This dataset details the paternity of progeny from Eschscholzia californica plants introduced to habitats comprising different floral cover. Data was collected in June 2015 at the Hillesden estate, Buckinghamshire, UK. Plants were genotyped at seven microsatellite markers before being introduced across the study site to form experimental arrays. Experimental arrays comprised of three E.californica plants separated by 1m and arranged in a triangular formation. A total of sixteen arrays were introduced across four 100 hectare replicate blocks, each separated by >500m. At the centre of each block, four experimental arrays were placed at 50m intervals along a 150m transect laid symmetrically across the boundary between an established wildflower patch and bare, fallow ground or grazed grassland (two arrays within the florally rich habitat and two arrays within the florally poor habitat). Upon maturation approximately 10 seeds were collected from each plant and genotyped. Fragment analysis was conducted and alleles were scored on Genemarker. Seeds were then manually scored as outcrossed or selfed and paternity was determined using Cervus. The dataset was part of a larger experiment looking at the effect of floral resources on the pollination services to isolated plants. Full details about this dataset can be found at https://doi.org/10.5285/7b721c07-bc38-4815-8669-4675867663d0

This dataset includes manual measurements in centimetres from the surface of the soil of water table depth at the Climoor fieldsite in the Clocaenog Forest, north-east Wales. Water table depth was collected via water permeable tubes installed through the soil profile down to bedrock. Measurements were taken, usually every two weeks, using a tape measure and head torch to assist in seeing the water level in the tube. Data was collected by CEH staff and PhD students trained in the use of the methods. Climoor is a climate change manipulation experiment that utilises automated roof technology to produce drought and warming experimental treatments that reflect climate change predictions for the next 20-30 years. Data are available from May 2009 to March 2015. Full details about this dataset can be found at https://doi.org/10.5285/029c060d-a061-4e27-96ff-c0826351e7e3

The data set describes the effects of three neonicotinoid seed treatments (clothianidin, thiamethoxam and a control) applied to winter sown oilseed rape in Hungary, Germany and the UK on honeybees (Apis mellifera). The data describes population responses in terms of European Food Safety Authority (EFSA) primary (colony strength and overwintering success) and secondary assessment endpoints for the response of honeybees to exposure to the neonicotinoids. Information on expression of neonicotinoids in the pollen and nectar from the crop or collected by bees is also included, as well as details of honeybee diseases and foraging preferences. This research was undertaken by the Centre for Ecology & Hydrology in 2015 and was funded by Syngenta Ltd. and Bayer CropScience. Full details about this dataset can be found at https://doi.org/10.5285/eac530fe-54ad-4570-83d3-c59e70c0af9d

[THIS DATASET HAS BEEN WITHDRAWN]. Fine Grain Vegetation data from the UK Environmental Change Network (ECN) terrestrial sites. These data are collected at all of ECN's terrestrial sites using a standard protocol (see supporting documentation). In this protocol, 10m x 10m plots are randomly selected within each vegetation type on the site - species presence is recorded in 40cm x 40 cm cells randomly selected within these plots. They represent continuous records every three years (some sites record data annually) from 1992 to 2012. ECN is the UK's long-term environmental monitoring programme. It is a multi-agency programme sponsored by a consortium of fourteen government departments and agencies. These organisations contribute to the programme through funding either site monitoring and/or network co-ordination activities. These organisations are: Agri-Food and Biosciences Institute, Biotechnology and Biological Sciences Research Council, Cyfoeth Naturiol Cymru - Natural Resources Wales, Defence Science & Technology Laboratory, Department for Environment, Food and Rural Affairs, Environment Agency, Forestry Commission, Llywodraeth Cymru - Welsh Government, Natural England, Natural Environment Research Council, Northern Ireland Environment Agency, Scottish Environment Protection Agency, Scottish Government and Scottish Natural Heritage. Full details about this dataset can be found at https://doi.org/10.5285/5a1efdfc-8f51-4ee9-9ed4-677bddd3f135

