The dataset contains information on the species identity and frequency of all insect-flower interactions recorded in ten birch (Betula spp.) woodland fragments surveyed in 2009 (May-August). The data were collected in two transects (50 x 2m; 15m apart and at least 50m from the woodland edge) randomly situated prior to the onset of flowering in the centre of each wood. Five of the woodland sites were disturbed by cattle grazing, while five were undisturbed. Landowners confirmed that livestock had been absent for at least 70-100 years in undisturbed sites. Where livestock were present, cattle grazing was light to moderate (e.g. 2007: mean = 8.4 cattle ha-1) and long term (mean = 33 years). The dataset comprises 13 columns, 2002 rows and is 218 KB. It gives the site name, geographic coordinates, whether it was disturbed by cattle grazing or not, the wind speed and temperature at time of sampling, the date of sampling, and the identity of the insect and plants interacting (binomial name or recognisable taxonomic unit). Full details about this dataset can be found at https://doi.org/10.5285/4c058d1f-6166-4606-88a2-d2feaf036a2f

This dataset contains measures of fitness traits from Eschscholzia californica progeny which were experimentally supplemented with selfed or outcrossed pollen to determine the effects of self-fertilisation on a plant which has a low propensity to self. A glasshouse experiment was conducted using 40 plants. On each plant two flowers were emasculated and the first supplemented with outcrossed pollen and the second with self-pollen. From each supplemented plant, a seed was sowed from the outcrossed fruit and from the selfed fruit. The following fitness traits were recorded; the germination rate, the duration from germination to reproductive maturity (time of first flower), together with the height (cm) and biomass (number of flowers and buds) at reproductive maturity. 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 nonGeographicDataset can be found at https://doi.org/10.5285/551756fd-77ea-479f-8bc9-f0437c6aead6

This dataset provides pollen production values for 168 common plant species found in the UK. The dataset consists of pollen volume per flower, calculated from pollen grain number and pollen grain size. Pollen data can be useful in identifying the high pollen producing species for pollinator conservation and it can be combined with floral surveys to estimate the pollen production of plant communities. Full details about this dataset can be found at https://doi.org/10.5285/0b454d53-dfe7-48fd-9e18-b683d004b159

Estimates of plant abundance (for leaf area, floral units and seed abundance, mass and energy) obtained from field-based sampling as part of a study of ecological interactions (food webs and plant-pollinator networks) on a single farm (Norwood Farm, Somerset, UK: 51.3128N 2.3206W) during 2007 and 2008. During the study, Norwood Farm was managed as an organic farm at relatively low intensity. The work was was supported by the Biotechnology and Biological Sciences Research Council [grant number BBD0156341]. Full details about this dataset can be found at https://doi.org/10.5285/0c123d4e-186f-48f5-8580-d0696b247287

This dataset consists of butterfly and bumblebee counts, winter bird counts, number of flowering units, and seed mass data, along with categories of soil type and quality, and temperature data. Data were collected from arable farms under the English Entry Level agri-environment Scheme (ELS) for two options: Nectar Flower Mixture option (NFM) and Wild Bird Seed Mixture (WBM). Surveys were carried out in 2007 and repeated in 2008. All data were collected using standardised protocols: butterfly and bumblebee counts were collected from transects in the NFM options during summer; flowering units were counted within quadrats along the same transects in summer; bird counts were made in winter within the whole WBM areas; seed resource was calculated for the WBM areas from seeds collected in quadrats along transects. The dataset also contains results from farmer interviews. The interviews were designed to explore farmer attitudes towards, and history of, environmental management and their perceptions and understanding of the management requirements. Three measures of farmer attitude were then calculcated from their responses: experience (4-point scale), concerns (5-point scale) and motivation (3-point scale). All data were collected as part of the FarmCAT project, the principal aim of which was to develop a holistic understanding of the social and ecological factors which lead to the successful delivery of agri-environmental schemes. This project was funded as part of the ESRC Rural Economy and Land Use (RELU) programme. Full details about this dataset can be found at https://doi.org/10.5285/d774f98f-030d-45bb-8042-7729573a13b2