University of Stirling
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118 research outputs found
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'On-farm' seed priming: an ecological & sustainable disease management strategy
No full textThe dataset contains the results from a series of germination and seedling vigour tests for two barley cultivars subjected to different soaking times. The dataset also contains weight and seed respiration measurements during seed soaking. This data was used in the Seed Science Research paper "Using seed respiration as a tool for calculating optimal soaking times for ‘on-farm’ seed priming of barley (Hordeum vulgare)", Carrillo-Reche, Newton & Quilliam (2021). In the manuscript, we show how seed respiration principles, previously utilised for the study of seed germination, can be used as an effective tool to rapidly find cultivar- and seed quality-specific optimal seed priming duration without the need for a cumbersome series of germination assays and mini-plot trials (current practice). It provides a greater understanding of physiological events and pre-germinative process of barley seed during priming (e.g. energetic and metabolic activity), and links them to their invigorating benefits. The mechanistic of these invigorating effects, i.e. timing and contribution of their drivers, are discussed in detail against the current knowledge.(1.) ESM0. Cover-page.docx (2.) ESM1. Germination and desiccation tests.xlsx - Spreadsheet containing raw data from measurements during priming, and seed performance results from germination and desiccation test.
ESM2. Seedling vigour test.xlsx - Spreadsheet containing seedling performance results from a series of seedling vigour tests
Supplementary tables for overview of review
No full textThis is supplementary information for an overview of systematic review for a PhD thesis – the title of that section is Treatments and interventions for suicidality in children and young people: An overview of reviews.Mesh Terms; Excel table of study characteristics; Study Overlap; Robis Judgements; The Risk of Bias as judged by authors; Pooled Data and GRADE Judgements of Review Authors.6 file
Loch Linnhe Pockmarks and Gas locations
No full textThis data is associated with the paper, Audsley et al. (In Press) Spatial relationships between sub-seabed gas and pockmarks in fjordic settings: evidence from Loch Linnhe, West Scotland. Geosciences. The data contains Esri shapefiles and bathymetric rasters used to observe the distribution of sub seabed gas and the presence of pockmarks within Loch Linnhe. Location and depth of the gas front was measured from original paper records of a boomer seismic survey from Loch Linnhe in 2010. These points were then processed using the inverse distance weighting tool within ArcGIS. The distribution of pockmarks was also analysed using the optimised hot-spot analysis tool within ArcGIS. The distribution of pockmarks and sub-seabed shallow gas within localised hot-spots show that important depocenters of organic matter exist within the region.Bathymetry.tif is a raster file showing the bathymetry of Loch Linnhe. Can be accessed in a GIS. GasLocation.shp is a point shapefile showing the location of gas within Loch Linnhe, which can be accessed in a GIS. Pockmarks.shp, is a point shapefile showing the location of pockmarks in Loch Linnhe, which can be accessed in a GIS
Intake of animal-based foods and consumer behaviour towards organic food: The Case from Nepal
No full textThis study aims to segment Nepalese consumers based on their frequency intake of animal-based foods and thereby determine determinants of organic food purchasing behaviour to suggest possible marketing strategies. A face-to-face survey was conducted among Nepalese consumers (n = 527), employing the theory of planned behaviour (TPB) as a conceptual framework extended with knowledge, environmental concern, health consciousness, and background factors (socio-demographic and lifestyle characteristics). Three segments were identified employing k-mean segmentation: All Low (n = 113), High Dairy (n = 246), and High Dairy and Meat (n = 168). A covariance-based structural equation modelling (CB-SEM) analysis indicated that perceived behavioural control was the main predictor of organic food purchasing intention, followed by attitude, subjective norms, knowledge, and environmental concern. Health consciousness showed no significant influence on organic food purchasing intention. Organic food purchasing intention had a strong positive and significant influence on organic food purchasing behaviour. Socio-demographic and lifestyle characteristics were found to influence behavioural intention indirectly by their effects on attitude, subjective norms, perceived behavioural control, knowledge, and environmental concern. Income seems to also have a direct influence on organic food purchasing behaviour. Further, the segment with a low intake of animal-based foods held positive attitudes towards organic food and higher environmental concerns. The findings can be used to inform organic food producers and targeted marketing campaigns towards promoting organic food purchasing behaviour in Nepal and similar countries.The file contains the dataset of consumer research conducted in three cities of Nepal: Kathmandu, Lalitpur and Bhaktapur.
