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Dataset

Hayashi, Yurie and Zheng, Ying (2024): Rodent behavioural data and Matlab codes for repeated textured Novel Object Recognition tests (tNORTs). University of Reading. Dataset. https://doi.org/10.17864/1947.000538

Bell, Luke (2023): Eruca vesicaria subsp. sativa RNA-SEQ gene expression and annotation. University of Reading. Dataset. https://doi.org/10.17864/1947.000458

Bishop, Jacob (2016): Effect of interactions between heat stress and insect pollination on faba bean (Vicia faba L.) yield production. University of Reading. Dataset. https://doi.org/10.17864/1947.16

Bishop, Jacob (2017): Measures of cross-pollination and yield production of faba bean (Vicia faba L.) in response to heat stress and insect pollination treatments. University of Reading. Dataset. https://doi.org/10.17864/1947.83

Bishop, Jacob (2016): Responses of faba bean (Vicia faba L.) yield parameters to heat stress treatments for five days during floral development and anthesis. University of Reading. Dataset. https://doi.org/10.17864/1947.48

Bull, Stephanie Paige and Hong, Yuchun (2016): The effect of thermal denaturation on physiochemical and sensory properties of whey protein. University of Reading. Dataset. https://doi.org/10.17864/1947.52

Chapman, Catherine (2024): Dataset supporting the thesis "Belowground carbon sequestration potential of apple trees". University of Reading. Dataset. https://doi.org/10.17864/1947.001371

Dhandapani, Selva, Pakkirisamy, Manikandan, Rajaraman, Ranjith, Garratt, Michael, Potts, Simon, Raj, Rengalakshmi, Subramanian, Malarvannan and Senapathi, Deepa (2023): Flower visitor, pod productivity and pod quality data from Moringa plantations with floral interventions and control. University of Reading. Dataset. https://doi.org/10.17864/1947.000508

Edwards, Stuart (2024): Data supporting the PhD thesis 'Predicted consequences of population asynchrony arising from climate warming in aphid-parasitoid systems'. University of Reading. Dataset. https://doi.org/10.17864/1947.001332

Garratt, Michael, Fountain, Michelle T, McKerchar, Megan and Webber, Sean M (2016): Valuing insect pollinators for UK apple production. University of Reading. Dataset. https://doi.org/10.17864/1947.50

Garratt, Michael, O'Connor, Rory, Kinneen, Lois, Fountain, Michelle and Carvell, Claire (2022): Flower visitor, fruit yield and fruit quality data from UK apple orchards under flowering and nesting habitat interventions. University of Reading. Dataset. https://doi.org/10.17864/1947.000400

Garratt, Michael, O'Connor, Rory, Potts, Simon, Webber, Sean, Andersson, Georg, Garibaldi, Lucas, Bernauer, Olivia, Blitzer, Eleanor, Boreux, Virginie, Klein, Alex, Pufal, Gesine, Roquer-Beni, Laura, Bosch, Jordi, Campbell, Alistair, Wäckers, Felix, de Groot, Arjen, Kirkitadze, Giorgi, Japoshvili, George, Kovács-Hostyánszki, Aniko, Földesi, Rita, Martins, Kyle, Miñarro, Marcos, García, Daniel, Paxton, Robert, Zhusupbaeva, Aigul, Scott, Lorraine, Radzeviciute, Rita, Samnegård, Ulrika, Hambäck, Peter and Vereecken, Nicolas (2021): Apple fruit set and quality under contrasting pollination treatments for multiple apple varieties from multiple countries. University of Reading. Dataset. https://doi.org/10.17864/1947.314

Garratt, Michael and Potts, Simon (2019): Crop pollinator pan trap, timed observation and transect data. University of Reading. Dataset. https://doi.org/10.17864/1947.216

Hardman, Chloe J. (2016): Delivering biodiversity and pollination services on farmland: a comparison of three wildlife-friendly farming schemes. University of Reading. Dataset. https://doi.org/10.17864/1947.69

Howard, Charlotte (2024): Data from flower margins support natural enemies adjacent to apple orchards but evidence of spill-over is mixed. University of Reading. Dataset. https://doi.org/10.17864/1947.001355

Howard, Charlotte (2024): Data from perennial flower margins reduce orchard fruit damage by rosy apple aphid, Dysaphis plantaginea (Homoptera: Aphididae). University of Reading. Dataset. https://doi.org/10.17864/1947.000525

James, Daniel (2024): Data for investigating the effects of high-protein diets on microbiota, gut barrier function, and mucosal immunity, with a focus on potential sex-dependent differences. University of Reading. Dataset. https://doi.org/10.17864/1947.001381

