Items where Year is 2024

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

Adair, Lily R. and Cramer, Rainer (2024): Dataset to support 'LAP-MALDI MS analysis of amelogenin from teeth for biological sex estimation'. University of Reading. Dataset. https://doi.org/10.17864/1947.001331

Allen-Redpath, Keith (2024): Dataset supporting paper 'Extracellular vesicles from patients with coronary artery disease (CAD) demonstrate enhanced pro-coagulatory activity'. University of Reading. Dataset. https://doi.org/10.17864/1947.001327

Ames, Flynn (2024): Ocean stratification impedes particulate transport to the plumes of Enceladus: data and software. University of Reading. Dataset. https://researchdata.reading.ac.uk/id/eprint/1320

Aylmer, Jake R. (2024): Diagnostics from CMIP6, atmospheric reanalyses, and passive-microwave observations used to examine the impact of ocean heat transport on Arctic and Antarctic sea ice. University of Reading. Dataset. https://doi.org/10.17864/1947.001333

Cafiero, Mauricio (2024): Dataset supporting the article 'The role of exact exchange and empirical dispersion in density functional theory-based three-body non-covalent interactions'. University of Reading. Dataset. https://doi.org/10.17864/1947.001323

Cafiero, Mauricio (2024): Dataset supporting the article 'Transformer-decoder GPT models for generating virtual screening libraries of HMGCR inhibitors: effects of temperature, prompt-length and transfer-learning strategies'. University of Reading. Dataset. https://doi.org/10.17864/1947.001340

Cafiero, Mauricio and Harle, Joshua (2024): Dataset supporting the article 'Benchmark CCSD(T) and density functional theory calculations of biologically relevant catecholic systems'. University of Reading. Dataset. https://doi.org/10.17864/1947.000532

Calabrese, Paola and Hedger, Nicholas (2024): Dataset for a meta-analysis on word learning in children with developmental language disorder. University of Reading. Dataset. https://researchdata.reading.ac.uk/id/eprint/1372

Challen, Bob, Adair, Lily R. and Cramer, Rainer (2024): Dataset to support 'Liquid atmospheric pressure matrix-assisted laser desorption/ionization (LAP-MALDI) mass spectrometry using a commercial ion source and Orbitrap mass analyzer'. University of Reading. Dataset. https://doi.org/10.17864/1947.001326

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

Clark, Katherine (2024): Integrating food and energy production on farmland: database of decision support tools (DSTs). University of Reading. Dataset. https://doi.org/10.17864/1947.001382

Duane, Chloe (2024): Audience questionnaires for ‘The Stage and Beyond: Scenography and Audience Experience in Post-Millennial Stagings of Samuel Beckett’s Works’. University of Reading. Dataset. https://doi.org/10.17864/1947.001364

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

Fallon, James, Brayshaw, David, Methven, John, Jensen, Kjeld and Krug, Louise (2024): MERRA2 derived time series of GB telecommunications infrastructure electricity load, using historical daily surface temperature. University of Reading. Dataset. https://doi.org/10.17864/1947.000533

Fallon, James, Brayshaw, David, Methven, John, Jensen, Kjeld and Krug, Louise (2024): Model of GB telecommunications electricity load using UKCP18 climate projections. University of Reading. Dataset. https://researchdata.reading.ac.uk/id/eprint/1339

Fallon, James, Brayshaw, David, Methven, John, Jensen, Kjeld and Krug, Louise (2024): Model of GB telecommunications electricity load using meteorological re-analysis and temperature delta-shift. University of Reading. Dataset. https://researchdata.reading.ac.uk/id/eprint/1338

Flocco, Dani, Feltham, Danny and Schroeder, David (2024): Simulations with the ocean - sea ice model NEMOv3.6 and CICEv5.1 to study the impact of internal wave drag. University of Reading. Dataset. https://doi.org/10.17864/1947.001356

Hall, Charlotte, Ferrer, Pilar and Grau-Crespo, Ricardo (2024): Dataset supporting the article 'Spinel Ferrites MFe2O4 (M = Co, Cu, Zn) for photocatalysis: theoretical and experimental insights'. University of Reading. Dataset. https://doi.org/10.17864/1947.001342

Hamade, Bilal (2024): Data supporting 'A cross-cultural investigation of authentic leadership in the United Arab Emirates'. University of Reading. Dataset. https://doi.org/10.17864/1947.001347

Harrison, Giles (2024): Storm Ciarán atmospheric pressure data. University of Reading. Dataset. https://doi.org/10.17864/1947.001325

Harrison, Giles, Alkamali, Ahmad, Escobar Ruiz, Veronica, Nicoll, Keri and Ambaum, Maarten (2024): Charge emission data from 2023 Al Ain Campaign. University of Reading. Dataset. https://doi.org/10.17864/1947.001337

Harrison, Sandy, Egbudom, Mary-Ann, Liu, Mengmeng, Cruz-Silva, Esmeralda and Sweeney, Luke (2024): The SPECIAL EPD Database: an expanded resource to document changes in vegetation and climate from pollen records from Europe, the Middle East and western Eurasia. University of Reading. Dataset. https://doi.org/10.17864/1947.001363

Harvey, Natalie, Herzog, Michael and Webster, Helen (2024): Outputs from a volcanic ash transport and dispersion model (NAME), plume model (ATHAM) and source inversion system (InTEM) for phase 7 of the 2019 Raikoke eruption. University of Reading. Dataset. https://doi.org/10.17864/1947.001298

