Items where Year is 2024

A

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

C

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

F

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

H

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

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

J

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

S

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

T

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

W

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