Browse by Funders

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://researchdata.reading.ac.uk/id/eprint/538

Adair, Lily R. and Cramer, Rainer (2023): Dataset to support improved peptide and protein database search scores in chimeric MS/MS spectra. University of Reading. Dataset. https://doi.org/10.17864/1947.000476

Atsawawaranunt, Kamolphat, Harrison, Sandy and Comas Bru, Laia (2018): SISAL (Speleothem Isotopes Synthesis and AnaLysis Working Group) database Version 1.0. University of Reading. Dataset. https://doi.org/10.17864/1947.139

Austin, Jessica (2023): Avocado supply chain dataset. University of Reading. Dataset. https://doi.org/10.17864/1947.000434

Austin, Jessica (2023): Weather and grower dataset. University of Reading. Dataset. https://doi.org/10.17864/1947.000436

Brady, Daniel, Bray, Peter, de Boon, Auvikki, De Maria, Marcello, Hodgson, Kirsty, Read, Sophie and Williams, Brendan (2022): University of Reading Open Research Survey 2021 dataset. University of Reading. Dataset. https://doi.org/10.17864/1947.000355

De Maria, Marcello (2020): Implementation of Large-Scale Land Acquisitions (LSLAs) projects and the role of institutions. University of Reading. Dataset. https://doi.org/10.17864/1947.243

Geher-Herczegh, Tunde (2023): Time-lapse imaging datasets of Belousov-Zhabotinsky self-oscillating hydrogels under cyclic mechanical compressions. University of Reading. Dataset. https://doi.org/10.17864/1947.000467

Gierer, Fiona (2022): Dynamics of cyprodinil and fludioxonil in sunflower (Helianthus annuus L.). University of Reading. Dataset. https://doi.org/10.17864/1947.000378

Gierer, Fiona (2022): Residue dynamics of cyprodinil and fludioxonil in pollen and nectar of courgette (Cucurbita pepo L.). University of Reading. Dataset. https://doi.org/10.17864/1947.000375

Gierer, Fiona (2022): Residue variability in pollen and nectar following application with different application techniques and at different sites. University of Reading. Dataset. https://doi.org/10.17864/1947.000376

Gierer, Fiona (2022): The effect of temperature on residue levels in floral matrices. University of Reading. Dataset. https://doi.org/10.17864/1947.000377

Karampatakis, Georgios Dimitrios (2021): Data supporting the article ‘Patients’ experiences of pharmacists in general practice’. University of Reading. Dataset. https://doi.org/10.17864/1947.297

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

Senapathi, Deepa (2021): Crop pollinator communities - global dataset. University of Reading. Dataset. https://doi.org/10.17864/1947.286

Senapathi, Deepa (2021): Global crop pollinator dataset on temporal variation. University of Reading. Dataset. https://doi.org/10.17864/1947.289

Senapathi, Deepa (2021): Temporal variation in global crop pollinator communities. University of Reading. Dataset. https://doi.org/10.17864/1947.291

Wairagkar, Maitreyee (2017): EEG Data for Voluntary Finger Tapping Movement. University of Reading. Dataset. https://doi.org/10.17864/1947.117

Walker, Sue, Bravo, Josefina and Edwards, Al (2022): User-friendly point-of-use instructions for home use diagnostic tests. University of Reading. Other. https://doi.org/10.17864/1947.000419

Wass, Ana and Butler, George (2018): Measurements of broad sense heritability of generation time and motility in cancer cell lines. University of Reading. Dataset. https://doi.org/10.17864/1947.167

Williams, Brendan (2021): Human Connectome Project thalamic parcellation. University of Reading. Dataset. https://doi.org/10.17864/1947.000339