Browse by Funders

Dataset

Alkan, Matthew Kaan (2021): Data in support of the thesis: Exploring the mechanistic rationale of plant-pollinator communication disruption by ozone. University of Reading. Dataset. https://doi.org/10.17864/1947.000337

Atsawawaranunt, Kamolphat, Harrison, Sandy and Comas Bru, Laia (2018): SISAL (Speleothem Isotopes Synthesis and AnaLysis Working Group) database Version 1.0. University of Reading. Dataset. https://doi.org/10.17864/1947.139

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

Barnard, Luke, Harrison, Giles and Portas, Antonio (2016): The National Eclipse Weather Experiment Observations. University of Reading. Dataset. https://doi.org/10.17864/1947.68

Bateson, Adam (2021): Simulations of the Arctic sea ice comparing different approaches to modelling the floe size distribution and their respective impacts on the sea ice cover. University of Reading. Dataset. https://doi.org/10.17864/1947.300

Bateson, Adam (2019): Simulations with the sea ice model CICE investigating the impact of sea ice floe size distribution on seasonal Arctic sea ice retreat. University of Reading. Dataset. https://doi.org/10.17864/1947.223

Bentley, Sarah (2019): A probabilistic, empirical model of magnetospheric ultra-low frequency wave power. University of Reading. Dataset. https://doi.org/10.17864/1947.190

Buzzard, Samantha (2017): A Mathematical Model of Melt Lake Formation on an Ice Shelf. University of Reading. Software. https://doi.org/10.17864/1947.121

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

Cleator, Sean, Harrison, Sandy, Nichols, Nancy, Prentice, Iain Colin and Roulstone, Ian (2020): A new multi-variable benchmark for Last Glacial Maximum climate simulations. University of Reading. Dataset. https://doi.org/10.17864/1947.244

Comas-Bru, Laia, Atsawawaranunt, Kamolphat, Harrison, Sandy and SISAL working group members (2020): SISAL (Speleothem Isotopes Synthesis and AnaLysis Working Group) database version 2.0. University of Reading. Dataset. https://doi.org/10.17864/1947.256

Craig, Philip (2023): Back trajectories released from ocean catchment boundaries. University of Reading. Dataset. https://doi.org/10.17864/1947.000461

Craig, Philip (2019): Catchment boundaries of ocean drainage basins. University of Reading. Dataset. https://doi.org/10.17864/1947.195

Crowson, Merry (2023): Data on the presence or absence of at least one geotagged Wikipedia page and/or Flickr photo, for designated areas in England. University of Reading. Dataset. https://doi.org/10.17864/1947.000516

Deng, Jie (2019): Data for 'Infrared radiative performance of urban trees: spatial distribution and interspecific comparison among ten species in the UK by in-situ spectroscopy'. University of Reading. Dataset. https://doi.org/10.17864/1947.231

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

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

Garratt, Michael, Fountain, Michelle T, McKerchar, Megan and Webber, Sean M (2016): Valuing insect pollinators for UK apple production. University of Reading. Dataset. https://doi.org/10.17864/1947.50

Garratt, Michael, O'Connor, Rory, Potts, Simon, Webber, Sean, Andersson, Georg, Garibaldi, Lucas, Bernauer, Olivia, Blitzer, Eleanor, Boreux, Virginie, Klein, Alex, Pufal, Gesine, Roquer-Beni, Laura, Bosch, Jordi, Campbell, Alistair, Wäckers, Felix, de Groot, Arjen, Kirkitadze, Giorgi, Japoshvili, George, Kovács-Hostyánszki, Aniko, Földesi, Rita, Martins, Kyle, Miñarro, Marcos, García, Daniel, Paxton, Robert, Zhusupbaeva, Aigul, Scott, Lorraine, Radzeviciute, Rita, Samnegård, Ulrika, Hambäck, Peter and Vereecken, Nicolas (2021): Apple fruit set and quality under contrasting pollination treatments for multiple apple varieties from multiple countries. University of Reading. Dataset. https://doi.org/10.17864/1947.314

Grimmond, Sue, Lindberg, Fredrik, Allen, Lucy, Yogeswaran, N and Kotthaus, Simone (2018): LUCY: Large scale Urban Consumption of Energy. University of Reading. Software. https://doi.org/10.17864/1947.149

Gu, Jian-Feng, Plant, Bob, Holloway, Chris and Muetzelfeldt, Mark (2020): Data supporting 'Pressure drag for shallow cumulus clouds: from thermals to cloud ensemble'. University of Reading. Dataset. https://doi.org/10.17864/1947.259

Harrison, Giles, Marlton, Graeme, Nicoll, Keri, Airey, Martin and Williams, Paul (2017): Supplementary data for Note: A self-calibrating wide range balloon electrometer. University of Reading. Dataset. https://doi.org/10.17864/1947.127

Harrison, Sandy (2017): BIOME 6000 DB classified plotfile version 1. University of Reading. Dataset. https://doi.org/10.17864/1947.99

Harrison, Sandy and Marinova, Elena (2017): EMBSeCBIO modern pollen biomisation. University of Reading. Dataset. https://doi.org/10.17864/1947.109

Harvey, Natalie and Cooke, Michael (2020): Outputs from a volcanic ash transport and dispersion model (NAME), source inversion system (InTEM) and SEVIRI satellite retrievals for the 2011 Grímsvötn eruption. University of Reading. Dataset. https://doi.org/10.17864/1947.260