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

Jones, Tomos (2024): A botanist’s perspective on invasive ornamental plants: supporting data for research involving Botanical Society of Britain and Ireland (BSBI) vice-county recorders exploring invasive species. University of Reading. Dataset. https://doi.org/10.17864/1947.001303

Jones, Tomos (2024): A case study from the Royal Horticultural Society (RHS) Chelsea Flower Show looking at increasing awareness of invasive species through public engagement. University of Reading. Dataset. https://doi.org/10.17864/1947.001310

Lellman, Sophie and Cramer, Rainer (2024): Dataset to support LAP-MALDI MS profiling and identification of biomarkers for the detection of bovine tuberculosis. University of Reading. Dataset. https://doi.org/10.17864/1947.000443

Mkrtchyan, Hripsime, Harrison, Giles and Nicoll, Keri (2024): Lerwick Observatory monthly mean Potential Gradient by hour of day 1964-1984. University of Reading. Dataset. https://doi.org/10.17864/1947.001367

Morea, Nicola, Kasprowicz, Rowena Eloise, Morrison, Astrid and Silvestri, Carmen (2024): A new receptive vocabulary size test for young language learners in England. University of Reading. Dataset. https://doi.org/10.17864/1947.001365

Newton, Thomas (2024): Log Cabin Republicans 2013-2021 Twitter Database. University of Reading. Dataset. https://researchdata.reading.ac.uk/id/eprint/1361

Prizeman, Katie (2024): Data supporting 'Anhedonia and its subcomponent processes predict symptoms of clinical depression and loneliness in young people'. University of Reading. Dataset. https://doi.org/10.17864/1947.000521

Prizeman, Katie (2024): Data supporting: 'Internalized stigma is a predictor of mental health secrecy and loneliness in young people with depression symptoms: a longitudinal study'. University of Reading. Dataset. https://doi.org/10.17864/1947.001318

Prizeman, Katie (2024): Data supporting: 'Strategies to overcome mental health stigma: insights and recommendations from young people with major depressive disorder (MDD)'. University of Reading. Dataset. https://doi.org/10.17864/1947.001319

Randell, Gavin P (2024): Data supporting PhD 'The moral component of fighting power of the Army Reserve: a qualitative study'. University of Reading. Dataset. https://doi.org/10.17864/1947.001335

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

Ryalls, James (2024): Data from: Diesel exhaust and ozone adversely affect pollinators and parasitoids within flying insect communities. University of Reading. Dataset. https://doi.org/10.17864/1947.001359

Ryalls, James, Garratt, Michael, Spadaro, Davide and Mauchline, Alice (2024): Data from: The benefits of integrated pest management for apple depend on pest type and production metrics. University of Reading. Dataset. https://doi.org/10.17864/1947.001328

Shariati, Omid (2024): Elitist Genetic Algorithm (EGA)-based Energy Storage System (ESS)-facilitated Heavy Good Electric Vehicle (HGEV) charging station designer. University of Reading. Software. https://doi.org/10.17864/1947.000526

Shariati, Omid and Smith, Stefan (2024): Heavy goods electric vehicle (HGEV) depot charging demand modelling software. University of Reading. Software. https://doi.org/10.17864/1947.001304

Shariati, Omid and Smith, Stefan (2024): Heavy goods electric vehicle (HGEV) on-route charging demand modelling software. University of Reading. Software. https://doi.org/10.17864/1947.001305

Shariati, Omid and Smith, Stefan (2024): Heavy goods electric vehicle (HGEV) price-managed depot charging demand modelling software. University of Reading. Software. https://doi.org/10.17864/1947.001306

Soyama, Shin (2024): Dataset supporting paper 'Extracellular vesicles from patients with coronary artery disease (CAD) demonstrate enhanced pro-coagulatory activity'. University of Reading. Dataset. https://doi.org/10.17864/1947.000496

Towers Tompkins, Frances, Grau-Crespo, Ricardo and Lovelock, Kevin (2024): Dataset supporting the article 'Anion-dependent strength scale of interactions in ionic liquids from X-ray photoelectron spectroscopy, ab initio molecular dynamics, and density functional theory'. University of Reading. Dataset. https://doi.org/10.17864/1947.001317

Towers Tompkins, Frances, Matthews, Richard and Lovelock, Kevin (2024): Dataset supporting the article 'Controlling and predicting alkyl-onium electronic structure'. University of Reading. Dataset. https://doi.org/10.17864/1947.001349

Williams, Brendan, Fitzgibbon, Lily and Brady, Daniel (2024): Reversal learning reliability behavioural dataset. University of Reading. Dataset. https://researchdata.reading.ac.uk/id/eprint/1377

Wong, Billy and Fletcher, Lydia (2024): Data supporting a paper on the use of institutional data for statistical matching methods, using an example of enrolment in an optional transition course. University of Reading. Dataset. https://doi.org/10.17864/1947.001336

Zhou, Ruihan (2024): Dataset supporting paper ‘Acute effects of an anthocyanin-rich blackcurrant beverage on markers of cardiovascular disease risk in healthy adults: a randomized, double-blind, placebo-controlled, crossover trial’. University of Reading. Dataset. https://doi.org/10.17864/1947.001321

Zhou, Ruihan and Sharman, Amal (2024): Dataset supporting paper ‘Fish oil supplements, but not oily fish, alter the number and function of extracellular vesicles in healthy human subjects: A randomized, double-blind, placebo-controlled, parallel trial’. University of Reading. Dataset. https://doi.org/10.17864/1947.001350