James, Daniel (2023): Data set for in vitro investigation into high protein diets on microbiota composition and metabolic output. University of Reading. Dataset. https://doi.org/10.17864/1947.000504

Jones, Hannah, Lukac, Martin, Brak, Bastiaan, Martinez-Eixarch, Maite, Alhomedhi, Abdulaziz and Gooding, Mike (2016): Analyses of the relationship between photoperiod sensitivity and flowering duration in wheat. University of Reading. Dataset. https://doi.org/10.17864/1947.42

Kinneen, Lois, Córdoba Suarez, Eric, Ramos-Pastrana, Yardany and Garratt, Michael (2023): Invertebrate data from malaise traps and sweep transects according to habitat type on farms in Caquetá, Colombia. University of Reading. Dataset. https://doi.org/10.17864/1947.000494

Luberti, Matteo (2023): Supplementary materials for the thesis 'Investigating durable resistance to Phytophthora cactorum in strawberry and apple'. University of Reading. Dataset. https://doi.org/10.17864/1947.000460

Piras, Cristian and Cramer, Rainer (2021): Liquid Atmospheric Pressure MALDI MS for high-throughput diagnosis and antibiotic resistance detection. University of Reading. Dataset. https://researchdata.reading.ac.uk/id/eprint/279

Piras, Cristian and Cramer, Rainer (2020): MALDI MS-based analysis of Puccinia komarovii var. glanduliferae-infected Impatiens glandulifera leaves. University of Reading. Dataset. https://researchdata.reading.ac.uk/id/eprint/238

Piras, Cristian and Cramer, Rainer (2020): Rapid liquid AP-MALDI MS profiling of lipids and proteins from goat and sheep milk for speciation and colostrum analysis. University of Reading. Dataset. https://doi.org/10.17864/1947.247

Piras, Cristian and Cramer, Rainer (2020): Speciation and adulteration analysis of milk by liquid AP-MALDI MS profiling. University of Reading. Dataset. https://doi.org/10.17864/1947.232

Reeves, Laura (2024): Data on the efficacy and interactions of two natural enemy species (Anthocoris nemoralis and Forficula auricularia) for the biological control of pear psyllid (Cacopsylla pyri), Kent, UK. University of Reading. Dataset. https://doi.org/10.17864/1947.001341

Reeves, Laura (2023): Functional and behavioural response data of the anthocorid Anthocoris nemoralis to Cacopsylla pyri, at different temperatures, Kent, UK. University of Reading. Dataset. https://doi.org/10.17864/1947.000482

Reeves, Laura (2022): Pear phenology and climate data from 1960-2020, Kent, UK. University of Reading. Dataset. https://doi.org/10.17864/1947.000404

Roberts, Rachel and Jones, Hannah (2017): Quantification of nodulation in red clover (Trifolium pratense), white clover (T. repens), lucerne (Medicago sativa) and black medic (M. lupulina) in a range of 10 UK farm soils. University of Reading. Dataset. https://doi.org/10.17864/1947.118

Sanz Morales, Patricia (2023): Dataset supporting the article 'Fermentation of human milk oligosaccharides using faecal microbiota from healthy and Irritable Bowel Syndrome donors using in vitro batch cultures'. University of Reading. Dataset. https://doi.org/10.17864/1947.000507

Wyver, Chris (2023): Dataset and R Code supporting results from 'Biological traits predict ability of British wild bees to occupy their climate envelopes'. University of Reading. Dataset. https://doi.org/10.17864/1947.000522

Wyver, Chris (2023): Dataset and R code supporting results from 'Spatio-temporal shifts in British wild bees in response to changing climate'. University of Reading. Dataset. https://doi.org/10.17864/1947.000485

Wyver, Chris (2023): Dataset supporting the article 'Climate-driven phenological shifts in emergence dates of British bees'. University of Reading. Dataset. https://doi.org/10.17864/1947.000477

Wyver, Chris (2023): Datasets and R Code supporting results from 'New Citizen Science initiative reveals impact of climate on fruit tree blossom patterns in Great Britain'. University of Reading. Dataset. https://doi.org/10.17864/1947.000524

Zhou, Ruihan and Bozbas, Esra (2022): Dataset supporting paper 'Circulating extracellular vesicles are strongly associated with cardiovascular risk markers'. University of Reading. Dataset. https://researchdata.reading.ac.uk/id/eprint/366

Zhou, Ruihan and Bozbas, Esra (2023): Dataset supporting paper 'Dietary n-3 polyunsaturated fatty acids alter the number, fatty acid profile and coagulatory activity of circulating and platelet-derived extracellular vesicles'. University of Reading. Dataset. https://doi.org/10.17864/1947.000513