Harvey, Natalie and Dacre, Helen (2018): Outputs from a multi-level emulation of a volcanic ash transport and dispersion model to quantify sensitivity to uncertain parameters. University of Reading. Dataset. https://doi.org/10.17864/1947.134

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

Harvey, Natalie and Saint, Cameron (2021): Outputs from a volcanic ash transport and dispersion model (NAME), source inversion system (InTEM) and Himawari satellite retrievals for the 2019 Raikoke eruption. University of Reading. Dataset. https://doi.org/10.17864/1947.000335

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

Johnston, Alice (2017): Input, validation and output data for the mechanistic earthworm (Lumbricus terrestris) population model, EEEworm. University of Reading. Dataset. https://doi.org/10.17864/1947.133

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

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

Liu, Chunlei and Allan, Richard (2017): Reconstructions of the radiation fluxes at top of atmosphere and net surface energy flux in the period 1985-2015 from DEEP-C project. University of Reading. Dataset. https://doi.org/10.17864/1947.111

Melia, Nathanael (2015): Improved Arctic sea ice thickness projections using bias corrected CMIP5 simulations. University of Reading. Dataset. https://doi.org/10.17864/1947.9

Miller, Caleb and Harrison, Giles (2023): Measurements from the Reading University Atmospheric Observatory, 1997-2023. University of Reading. Dataset. https://doi.org/10.17864/1947.000490

Moreton, Sophia and Roberts, Malcolm (2021): An eddy tracking dataset for N512-12, N216-12 and N216-025 model configurations of HadGEM3-GC3.1. University of Reading. Dataset. https://doi.org/10.17864/1947.283

Mulder, Kelsey, Charlton-Perez, Andrew, Black, Alison and McCloy, Rachel (2016): Interviews of Experts in Decision Making: Robust Assessment and Communication of Environmental Risk (RACER). University of Reading. Dataset. https://doi.org/10.17864/1947.86

Mulder, Kelsey, Charlton-Perez, Andrew, Black, Alison, McCloy, Rachel and Lickiss, Matthew (2016): Volcanic Ash Workshop Survey Results. University of Reading. Dataset. https://doi.org/10.17864/1947.62

Mulder, Kelsey, Lickiss, Matthew, Black, Alison, Charlton-Perez, Andrew and McCloy, Rachel (2018): Vegetable Shipping Line Graph Testing Survey. University of Reading. Dataset. https://doi.org/10.17864/1947.107

Mulder, Kelsey, Williams, Louis, Lickiss, Matthew, Black, Alison, Charlton-Perez, Andrew, McCloy, Rachel and McSorley, Eugene (2018): Eye Tracking of Vegetable Shipping Line Graph Testing Survey. University of Reading. Dataset. https://doi.org/10.17864/1947.110

Nicoll, Keri, Airey, Martin, Harrison, Giles, Marlton, Graeme and Williams, Paul (2018): Supplementary data for "First observations of gaseous volcanic plume electrification: a new source of charge for volcanic lightning". University of Reading. Dataset. https://doi.org/10.17864/1947.154

Nicoll, Keri and Harrison, Giles (2022): Cloud electricity measurements over Halley, Antarctica. University of Reading. Dataset. https://doi.org/10.17864/1947.000420

Nicoll, Keri and Harrison, Giles (2016): Observed variability in charging of stratiform cloud edges. University of Reading. Dataset. https://doi.org/10.17864/1947.38

Prata, Andrew, Dacre, Helen, Klingaman, Emma and Shine, Keith (2018): Ash dosage and concentration risk dataset. University of Reading. Dataset. https://doi.org/10.17864/1947.179

Rolph, Rebecca, Feltham, Danny and Schroeder, David (2020): Sea ice concentration data produced from a simulation with the sea ice model CICE-CPOM-2019, including a prognostic floe size distribution model to study the Marginal Ice Zone. University of Reading. Dataset. https://doi.org/10.17864/1947.253

Schroeder, David (2018): Simulations with the sea ice model CICE documenting the impact of improved sea ice physics. University of Reading. Dataset. https://doi.org/10.17864/1947.187

Stewart, Kerry (2023): Data supporting the article 'Functional diversity metrics can perform well with highly incomplete datasets'. University of Reading. Dataset. https://doi.org/10.17864/1947.000481

Toll, Velle and Bellouin, Nicolas (2019): Polluted cloud tracks detected in MODIS satellite images. University of Reading. Dataset. https://doi.org/10.17864/1947.208

Watt, Clare, Allison, Hayley, Glauert, Sarah and Meredith, Nigel (2019): PADIE diffusion coefficients for plasmaspheric hiss. University of Reading. Dataset. https://doi.org/10.17864/1947.212

Webber, Chris (2018): The synoptic meteorology driving the UK’s largest pollution episodes. University of Reading. Dataset. https://doi.org/10.17864/1947.175

Westbrook, Chris (2017): Radar data in mixed-phase case studies. University of Reading. Dataset. https://doi.org/10.17864/1947.119

Woden, Ben (2018): Raw and processed neutron reflectometry and infrared spectroscopy data for oxidation of galactocerebroside monolayers. University of Reading. Dataset. https://doi.org/10.17864/1947.178

Young, Matthew, Heinrich, Viola and Black, Emily (2020): Skillful spatial scales and representativity of seasonal rainfall forecasts over Africa. University of Reading. Dataset. https://doi.org/10.17864/1947.252