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dc.contributor.authorJohansen, Villadsen
dc.contributor.authorCáton, Lauraen
dc.contributor.authorHamidjaja, Raditijoen
dc.contributor.authorOosterink, Elsen
dc.contributor.authorWilts, Bodo Den
dc.contributor.authorRasmussen, Torben Sølbecken
dc.contributor.authorSherlock, Michael Marioen
dc.contributor.authorIngham, Colin Jen
dc.contributor.authorVignolini, Silviaen
dc.date.accessioned2018-02-09T18:00:09Z
dc.date.available2018-02-09T18:00:09Z
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/271880
dc.descriptionThis data supports the publication "Living colours: Genetic manipulation of structural colour in bacterial colonies" and consists of electron microscopy images, a microscope video and goniometer data.en
dc.format*.py files are executed using Python 2.7.x with numpy/matplotlib (pylab)/scipy installed. It has been tested under OS X. With a few modifications (i.e. change print statements) it should be able to run under Python 3.x with similar modules installed. ImageJ (https://imagej.nih.gov/ij/download.html) was used for measuring sizes for the size histograms of the SEMs. The file "how_to_measure.txt" explains how to do this in more detail. The raw goniometer data(*.mat) is in HDF5 format and saved from matlab (mathworks.com), but the actual post processing is in our case done in Python. Any HDF5 viewer should be able to read the data. We recommend VLC for playing back the movie (www.videolan.org).en
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/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.subjectphotonicsen
dc.subjectmicrobiologyen
dc.subjectstructural colouren
dc.titleResearch data supporting "Genetic manipulation of structural colour in bacterial colonies"en
dc.typeDataset
dc.identifier.doi10.17863/CAM.16794
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/en
datacite.contributor.supervisorVignolini, Silvia
dcterms.formatzip,py,txt,tif,png,pdf,xls,maten
dc.contributor.orcidJohansen, Villads [0000-0001-5921-7237]
dc.contributor.orcidVignolini, Silvia [0000-0003-0664-1418]
rioxxterms.typeOtheren
pubs.funder-project-idEuropean Research Council (639088)
pubs.funder-project-idBiotechnology and Biological Sciences Research Council (BB/K014617/1)
pubs.funder-project-idEuropean Commission Horizon 2020 (H2020) Marie Sk?odowska-Curie actions (701455)
datacite.issupplementto.doi10.1073/pnas.1716214115en


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