Research data supporting "Genetic manipulation of structural colour in bacterial colonies"

Johansen, Villads; Cáton, Laura; Hamidjaja, Raditijo; Oosterink, Els; Wilts, Bodo D; Rasmussen, Torben Sølbeck; Sherlock, Michael Mario; Ingham, Colin J; Vignolini, Silvia

dc.contributor.author	Johansen, Villads	en
dc.contributor.author	Cáton, Laura	en
dc.contributor.author	Hamidjaja, Raditijo	en
dc.contributor.author	Oosterink, Els	en
dc.contributor.author	Wilts, Bodo D	en
dc.contributor.author	Rasmussen, Torben Sølbeck	en
dc.contributor.author	Sherlock, Michael Mario	en
dc.contributor.author	Ingham, Colin J	en
dc.contributor.author	Vignolini, Silvia	en
dc.date.accessioned	2018-02-09T18:00:09Z
dc.date.available	2018-02-09T18:00:09Z
dc.identifier.uri	https://www.repository.cam.ac.uk/handle/1810/271880
dc.description	This 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.rights	Attribution 4.0 International	en
dc.rights	Attribution 4.0 International	en
dc.rights	Attribution 4.0 International	en
dc.rights	Attribution 4.0 International	en
dc.rights	Attribution 4.0 International	en
dc.rights	Attribution 4.0 International	en
dc.rights	Attribution 4.0 International	en
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/	en
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/	en
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/	en
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/	en
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/	en
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/	en
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/	en
dc.subject	photonics	en
dc.subject	microbiology	en
dc.subject	structural colour	en
dc.title	Research data supporting "Genetic manipulation of structural colour in bacterial colonies"	en
dc.type	Dataset
dc.identifier.doi	10.17863/CAM.16794
rioxxterms.licenseref.uri	http://creativecommons.org/licenses/by/4.0/	en
datacite.contributor.supervisor	Vignolini, Silvia
dcterms.format	zip,py,txt,tif,png,pdf,xls,mat	en
dc.contributor.orcid	Johansen, Villads [0000-0001-5921-7237]
dc.contributor.orcid	Vignolini, Silvia [0000-0003-0664-1418]
rioxxterms.type	Other	en
pubs.funder-project-id	European Research Council (639088)
pubs.funder-project-id	Biotechnology and Biological Sciences Research Council (BB/K014617/1)
pubs.funder-project-id	European Commission Horizon 2020 (H2020) Marie Sk?odowska-Curie actions (701455)
datacite.issupplementto.doi	10.1073/pnas.1716214115	en