Items where Year is 2023

A

Adair, Lily R. and Cramer, Rainer (2023): Dataset to support improved peptide and protein database search scores in chimeric MS/MS spectra. University of Reading. Dataset. https://doi.org/10.17864/1947.000476

Alkamali, Ahmad, Ambaum, Maarten and Nicoll, Keri (2023): Dataset for 'Electrical measurements during fog in the United Arab Emirates'. University of Reading. Dataset. https://doi.org/10.17864/1947.000501

Austin, Jessica (2023): Avocado supply chain dataset. University of Reading. Dataset. https://doi.org/10.17864/1947.000434

Austin, Jessica (2023): Weather and grower dataset. University of Reading. Dataset. https://doi.org/10.17864/1947.000436

Ayres, Holly, Park, Wonsun and Kjellsson, Joakim (2023): Data from polynya models for paper 'The atmospheric response to the Weddell Sea Polynya and its resolution dependence in three Atmospheric General Circulation Models'. University of Reading. Dataset. https://doi.org/10.17864/1947.000487

B

Bell, Luke (2023): Eruca vesicaria subsp. sativa RNA-SEQ gene expression and annotation. University of Reading. Dataset. https://doi.org/10.17864/1947.000458

Blagrove, I.S.G. (2023): A life history study of the factors that influence the acceptance or rejection of the Big Bang theory and theory of biological evolution among lifelong learners. 20 interview transcripts. University of Reading. Dataset. https://doi.org/10.17864/1947.000447

C

Cafiero, Mauricio and Harle, Joshua (2023): Dataset for an ab initio study of the selectivity of dopamine and other ligands for various dopamine-related enzymes. University of Reading. Dataset. https://doi.org/10.17864/1947.000459

Cafiero, Mauricio and Harle, Joshua (2023): Dataset supporting the article 'Evaluation of empirical-dispersion-corrected, range-separated, double hybrid, and Meta-GGA density functional theory methods for interactions important in catecholic ligand/protein binding'. University of Reading. Dataset. https://doi.org/10.17864/1947.000484

Cafiero, Mauricio and Schulze, Charlotte (2023): Dataset supporting the article 'Pairwise additivity and three-body contributions for Density Functional Theory-based protein-ligand binding energies'. University of Reading. Dataset. https://doi.org/10.17864/1947.000511

Callus, T. and Danbury, C. (2023): Decision-making in intensive care: the role of relatives. University of Reading. Dataset. https://doi.org/10.17864/1947.000502

Challen, Bob and Cramer, Rainer (2023): Data supporting 'Ultrahigh-throughput and low-volume analysis of intact proteins with LAP-MALDI MS'. University of Reading. Dataset. https://doi.org/10.17864/1947.000456

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

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

D

Daneshzand, Farzaneh (2023): Electric Vehicle smart charging simulation and dispatch - code and configuration data. University of Reading. Software. https://doi.org/10.17864/1947.000444

Dhandapani, Selva, Pakkirisamy, Manikandan, Rajaraman, Ranjith, Garratt, Michael, Potts, Simon, Raj, Rengalakshmi, Subramanian, Malarvannan and Senapathi, Deepa (2023): Flower visitor, pod productivity and pod quality data from Moringa plantations with floral interventions and control. University of Reading. Dataset. https://doi.org/10.17864/1947.000508

de Boon, Auvikki (2023): Perceptions of just agricultural transitions in England,2022. University of Reading. Dataset. https://doi.org/10.17864/1947.000413

F

Falshaw, Edward (2023): One-to-one Chromebook technology and student engagement in the independent secondary school classroom: a case study. University of Reading. Dataset. https://doi.org/10.17864/1947.000471

G

Geher-Herczegh, Tunde (2023): Time-lapse imaging datasets of Belousov-Zhabotinsky self-oscillating hydrogels under cyclic mechanical compressions. University of Reading. Dataset. https://doi.org/10.17864/1947.000467

Graham, Suzanne and Zhang, Pengchong (2023): Second language vocabulary learning outcomes from different text types and teaching approaches. University of Reading. Dataset. https://doi.org/10.17864/1947.000462

H

Harrison, Giles (2023): Eskdalemuir ion measurements 1909-1916. University of Reading. Dataset. https://doi.org/10.17864/1947.000523

Harrison, Giles and Burt, Stephen (2023): Air temperature measurements in different thermometer screens. University of Reading. Dataset. https://doi.org/10.17864/1947.000465

Harrison, Giles, Nicoll, Keri and Mkrtchyan, Hripsime (2023): Eskdalemuir Observatory monthly mean Potential Gradient 1911-1981. University of Reading. Dataset. https://doi.org/10.17864/1947.000506

Harrison, Giles, Nicoll, Keri and Mkrtchyan, Hripsime (2023): Lerwick Observatory monthly mean Potential Gradient 1925-1984. University of Reading. Dataset. https://doi.org/10.17864/1947.000505

Harrison, Giles and Schlegel, Kristian (2023): Atmospheric electricity data from the Bavarian Alps 1972-1983. University of Reading. Dataset. https://doi.org/10.17864/1947.000445

Hossain, Syeda Marjia (2023): Semi-structured interview data on valuers' perception of sustainability in the UK commercial property market. University of Reading. Dataset. https://doi.org/10.17864/1947.000497

Hossain, Syeda Marjia (2023): Survey on valuers' perceptions of sustainability in the UK commercial property market. University of Reading. Dataset. https://doi.org/10.17864/1947.000493

J

Jackson, Peter (2023): Dataset supporting '2’fuscosyllactose – A deeper dive into responder/non-responder status. A follow-up to the result from the EFFICAD trial'. University of Reading. Dataset. https://doi.org/10.17864/1947.000510

