species in permanent quadrats in a nitrogen deposition experiment on a peat bog. The experiment was located at Whim Moss in central Scotland, between 2002 and 2016. Recording of cover was by visual assessment in 40 x 40 cm quadrats. The experiment was designed to look at the change in vegetation composition with different rates of deposition of nitrogen in different forms (ammonia, ammonium, and nitrate). 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/10.5285/65ecd65f-e518-4cf5-85bf-7d93e66fdb96

These data are benthic organic matter stocks of coarse and fine particulate organic matter in eight Welsh upland rivers with contrasting land-use, moorland and exotic conifer, in response to riparian deciduous leaf addition. Eight sampling reaches were chosen at two sites, Llyn Brianne (4 reaches) and Plynlimon (4 reaches). The experiment consisted of adding deciduous leaves to half of the reaches whilst the other half were maintained as a control (no addition of deciduous leaves). To characterise the benthic organic matter of the studied streams, a Surber net was used to collect monthly samples during 2013 on January (before deciduous leaf addition) and from February to April (after deciduous leaf addition) in each sampling reach. The main goal of this survey was to examine how aquatic biodiversity and organic matter stocks respond to leaf addition in moorland and conifer forested rivers. Dr Isabelle Durance was responsible of organising the surveys, Marian Pye was in charge of collecting, processing and sorting the samples. The work was carried out under Diversity in Upland Rivers for Ecosystem Service Sustainability (DURESS) project (Grant reference NERC NE/J014818/1). DURESS was a project funded by the Natural Environment Research Council (NERC) Biodiversity and Ecosystem Service Sustainability (BESS) programme. Full details about this dataset can be found at https://doi.org/10.5285/32eaf811-be10-40cb-9794-7c5a1b97a915

This data product combines macroinvertebrate taxonomic abundance for 1,519 monitoring sites across English rivers for the period between 1965 and 2018, with matched concentrations of 41 water quality determinands, river flow exceedance statistics, and air temperature values. It also includes site variables such as sewage effluent exposure, habitat quality, land cover in the upstream catchment, and other physical parameters measured at the sampling point, such as altitude, slope, distance from source, width and depth of the channel, and type of substrate. Developed as part of the ChemPop (2018-2023), a NERC-funded project investigating the impact of chemical exposure on wildlife populations in rivers, this research output is an open data product for use in a broad spectrum of environmental data and modelling analyses. Full details about this dataset can be found at https://doi.org/10.5285/23f194b0-1e21-4f14-be9c-6eabdcc1feb7

The UK Centre for Ecology and Hydrology gathered a range of ecological data between 2000 and 2004. The data include vegetation, farm management and habitat information, collected from 89 pairs of organic and non-organic fields on 161 farms containing arable crops distributed throughout England. Within these farms, landscape context and farm management practices centred on 30 pairs of target spring cereal fields (in 2000) and 59 pairs of target winter wheat fields (over two seasons 2002-2004). Data were derived at different scales ranging from field to landscape scale using a range of methods. The vegetation data consists of plant records from within target fields which were sampled in 3 years (2000, 2002, 2003) with each field sampled in one of the years. Three plot types were used. (i) Crop margin plots which recorded species presence in plots extending 1 m from the ploughed edge and 100 m along the field edge. (ii) Field boundary plots which recorded presence and abundance (% cover) of species in plots extending 1 m from the centre of the uncultivated field boundary and 10 m parallel to the boundary. Berries were counted in winter from a sub-set of sites. (iii) Percent cover of within-crop plants was recorded in 0.5×0.5 m quadrats placed at distances of 2, 4, 8, 16 and 32 m from the ploughed margin on 12 transects per field. Farm management data were collected via land manager questionnaires. Farmers were asked 40 questions concerning management of the target field and the whole farm. Habitat data were summarised at the farm level from the satellite-derived UKCEH Land Cover Map 2000. Invertebrates and birds were also sampled but do not form part of this data set. The study was based on a total of 88 non-organic and 73 organic farms over three cropping seasons between 2000 and 2004. This dataset was created to investigate the benefits of organic farming for biodiversity as part of a DEFRA funded study. Full details about this dataset can be found at https://doi.org/10.5285/aa86a268-559c-4f54-8e52-6292ad7901f4

[This dataset is embargoed until October 31, 2026]. This dataset contains vascular plant data recorded from 25 m2 plots in calcareous, neutral or improved grassland habitats and associated questionnaire data on the functionality of the e-Surveyor mobile application used to capture the data. All data were recorded at workshops in Central and Southern England, during June-August 2024. The 51 surveys were recorded by 37 different volunteer participants using the habitat survey function within e-Surveyor and by 2-3 professional expert botanists that worked independently to collect a full plant inventory list. The dataset also contains questionnaire data about participant's experience using the application, which was collected at each workshop directly after the plant survey. Full details about this dataset can be found at https://doi.org/10.5285/33caba6a-6547-4740-9cd5-aa787b7c418e