Creation year

2015

703 record(s)

 

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Essential Climate Variables

Geophysical Quantities

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From 1 - 10 / 703

  • 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 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 details the number of seeds produced by pollinator exposed and supplemented Eschscholzia californica plants introduced to habitats comprising different floral cover. Data was collected in June 2015 at the Hillesden estate, Buckinghamshire, UK. Experimental arrays were introduced across the study site. 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 100ha 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). After 16 days plants were collected in and one flower from each plant was supplemented with outcrossed pollen. Upon fruit maturation the mean number of seeds counted from pollinator exposed fruit were then compared to the number of seeds from supplemented fruit to determine the degree of pollen limitation in relation to habitat context. 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/10.5285/8caf2d8a-564d-4f2e-a797-174165a83796

  • The dataset comprises of dry weight root biomass data collected from 0 cm to 10 cm, 10 cm to 20 cm and 20 cm to 30 cm soil depths from six salt marsh sites. Three of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East England. The Morecambe Bay samples were taken during the winter and summer of 2013. The Essex samples were taken during the winter, early spring and summer of 2013. 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/a84622db-842d-40d2-aad8-e3f85bd306c9

  • The HADRT2.1 data are global monthly fields of radiosonde temperature anomalies at standard pressure levels on a 5 degree latitude by 10 degree longitude grid from 1958 to July 2004. Anomalies are calculated with respect to 1971-1990 climatology. Anomalies are available for 9 standard levels (850, 700, 500, 300, 200, 150, 100, 50, 30hPa) as well as tropospheric (850 - 300hPa) and stratospheric (150 - 30hPa) averages. The data are degree Celsius anomalies from 1970-1990 means. Anomalies are calculated for each of about 200 sonde stations worldwide and grid values derived from these. HADRT2.1 is as HadRT2.0 but with bias corrections made to many station time series world-wide. The adjustments were calculated by reference to MSU data products, but only for known changes in instrumental or operational procedures for the period post 1979. No data are available for the 30hPa level in this version. This dataset has been superseded by the HadAT dataset also available from CEDA.

  • Cloud base and backscatter data from the Met Office's Vaisala Ct25k ceilometer located at St Helena, British Overseas Territory. The Met Office's laser cloud base recorders network (LCBRs), or ceilometers, returns a range of products for use in forecasting and hazard detection. The backscatter profiles can allow detection of aerosol species such as volcanic ash where suitable instrumentation is deployed.

  • This dataset consists of version 2.7 gridded surface ozone metrics for atmospheric chemistry model evaluation. These data have global coverage on both monthly and annual timescales from 1971-2015. Multiple model resolutions were used and can be easily identified within the filename. Data are stored as NetCDF-4 files, with one file per model resolution at each time resolution. The files hold gridded surface ozone data from multiple databases (WMO GAW, EPA CASTNET, EPA AQS, Canadian CAPMON, Canadian NAPS, European EMEP, European AirBase, East Asian Acid Deposition Monitoring Network EANET), plus metadata. Metrics include the moments of the distribution, percentiles, maximum daily eight-hour average (MDA8), SOMO35, AOT40, and metrics related to air quality regulatory thresholds. In addition, metadata for all contributing sites (e.g. Site name, latitude, longitude) are included in each file.

  • Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for The UK Ice in Clouds Experiment -- Dust (UK ICE-D) (AER-D) project.

  • Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for Polluted Troposphere: CLOud Processing of regional Air Pollution advecting over land and sea (CLOPAP) project.

  • Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for Polluted Troposphere NERC Research Programme (AMPEP) project.