University of Reading Research Data Archive

Items where Year is 2022

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Number of items: 30.

A

Augusto, Ana (2022): Data used in the PhD thesis 'SeaCoat - Marine based edible coatings for minimally processed fruit'. University of Reading. Dataset. https://doi.org/10.17864/1947.000380

B

Backhouse, Lisa T.D. (2022): Early medieval pottery dataset of Lyminge, Kent, 2008-2015. University of Reading. Dataset. https://doi.org/10.17864/1947.000356

Bresson, Hélène, Hodges, Kevin and Zappa, Giuseppe (2022): Tracks of polar lows over the Northern Hemisphere in present and future HadGEM3-GA3 N512 simulations. University of Reading. Dataset. https://doi.org/10.17864/1947.000299

Burt, Stephen (2022): Archive of high-resolution barometric pressure records for the UK and Ireland, 15-18 January 2022. University of Reading. Dataset. https://doi.org/10.17864/1947.000359

C

Clark, Katherine, Garratt, Michael, Mauchline, Alice, Felton, Michelle, Potts, Simon and Bromfield, Lisa (2022): The benefits of hedges and hedgerows: database of literature. University of Reading. Dataset. https://doi.org/10.17864/1947.000371

D

Dubey, Indu and Chakrabarti, Bhismadev (2022): START project: data from two tablet-PC based tasks measuring social reward responsivity in a UK sample. University of Reading. Dataset. https://doi.org/10.17864/1947.000370

F

Ferreira, David (2022): Unique thermal expansion properties of water key to the formation of sea ice on Earth: model outputs. University of Reading. Dataset. https://researchdata.reading.ac.uk/id/eprint/394

G

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

H

Harrison, Giles (2022): Tonga eruption atmospheric pressure wave data. University of Reading. Dataset. https://doi.org/10.17864/1947.000354

Harrison, Giles and Nicoll, Keri (2022): Fog modification experiment by aircraft ion emission. University of Reading. Dataset. https://doi.org/10.17864/1947.000358

Harrison, Sandy, Shen, Yicheng and Sweeney, Luke (2022): Pollen data and charcoal data of the Iberian Peninsula (version 3). University of Reading. Dataset. https://doi.org/10.17864/1947.000369

Harrison, Sandy, Villegas-Diaz, Roberto, Lincoln, Paul, Kesner, David, Cruz-Silva, Esmeralda, Sweeney, Luke, Shen, Yicheng and Gallagher, Daniel (2022): The Reading Palaeofire Database v1b: an expanded global resource to document changes in fire regimes from sedimentary charcoal records. University of Reading. Dataset. https://doi.org/10.17864/1947.000345

Haughan, Alice and Senapathi, Deepa (2022): Changes in climate trends and velocities, forest loss and population density between 2001-2018 in India's districts. University of Reading. Dataset. https://doi.org/10.17864/1947.000364

K

Kampa, Jansuda, Frazier, Richard and Rodriguez-Garcia, Julia (2022): Data used in the article 'Physical and chemical characterisation of conventional and nano/emulsions: influence of vegetable oils from different origin'. University of Reading. Dataset. https://doi.org/10.17864/1947.000361

Kampa, Jansuda, Khalil Ghawi, Sameer and Rodriguez-Garcia, Julia (2022): Data used in the article 'Optimisation of the physicochemical stability of extra virgin olive oil-in-water nanoemulsion: processing parameters and stabiliser type'. University of Reading. Dataset. https://researchdata.reading.ac.uk/id/eprint/368

Kempster, Carly and Butler, George (2022): Images supporting 'Fully automated platelet differential interference contrast image analysis via deep learning'. University of Reading. Dataset. https://doi.org/10.17864/1947.000332

L

Liu, Chunlei and Allan, Richard (2022): Reconstructions of the radiation fluxes at the top of atmosphere and net surface energy flux: DEEP-C Version 5.0. University of Reading. Dataset. https://doi.org/10.17864/1947.000347

M

Mithen, Steven and White, Judith (2022): WF16 bird bone data from 2008-2010 excavation. University of Reading. Dataset. https://doi.org/10.17864/1947.000357

N

Nguyen, Thao Hoang Thu, Ding, Rui, Chatzifragkou, Afroditi, Methven, Lisa and Rodriguez-Garcia, Julia (2022): Data used in the article ‘Soluble fibres as sucrose replacers: effects on physical and sensory properties of sugar-reduced short-dough biscuits’. University of Reading. Dataset. https://doi.org/10.17864/1947.000384

Nicoll, Keri, Harrison, Giles, Marlton, Graeme and Airey, Martin (2022): Electrical aspects of rainfall generation - supporting field data. University of Reading. Dataset. https://doi.org/10.17864/1947.000362

P

Parker, Jane (2022): Data from GC-MS supporting identification of molecular triggers of parosmia. University of Reading. Dataset. https://doi.org/10.17864/1947.000350

Parker, Jane and Methven, Lisa (2022): Output from questionnaire relating to NCT04868435 study entitled 'Triggers for post-viral parosmia'. University of Reading. Dataset. https://doi.org/10.17864/1947.000367

V

Venison, Edward and Ordidge, Matt (2022): Simple Sequence Repeat (SSR) fingerprint data for apples from the National Fruit Collection as used in the article 'Microsatellite markers as a tool for active germplasm management and bridging the gap between national and local collections of apple'. University of Reading. Dataset. https://doi.org/10.17864/1947.000351

Villegas-Diaz, Roberto and Harrison, Sandy P. (2022): The SPECIAL Modern Pollen Data Set for Climate Reconstructions, version 2 (SMPDSv2). University of Reading. Dataset. https://doi.org/10.17864/1947.000389

W

Wagstaffe, James Patrick (2022): Combined eye-tracking and think-aloud data relating to how native-Chinese speakers process coreferential noun phrases in English-language academic texts. University of Reading. Dataset. https://doi.org/10.17864/1947.000383

Z

Zhang, Yuchan (2022): Legibility of Chinese-English direction signs: how the spatial presentation of bilingual typography in two different scripts affects sign legibility. University of Reading. Dataset. https://doi.org/10.17864/1947.000379

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

This list was generated on Sat Jul 2 05:15:46 2022 BST.