University of Reading Research Data Archive

Items where Year is 2022

Up a level
Export as [feed] Atom [feed] RSS
Group by: Creators | Item Type | No Grouping
Jump to: Dataset
Number of items: 36.

Dataset

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

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

Byrom, Rachael and Shine, Keith (2022): Monthly-mean radiative forcings following an increase in methane from 750 ppb to 1800 ppb. University of Reading. Dataset. https://doi.org/10.17864/1947.000396

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

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

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

Gaitanis, Dimitrios (2022): Raw data of an experiment to assess the effect of plant residue size, quality, and diversity, applied as mulch, on soil nutrient dynamics, on Arbuscular Mycorrhizal Fungi root colonization, and on crop plant yield and quality. University of Reading. Dataset. https://doi.org/10.17864/1947.000395

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

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

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

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

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

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

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

Ong, Jia Hoong, Leung, Florence and Liu, Fang (2022): The Reading Everyday Emotion Database (REED): version 2.0. University of Reading. Dataset. https://doi.org/10.17864/1947.000407

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

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

Tibbett, Mark (2022): Data supporting the article 'Phosphorus uptake and toxicity is delimited by mycorrhizal symbiosis in P-sensitive Eucalyptus marginata but not in P-tolerant Acacia celastrifolia'. University of Reading. Dataset. https://doi.org/10.17864/1947.000399

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

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

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 Tue Aug 9 05:15:46 2022 BST.