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dc.contributor.authorSchmidt, Ericen
dc.contributor.authorFowler, Andrewen
dc.contributor.authorElliott, Jamesen
dc.contributor.authorBristowe, Paulen
dc.date.accessioned2018-03-20T11:52:09Z
dc.date.available2018-03-20T11:52:09Z
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/274113
dc.descriptionThe data for the reconstruction of the images shown in the paper is contained in *.pckl files. These files were created using Python's pickle module: https://docs.python.org/3.5/library/pickle.htmlen
dc.formatIn order to use the provided files Python and the pickle module are required. The regression were done using the Python module PottyTrainer developed for this paper and also linked in the paper.en
dc.rightsAttribution-ShareAlike 4.0 Internationalen
dc.rightsAttribution 4.0 Internationalen
dc.rightsAttribution 4.0 Internationalen
dc.rightsAttribution 4.0 Internationalen
dc.rightsAttribution 4.0 Internationalen
dc.rightsAttribution 4.0 Internationalen
dc.rightsAttribution 4.0 Internationalen
dc.rightsAttribution 4.0 Internationalen
dc.rightsAttribution 4.0 Internationalen
dc.rightsAttribution 4.0 Internationalen
dc.rightsAttribution 4.0 Internationalen
dc.rightsAttribution 4.0 Internationalen
dc.rightsAttribution 4.0 Internationalen
dc.rightsAttribution 4.0 Internationalen
dc.rightsAttribution 4.0 Internationalen
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0/en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectEmbedded Atom Methoden
dc.subjectBayesen
dc.subjectLinear Regressionen
dc.subjectDensity Functional Theoryen
dc.subjectRegression dataen
dc.titleResearch data supporting "Learning Models for Electron Densities with Bayesian Regression"en
dc.typeDataset
dc.identifier.doi10.17863/CAM.14349
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/en
datacite.contributor.supervisorBristowe, Paul David
dcterms.formattxt, pckl, zipen
dc.contributor.orcidFowler, Andrew [0000-0002-7360-3078]
dc.contributor.orcidElliott, James [0000-0002-4887-6250]
dc.contributor.orcidBristowe, Paul [0000-0002-3153-1387]
rioxxterms.typeOtheren
pubs.funder-project-idEPSRC (1369467)
pubs.funder-project-idEPSRC (EP/L015552/1)
datacite.issupplementto.doi10.1016/j.commatsci.2018.03.029en
datacite.issupplementto.urlhttps://www.repository.cam.ac.uk/handle/1810/276536


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Except where otherwise noted, this item's licence is described as Attribution-ShareAlike 4.0 International