This data set consists of measurements of areas of landscape features and associated attributes from sites across Wales, collected between 2013 and 2016. Data are presented as areas of Broad (or Priority) Habitats, with associated landscape attributes (such as plant species and land use), within a set of 300 x 1km squares across Wales, collected as part of the Glastir Monitoring and Evaluation Programme (GMEP). 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 x 1km square sites across Wales, and was managed by the UK Centre for Ecology & Hydrology. Full details about this dataset can be found at https://doi.org/10.5285/82c63533-529e-47b9-8e78-51b27028cc7f

This dataset contains measures of laboratory soil incubation respiration rates from permafrost in subarctic Canada. Samples from soil cores were incubated in the laboratory to quantify CO2 and CH4 gas production rates at two different temperatures under both anoxic and oxic incubations. Soil cores were sampled from a peatland plateau and a thawing feature of the peatland plateau and from a unburnt and a burnt black spruce forest, and also additional sites in Yukon. Full details about this dataset can be found at https://doi.org/10.5285/0c79defa-d762-4ad1-a714-02e177d8e690

The data consists of plant structural plant community measurements from fifteen sites located in the Conwy catchment (North Wales) and from two sites in North West England. Annual aboveground net primary productivity (NPP), canopy height (cht), bryophyte cover (Bcov), leaf dry matter content (LDMC), leaf mass area (LMA) and specific leaf area (SLA) were measured on the dominant plant species. Data were collected in 2013 and 2014. The sites were chosen to represent habitat types and the terrestrial productivity gradient in Britain from intensive agriculturally managed lowland grasslands through to montane heath. Plots within the sites were located using a stratified random sampling design. Plant trait values were taken from existing published databases or were directly measured in each plot for the two species contributing the highest percentage cover. NPP (grams of dry mass per square metre per year) was measured using a variety of methods according to the plant functional types present. SLA and LDMC was measured on site focussing on the dominant vascular plant species in each plot defined as the two species contributing maximum standing biomass in the year of sampling. Leaf area was calculated based on scanned photographs analysed using Image J software v1.46r. Plant parameters were tested across a land use intensification gradient to detect parameters that can predict aboveground biomass production across different land management types. Data were used to enhance the predictions of biomass production in the Joint UK Land Environment Simulator model (JULES). Measurements informed the improvement of the nitrogen cycle component in the model. Measurements were undertaken by trained members of staff from Bangor University, the Centre for Ecology & Hydrology and Exeter University. This data was collected for the NERC project - The Multi-Scale Response of Water quality, Biodiversity and Carbon Sequestration to Coupled Macronutrient Cycling from Source to Sea (NE/J011991/1). The project is also referred to as Turf2Surf. Full details about this dataset can be found at https://doi.org/10.5285/8899768c-cc5a-4885-a88b-c08374ee568e

This data set describes the prevalence of trypanosomes and Sodalis glossinidius, and host blood meal analysis from tsetse flies (Glossina morsitans morsitans) captured during two intensive surveys in Mambwe District, Eastern Province, Zambia in 2013. The Luangwa Valley in Zambia is an old focus of human African trypanosomiasis (HAT, Trypanosoma brucei rhodesiense) and sporadic outbreaks have continued to occur in the human population. In recent years there has been an influx of people migrating from the densely populated plateau region resulting in a significant change in land-use in the study area, potentially influencing tsetse dynamics and the epidemiology of HAT. This data set was collected to monitor infection rates of trypanosomes and Sodalis glossinidius in Glossina morsitans morsitans tsetse flies in the area so as to assess the risk posed to both human and livestock populations. In addition, feeding patterns of tsetse were investigated through analysis of blood meals. This work was part of a wider research project, the Dynamic Drivers of Disease in Africa Consortium (DDDAC) and contributed to the Zambia trypanosomiasis case study. The research was funded by NERC project no NE/J000701/1 with support from the Ecosystem Services for Poverty Alleviation Programme (ESPA). Full details about this dataset can be found at https://doi.org/10.5285/a55eea77-8401-49ba-921e-53e085dc8345

This data set consists of measurements of lengths of linear landscape features and associated attributes from sites across Wales, collected between 2013 and 2016. Data are presented as lengths of features such as hedges ('woody linear features'), fences, walls, banks and streams, with associated species and condition measures where applicable. Features were surveyed within a set of up to 300 x 1km squares across Wales (not all sites contained linear features), collected as part of the Glastir Monitoring and Evaluation Programme (GMEP). 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 x 1km square sites across Wales, and was managed by the Centre for Ecology & Hydrology. Full details about this dataset can be found at https://doi.org/10.5285/f481c6bf-5774-4df8-8776-c4d7bf059d40

