Items where Year is 2024

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

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://researchdata.reading.ac.uk/id/eprint/1331

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

Challen, Bob, Adair, Lily R. and Cramer, Rainer (2024): Dataset to support 'LAP-MALDI mass spectrometry using a hybrid Orbitrap mass analyzer'. University of Reading. Dataset. https://researchdata.reading.ac.uk/id/eprint/1326

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

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/10.17864/1947.001295

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 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

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

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

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

Williams, Brendan, Fitzgibbon, Lily and Brady, Daniel (2024): Reversal learning reliability behavioural dataset. University of Reading. Dataset. https://researchdata.reading.ac.uk/id/eprint/1307

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