University of Reading Research Data Archive

Items where Year is 2020

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Number of items: 20.

A

Anugerahanti, Prima (2020): Model output for perturbed biology and physics signatures in a 1-D ocean biogeochemical model ensemble. University of Reading. Dataset. http://dx.doi.org/10.17864/1947.257

B

Bloomfield, Hannah, Brayshaw, David and Charlton-Perez, Andrew (2020): MERRA2 derived time series of European country-aggregate electricity demand, wind power generation and solar power generation. University of Reading. Dataset. http://dx.doi.org/10.17864/1947.239

C

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. http://dx.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. http://dx.doi.org/10.17864/1947.256

D

De Maria, Marcello (2020): Implementation of Large-Scale Land Acquisitions (LSLAs) projects and the role of institutions. University of Reading. Dataset. http://dx.doi.org/10.17864/1947.243

F

Fisher, Sarah (2020): Equivalence in risky-choice framing. University of Reading. Dataset. http://dx.doi.org/10.17864/1947.245

G

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://researchdata.reading.ac.uk/id/eprint/259

H

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. http://dx.doi.org/10.17864/1947.260

N

Needs, Sarah (2020): Data associated with the article ‘Remote videolink observation of model home sampling and home testing devices to simplify usability studies for point-of-care diagnostics’. University of Reading. Dataset. http://dx.doi.org/10.17864/1947.254

Nicoll, Keri, Harrison, Giles, Marlton, Graeme and Airey, Martin (2020): Dataset for 'Consistent dust electrification from Arabian Gulf sea breezes'. University of Reading. Dataset. http://dx.doi.org/10.17864/1947.246

P

Patra, Abhijeet, Bose, Arpita and Marinis, Theo (2020): Semantic context effects in Bengali-English bilingual and English monolingual speakers. University of Reading. Dataset. http://dx.doi.org/10.17864/1947.251

Piras, Cristian and Cramer, Rainer (2020): MALDI MS-based analysis of Puccinia komarovii var. glanduliferae-infected Impatiens glandulifera leaves. University of Reading. Dataset. https://researchdata.reading.ac.uk/id/eprint/238

Piras, Cristian and Cramer, Rainer (2020): Rapid liquid AP-MALDI MS profiling of lipids and proteins from goat and sheep milk for speciation and colostrum analysis. University of Reading. Dataset. http://dx.doi.org/10.17864/1947.247

Piras, Cristian and Cramer, Rainer (2020): Speciation and adulteration analysis of milk by liquid AP-MALDI MS profiling. University of Reading. Dataset. https://researchdata.reading.ac.uk/id/eprint/232

R

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. http://dx.doi.org/10.17864/1947.253

S

Shine, Keith and Myhre, Gunnar (2020): Improved method for rapid calculation of halocarbon radiative forcing. University of Reading. Dataset. http://dx.doi.org/10.17864/1947.240

T

Thompson, Rhys (2020): Accounting for variability in ULF wave radial diffusion models - numerical experiment results. University of Reading. Dataset. http://dx.doi.org/10.17864/1947.248

Thompson, Rhys and Morley, Steven (2020): Pro-L*: probabilistic hourly L* values, with associated McIlwain Lm, magnetic field intensity B, and Cartesian coordinates for 7 global magnetic field models in the Northern Hemisphere in the period 2006-2016. University of Reading. Dataset. http://dx.doi.org/10.17864/1947.222

W

Whitaker, Katy A. (2020): Sarsen Stones in Wessex. University of Reading. Dataset. http://dx.doi.org/10.17864/1947.249

Y

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

This list was generated on Thu Sep 24 05:15:25 2020 BST.