Theory of planned behaviour constructs and additional constructs measured in 5-point Likert Scale (Strongly Disagree to Strongly Agree)
ATT: Attitudes towards organic food
SN: Subjective norms
PBC: Perceived behavioural control
KN: Knowledge
EC: Environmental concern
HC: Health consciousness
Socio-demographic characteristics:
Age (≤ 20 years, 21 – 30, 31 – 40, 41 – 50, ≥ 51), Gender (male, female), Marital status (single, partner, married with children, others), Education (school, intermediate, bachelor, masters and above, others), Income (NPR 0 – 10,000, 10,001 – 40,000, 40,001 – 70,000, 70,001 – 100,000, ≥100,001, no statement).
Intake of animal-based foods: Meat, Fish, Dairy, Egg - measured in 9-point scale.
The software used was SPSS version 26
Dataset for "What do participants expect to experience in the rubber hand illusion?"
No full textThis dataset was collected for a conceptual replication of Lush (2020, Collabra: Psychology). Participants were presented with a verbal description and video of the rubber hand illusion, and asked to report the sensations they would expect to experience were they to undergo the procedure.A single .csv file called 'dataSTORRE' contains all data. A .txt file called 'README' provides a description of column names in the .csv file
Making a House a Home in the Private Rented Sector
No full textThis dataset comprises the complete list of items reviewed for the 'Making a House a Home in the Private Rented Sector' project, which was funded by SafeDeposits Scotland Charitable Trust. The project aimed to review the existing research evidence regarding home-making in the private rented sector, with a particular focus on the role of landlords and letting agents in enabling tenants to feel at home. Items were identified for the review through a systematic search of academic databases (Scopus and Web of Science) for English-language items, related to OECD countries, published since 2000. This was augmented by a grey literature search using the same boundaries. In total, 66 items were reviewed – this dataset lists the items, providing author(s), date, title, methods used and participants in each study.Complete list of items reviewed for the study. This document lists the items reviewed, providing author(s), date, title, methods used and participants in each study
Evolution and function of buzz pollination: An experimental test using fluorescent nanoparticles
No full textRaw data for "Pollen dispensing schedules in buzz-pollinated plants: Experimental comparison of species with contrasting floral morphologies" published in the American Journal of Botany (2021). The data set contains (A) the amount of pollen released per vibration, (B) the total amount of pollen in each flower, (C) anther lengths and breadths, and (D) anther pore areas.
We conducted two pollen extraction experiments. In the first experiment, we subjected Solanum rostratum, S. fructu-tecto, S. grayi var. grandiflorum, S. grayi var. grayi, S. citrullifolium, and S. heterodoxum flowers to simulated vibrations. All vibration stimuli had a peak velocity of 80 mm/s. Each flower was subjected to 30 consecutive vibrations. Pollen was collected in separate vials for vibrations 1—10, 15, 20, 25, and 30. The remaining pollen in the flower was also extracted (see Kemp & Vallejo-Marin 2021 for details). In the second experiment, we repeated the methods in experiment 1, but we applied three different vibration velocity treatments (80, 40, and 20 mm/s). For this we used S. citrullifolium, and S. heterodoxum flowers.
We estimated the number of pollen grains in each sample using a particle counter. Each pollen sample was added to 20 mL 0.9% NaCl solution during analysis (see Kemp & Vallejo-Marin 2021 for details). For each sample, the amount of pollen was counted in two 1 mL subsamples. The pollen counts for these subsamples were averaged and multiplied by 20 to obtain the total pollen count. For samples with higher pollen concentrations, we added the pollen samples to 100 or 200 mL NaCl solution and multiplied the averaged pollen count by 100 or 200 respectively to obtain the total pollen count.