Jackson, Peter (2023): Dataset supporting 'Effects of food matrix on the prebiotic efficacy of inulin-type fructans: a randomised trial'. University of Reading. Dataset. https://doi.org/10.17864/1947.000500

Jackson, Peter (2023): Dataset supporting 'Inulin-type fructans and 2'fucosyllactose alter both microbial composition and appear to alleviate stress-induced mood state in a working population compared to placebo (maltodextrin): the EFFICAD Trial, a randomized, controlled trial'. University of Reading. Dataset. https://doi.org/10.17864/1947.000509

James, Daniel (2023): Data set for in vitro investigation into high protein diets on microbiota composition and metabolic output. University of Reading. Dataset. https://doi.org/10.17864/1947.000504

James, Lauren, Harvey, Natalie and Dacre, Helen (2023): Outputs from a volcanic ash transport and dispersion model (NAME) for the 2019 Raikoke eruption. University of Reading. Dataset. https://doi.org/10.17864/1947.000519

K

Kampa, Jansuda and Rodriguez-Garcia, Julia (2023): Data used in the article 'Effect of fat replacement with HPMC and lecithin stabilised nanoemulsion on the physical characteristics and sensory attributes of short dough biscuits'. University of Reading. Dataset. https://doi.org/10.17864/1947.000442

Kinneen, Lois, Córdoba Suarez, Eric, Ramos-Pastrana, Yardany and Garratt, Michael (2023): Invertebrate data from malaise traps and sweep transects according to habitat type on farms in Caquetá, Colombia. University of Reading. Dataset. https://doi.org/10.17864/1947.000494

Krenkel, Henriette (2023): Dataset supporting 'The use of salts, buffers and surfactants in LAP-MALDI MS'. University of Reading. Dataset. https://doi.org/10.17864/1947.000464

L

Luberti, Matteo (2023): Supplementary materials for the thesis 'Investigating durable resistance to Phytophthora cactorum in strawberry and apple'. University of Reading. Dataset. https://doi.org/10.17864/1947.000460

M

Mairs, Rachel (2023): Data supporting 'Arabic Dialogues: Phrasebooks and the Learning of Colloquial Arabic 1798-1945' (Rachel Mairs, UCL Press). University of Reading. Dataset. https://doi.org/10.17864/1947.000469

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

P

Prizeman, Katie (2023): Data supporting 'Stigma and its impact on disclosure and mental health secrecy in young people with clinical depression symptoms: a qualitative analysis'. University of Reading. Dataset. https://doi.org/10.17864/1947.000517

Prizeman, Katie (2023): Data supporting 'Stigma predicts mental health secrecy, (non)/disclosure, and loneliness in young people with major depressive disorder (MDD) symptoms: results of a multi-wave analysis'. University of Reading. Dataset. https://doi.org/10.17864/1947.000520

R

Reeves, Laura (2023): Functional and behavioural response data of the anthocorid Anthocoris nemoralis to Cacopsylla pyri, at different temperatures, Kent, UK. University of Reading. Dataset. https://doi.org/10.17864/1947.000482

Roy, Shovonlal (2023): Computer code for 'Ecological determinants of Cope's rule and its inverse'. University of Reading. Software. https://doi.org/10.17864/1947.000491

S

Sanz Morales, Patricia (2023): Dataset supporting the article 'Fermentation of human milk oligosaccharides using faecal microbiota from healthy and Irritable Bowel Syndrome donors using in vitro batch cultures'. University of Reading. Dataset. https://doi.org/10.17864/1947.000507

Shepperd, Sarah (2023): Soil invertebrate and mycorrhizal activity in diverse grasslands: benefits for ecosystem service provision - PhD thesis dataset. University of Reading. Dataset. https://doi.org/10.17864/1947.000514

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

Stojanovik, Vesna, Sampson, Sarah, Sutton, Rachel and Pagnamenta, Emma (2023): Evaluating an early social communication intervention for young children with Down Syndrome: a feasibility study (ASCEND). University of Reading. Dataset. https://doi.org/10.17864/1947.000470

V

Vandaele, Remy (2023): Trash screen blockage detection using cameras and deep learning: code and dataset. University of Reading. Dataset. https://doi.org/10.17864/1947.000498

W

Williams, Brendan, Hedger, Nicholas, McNabb, Carolyn and Rossetti, Gabriella (2023): Inter-rater reliability of functional MRI data quality control assessments dataset. University of Reading. Dataset. https://doi.org/10.17864/1947.000424

Wyver, Chris (2023): Dataset and R Code supporting results from 'Biological traits predict ability of British wild bees to occupy their climate envelopes'. University of Reading. Dataset. https://doi.org/10.17864/1947.000522

Wyver, Chris (2023): Dataset and R code supporting results from 'Spatio-temporal shifts in British wild bees in response to changing climate'. University of Reading. Dataset. https://doi.org/10.17864/1947.000485

Wyver, Chris (2023): Dataset supporting the article 'Climate-driven phenological shifts in emergence dates of British bees'. University of Reading. Dataset. https://doi.org/10.17864/1947.000477

Wyver, Chris (2023): Datasets and R Code supporting results from 'New Citizen Science initiative reveals impact of climate on fruit tree blossom patterns in Great Britain'. University of Reading. Dataset. https://doi.org/10.17864/1947.000524

Z

Zhou, Ruihan and Bozbas, Esra (2023): Dataset supporting paper 'Dietary n-3 polyunsaturated fatty acids alter the number, fatty acid profile and coagulatory activity of circulating and platelet-derived extracellular vesicles'. University of Reading. Dataset. https://doi.org/10.17864/1947.000513