This dataset consists of autotrophic and heterotrophic soil respiration fluxes from peatland plateaus and thawing peatland plateaus and from burnt and unburnt forests from permafrost in subarctic Canada. Autotrophic and heterotrophic soil respiration fluxes (CO2) were monitored during summer in 2013 and 2014 in Yukon and Northwest Territories. Monitored sites included peatland plateaus, unburnt and burnt black spruce forests, and additional sites. Full details about this dataset can be found at https://doi.org/10.5285/061ba64c-d581-409b-b5af-009e5cabf0ce

Fifteen minute river stage height for 6 river monitoring stations within the Conwy catchment, North Wales are presented for the period 2013 to 2016. At one site (Cwm Llanerch) site the water temperature was also sampled. At all sites, the mean water height in millimetres (mm) is measured using a pressure transducer installed at an arbitrary level and recorded onto data loggers every 15 minutes. The data were collected to estimate flow in the 6 rivers. The data was collected by CEH staff members for the NERC project "The Multi-Scale Response of Water quality, Biodiversity and C Sequestration to Coupled Macronutrient Cycling from Source to Sea" (NE/J011991/1). Note: there are gaps in this data set due to equipment/battery or system failures. Full details about this dataset can be found at https://doi.org/10.5285/79de7b6e-93c2-45d3-b11d-de156dc4fefc

This datasets contains measures of soil thaw depth from permafrost in subarctic Canada. Soil thaw depth was measured in 2013 and 2014 in sites from Yukon and Northwest Territories. Full details about this dataset can be found at https://doi.org/10.5285/fb88febb-9b53-4253-9856-7b35cbdf7080

Estimated species richness data for valuation of biodiversity across the UK, based on species occurrence records for 11 taxonomic groups (Bees, Birds, Bryophytes, Butterflies, Carabidae, Hoverflies, Isopoda, Ladybirds, Moths, Orthoptera and Vascular plants). UK species occurrence data were collated from the Biological Records Centre (BRC) and the British Trust for Ornithology (BTO). Estimated species richness was calculated across all taxonomic groups for two time periods: 1970-1990 and 2000-2013. The dataset was used to create the "UK ecological status map version 2". Full details about this dataset can be found at https://doi.org/10.5285/6c535793-034d-4c4f-8a00-497315e7d689

The data comprise of four datasets for Spring wheat (Triticum aestivum L., cv. Mulika) from a season-long ozone exposure experiment in mesocosms: i) Yield and biomass data (including harvest index and individual grain weight) gathered at the end of the experiment; ii) measurements of chlorophyll content index (CCI) measured ad-hoc using a Soil-Plant Analyses Development (SPAD) chlorophyll meter throughout the experiment across all treatments; iii) measurements of leaf stomatal conductance, measured ad-hoc using a porometer throughout the experiment across all treatments; iv) results from four growth stage assessments conducted at different stages of the experiment. Yield and Biomass data are dry weights of non-edge plants, with a cutting height of 5cm above soil level. Leaf chlorophyll and stomatal conductance data were measured on the most recently fully expanded leaf (flag leaf from 28th May 2015 onwards) of randomly selected non-edge plants. The data are from an ozone and drought exposure experiment conducted during April-August 2015 at the Centre for Ecology & Hydrology Bangor solardome facility near Abergwyngregyn (Latitude 53.2387, Longitude -4.0176). The objective of the experiment was to determine how two abiotic stressors in combination - ozone and drought - would interact to influence growth and yield of wheat, and also what impact the timing of drought would have on the result. Spring wheat (Triticum aestivum L., cv. Mulika) was grown in rows within large 25-litre pots, and exposed to eight ozone treatments for 82 days. Plants experienced either (i) a well-watered regime (ii) a 10-day early-season drought event or (iii) a 10-day late-season drought event. The eight Ozone (O3) treatments ranged from a 24-hour mean of 27 parts per billion (ppb) in the lowest treatment to 57 ppb in the highest, with daily peaks ranging from 32 to 115 ppb This work was carried out as part of a Ph.D. funded by the Natural Environment Research Council (NERC) (NERC Reference NEC05014/3328/988) Full details about this dataset can be found at https://doi.org/10.5285/9678f446-0e2f-4f9c-860a-cbedfce4c7ec