We measured three traits for the pollinating and feeding anthers separately for each flower used in our trials: (1) the anther length, (2) the anther breadth at base of the anther, and (3) the area of the pores. To measure the anther pore area, we took SEM photographs of one feeding and one pollinating anther per flower, and we measured the area of the pores from photographs (see Kemp & Vallejo-Marin 2021 for details).This data set contains the raw data associated with the paper "Pollen dispensing schedules in buzz-pollinated plants: Experimental comparison of species with contrasting floral morphologies" published in the American Journal of Botany in 2021.The data set contains (A) the amount of pollen released per vibration, (B) the total amount of pollen in each flower, (C) anther lengths and breadths, and (D) anther pore areas
Elephant camera trap detection events, Ruaha-Rungwa 2018-2019
No full textThis dataset was generated by a study investigating how anthropogenic risk affects the active periods of African savanna elephants. This dataset includes the date, time, and location of independent detection events of elephants from camera trap photos obtained during the deployment of four camera grids in the Ruaha-Rungwa ecosystem of Tanzania in the dry seasons of 2018 and 2019: Grid 1 (RNP) in core area of Ruaha National Park, Grid 2 (MIO) in a miombo wilderness zone of Ruaha National Park, Grid 3 (MBO) in MBOMIPA Wildlife Management Area, Grid 4 (RUI) in the Rungwa-Ikiri block of Rungwa Game Reserve. Grid 1 was considered a low-risk area for elephants. Grids 2, 3, and 4 were considered high-risk areas for elephants. We defined independent elephant detection events as images of elephants that were separated by more than 15 minutes. We noted the start time (the time of the first photograph in an event) and the midpoint for each event. Event times in the dataset are expressed in 'sun time', in order to account for geographic and temporal variation in the times of sunrise and sunset over the study area and study period. We used the SunTime function in the overlap package (Ridout & Linkie, 2009) in R to convert clock times (time on a 24-hour clock) to sun times (Nouvellet et al., 2012). We also coded group type for each detection event as: cow-calf (CC), lone bull (LB), bull group (BG), mixed group (M) of cow-calf plus mature males, or unknown (U). Each row in the dataset is a detection event.
References
Nouvellet, P., Rasmussen, G. S. A., Macdonald, D. W., & Courchamp, F. (2012). Noisy clocks and silent sunrises: measurement methods of daily activity pattern. Journal of Zoology, 286(3), 179-184.
Ridout, M. S., & Linkie, M. (2009). Estimating overlap of daily activity patterns from camera trap data. Journal of Agricultural, Biological, and Environmental Statistics, 14(3), 322–337
Generated data for the paper "Injecting Shortcuts for Faster Running Java Code"
No full textThese are the results to accompany the published conference paper noted above, to appear at the World Congress on Computational Intelligence, special session on Genetic Improvement of Software.*.Profiler_output.csv - the hot methods identified by Gin's profiler
*.InsertEnumerator*.csv - the results of the Enumeration experiments
*.RandomSamplerInserts*.csv - the results of the sampling experiments
*.SBLocalSearch*.output.csv - results from the local search (patches plus test results + run times)
*.SBLocalSearch*stdoutstderr.txt - results from the local search (debugging output)
gin-cec2020-stats.r - script to generate stats and plot
Tree census data from Barro Colorado Nature Monument 1-hectare secondary forest plot network
No full textForest census data collected in eight 1-hectare secondary forest plots in the Barro Colorado Nature Monument in central Panama. Census data includes tree identity (species-level) and diameter breast height (DBH) measurements for all trees >50mm in six forest plots, and for all trees >10mm in two forest plots. Data was collected between 2011 and 2014.BCNM_secondary_forest_1ha_plots.xls contains Forest census data collected in eight 1-hectare secondary forest plots in the Barro Colorado Nature Monument in central Panama. Census data includes tree identity (species-level) and diameter breast height (DBH) measurements for all trees >50mm in six forest plots, and for all trees >10mm in two forest plots. Data was collected between 2011 and 2014