This dataset comes from Moringa oleifera and M. stenopetala seed pod collections harvested from known provenances in Kenya. The data includes both pod and seed traits as well as canopy and coppicing information for the mother trees. Full details about this dataset can be found at https://doi.org/10.5285/2e9ad843-c5db-402a-8b47-de45bf7bbaf2

This dataset contains information about how seeds collected from Brazilian Cerrado plant species germinate in smoke water and control water solutions. Seeds were collected from site across the Cerrado between 2013 and 2020. Germination was assessed in laboratory experiments by placing seeds on wet filter paper with water and smoke water solutions. Two different methods were used. One used a commercially available smokewater, Regen 2000 and the other used smoke water produced from burning biomass collected in central Brazil. Germination was counted daily by observing emergence of radicle from the seed. The work was supported by NE/T004851/1 NERC-FAPESP Seedcorn Fund Collaboration Project "Fire-adapted seed traits in Cerrado species" between RHUL (UK) and UNESP (Brazil). Full details about this dataset can be found at https://doi.org/10.5285/ad4e3224-4674-47a1-ad1a-80c1c109f20c

These data describe the rates of filled, viable and germinating seeds from over 60 maternal juniper trees from across the UK. 12 populations from the Scottish Highlands to Southern English Downs were sampled in Fall 2023. Four different methods of seed viability testing were applied, and germination was monitored for over a year in response to nine different combinations of pretreatments and stratifications. Reproducible analyses and visualizations from an associated study are provided with an R project. This trial was conducted to determine the optimal treatment for juniper stratification and to quantify the variability in seedlot quality/viability among populations. Full details about this dataset can be found at https://doi.org/10.5285/64607f86-0228-4a03-9d87-6e36435028a1

This dataset contains single scanning electron microscopy images for fruits/seeds collected between 2014 and 2020 from fourteen plant species found in Brazilian Cerrado as an indication of seed structure, morphology and size. The work was supported by NE/T004851/1 NERC-FAPESP Seedcorn Fund Collaboration Project "Fire-adapted seed traits in Cerrado species" between RHUL (UK) and UNESP (Brazil). Full details about this dataset can be found at https://doi.org/10.5285/730086fd-80cd-4f44-8b13-b6168c07c7a8

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

The data resource consists of two years of seed rain data for woody plant species in invaded subtropical mountain forests (Yungas). The forests were in the Horco Molle Experimental Reserve and Parque Sierra de San Javier (Horco Molle), Tucumán, Argentina. The data are collected as part of an experiment to investigate the effects of management control of the invasion of the non-native species Ligustrum lucidum on the dynamics of the woody community. The experiments ran from June 2020 to November 2023. Every two weeks, fallen fruits and seeds were collected in fixed traps (surface 0.25 m2 each) located along transects within forest permanent plots. Each permanent plot (240 metres by 140 metres, 3.36 hectares for each plot) had four transects (160 metres long), and 12 traps were deployed within each transect. The placement of seed traps along the transects was informed by in silico experiments in which both the dispersal and management of L. lucidum were simulated and the placement of traps along simulated transects. After simulating different trap placements, the design chosen provided the highest precision and closest fit to the simulated dispersal and management of L. lucidum. After collection, the fruits and seeds were counted and identified at the lowest feasible taxonomic level (species level) in a laboratory using a stereo microscope. Also recorded was if the fruit or seed had some evidence of having been digested by animals. The work was carried out as part of NERC grant NE/S011641/1 "Optimising the long-term management of invasive species affecting biodiversity and the rural economy using adaptive management". Full details about this dataset can be found at https://doi.org/10.5285/72915dd3-3972-46f2-a0f3-0f52fe51667f

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