The meteorological data describes the air and soil temperatures, net radiation balance, down-welling photosynthetically active radiation, wind speed, wind direction and the vapour pressure deficit. Data collection was carried out at Cartmel Sands marsh from the 31st of May 2013 till the 26th of January 2015. The Cartmel Sands site is in Morecambe, North West England, and the meteorological tower was situated in the middle of the marsh. This data was collected as part of Coastal Biodiversity and Ecosystem Service Sustainability (CBESS): NE/J015644/1. The project was funded with support from the Biodiversity and Ecosystem Service Sustainability (BESS) programme. BESS is a six-year programme (2011-2017) funded by the UK Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) as part of the UK's Living with Environmental Change (LWEC) programme. Full details about this dataset can be found at https://doi.org/10.5285/b1e2fb9c-8c34-490a-b6ae-2fdf6b460726

This dataset contains data on insects observed visiting flowers of three crops (apples, field beans and oilseed rape) and responses by recorders to a questionnaire asking about their experience carrying out pollinator surveys. Data from thirteen flowering crop fields was collected by teams based at the University of Reading and the James Hutton Institute in Scotland. Data was collected by different recorders, some of whom were novice data collectors, experienced researchers or farmers and agronomists. Recorders were asked to implement three methods: pan trapping, transect walking and/or hand pollination and plant bagging. Transects involved walking a 50m transect recording floral visitors to crop flowers within a 1m squared moving observation widow next to the recorder. Pan trapping involved placing out three coloured water trap arrays along a 50m transect and then recording what flying insects were caught in the water traps at the end of the survey. Hand pollination and plant bagging involved putting mesh bags over flowers to exclude visitation by insects, hand pollinating crop flowers and counting and marking flowers with cable ties. Data were collected between April and July 2015 from sites across the UK. Full details about this dataset can be found at https://doi.org/10.5285/5822900b-3af4-4bb9-a2d6-0b5d384e2a3c

This dataset contains seed counts of Eschscholzia californica plants introduced to form experimental arrays within habitats comprising different floral cover. Data was collected in June 2015 at the Hillesden estate, Buckinghamshire, UK. Experimental arrays comprised of three E.californica plants separated by 1m and arranged in a triangular formation. A total of sixteen arrays were introduced across four 100 hectare replicate blocks, each separated by >500m. At the centre of each block, four experimental arrays were placed at 50m intervals along a 150m transect laid symmetrically across the boundary between an established wildflower patch and bare, fallow ground or grazed grassland (two arrays within the florally rich habitat and two arrays within the florally poor habitat). On each plant, the seed set was measured for flowers which were exposed and excluded from pollinators to determine the effects of habitat context on plant reproduction. The dataset was part of a larger experiment looking at the effect of floral resources on the pollination services to isolated plants. Full details about this dataset can be found at https://doi.org/10.5285/5b400b69-b828-45e8-b04e-7ccbfdb0987f

This dataset contains data on the movement of the seabird tick, Ixodes uriae, in an artificial arena. 24 adult female and 24 nymphal I. uriae were collected on the Isle of May, Scotland on the 25th-27th March 2014 and 18th July 2013 respectively. Nymphal ticks were taken from boiler suits worn by field workers, and adult female ticks were taken from cracks in the rock face. They were then transported to a laboratory where they were individually placed in an artificial arena, composed of a single A1 piece of paper and 30 cm high walls. Straight line distances moved were then measured at fixed time intervals. This work was part of a NERC-funded PhD project looking at interactions between avian colonial social structure and tick-borne pathogen dynamics. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/aec8b5b2-642b-41ae-8c30-36a4388411cb

Underground extraction of minerals and rocks has taken place in Great Britain for more than 5000 years. The dataset draws together a range of diverse information; the geology, the primary constraint on distribution; additional information sourced from published literature and knowledge from BGS experts. Areas of known underground mining are identified with an indication of the level of hazard associated for each site. The presence of former underground workings, particularly where shallow, may collapse, causing surface settlement or subsidence. The type of material mined, age and extent of working (where known) is used to assess and classify the hazard at each site. The value is based on an A (mining is not known to have occurred) to E (evidence of extensive underground mining is known) scale. Mining Hazard (not including coal) covers areas of known underground working in Great Britain. The coverage is not comprehensive as areas with no evidence of underground working are not included in the data. The dataset was created to provide a comprehensive overview of Great Britain's long and complicated mining legacy. It provides essential information for planners and developers working in areas where former underground mine workings may have occurred. Also for anyone involved in the ownership or management of property, including developers, householders and local government.

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