15,995 Works

Genetic and social trait data for a 'clinical' UK sample and a 'non-caucasian' UK sample

Eiluned Pearce, Rafael Wlodarski & Anna Machin
Data collected from UK population at science festivals and a museum to look at the genetics underpinning human social behaviour and cognition.

MS Data Manuscript, EDs, SI Figures

Maria Alexandra Gafitescu

Nucleus accumbens core dopamine during Go-NoGo task

EC Syed, LL Grima, PJ Magill, R Bogacz, P Brown & ME Walton

Elephant Expedition - Subset of data

Anabelle Williamson Cardoso

Data acquired to demonstrate model-based Bayesian inference of brain oxygenation using quantitative BOLD

Matthew Cherukara, Alan Stone, Michael Chappell & Nicholas Blockley

Unexplained Death in Infancy by deprivation and ethnicity

Mary E Kroll
The final paper can be viewed at: http://dx.doi.org/10.1136/jech-2018-210453 We report a nearly five-fold disparity in risk of Unexplained Death in Infancy (UDI) across ethnic groups in England and Wales, and demonstrate that this disparity is not explained by deprivation. Formal adjustment for deprivation (IMD quintiles) does not even slightly reduce the ethnic variation (see Table 2 of the cited paper). A simple scatter plot of ethnic groups illustrates the lack of a relationship between deprivation...

Dataset1 Flexoelectro-optic liquid crystal analog phase-only modulator with a 2𝜋 range and 1kHz switching

Julian Fells, Xiuze Wang, Steve Elston, Chris Welch, Georg Mehl, Martin Booth & Stephen Morris

Exploring the prediction of emotional valence and pharmacologic effect across fMRI studies of antidepressants.

Daniel Barron
Background. Clinically approved antidepressants modulate the brain’s emotional valence circuits, suggesting that the response of these circuits could serve as a biomarker for screening candidate antidepressant drugs. However, it is necessary that these modulations can be reliably detected. Here, we apply a cross-validated predictive model to classify emotional valence and pharmacologic effect across eleven task-based fMRI datasets (n=306) exploring the effect of antidepressant administration on emotional face processing. Methods. We created subject-level contrast of parameter...

Digital preservation at Oxford and Cambridge training needs assessment toolkit

Sarah Mason
This training needs assessment toolkit contains the research and full toolkit created as part of the Digital Preservation at Oxford and Cambridge (DPOC) Project, which ran from July 2016 to December 2018. It was funded by the Polonsky Foundation. The toolkit was designed to support the development of the DPOC Training Programme Pilot by understanding current skills gaps.

The magnetic structures of rare-earth quadruple perovskite manganites RMn7O12: Data archive

Roger Johnson, DD Khalyavin, P Manuel, L Zhang, K Yamaura & AA Belik

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    15,994

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