{"data":{"id":"10.6084/m9.figshare.5112991","type":"dois","attributes":{"doi":"10.6084/m9.figshare.5112991","prefix":"10.6084","suffix":"m9.figshare.5112991","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Afik, Eldad","nameType":"Personal","givenName":"Eldad","familyName":"Afik","affiliation":[],"nameIdentifiers":[]},{"name":"Steinberg, Victor","nameType":"Personal","givenName":"Victor","familyName":"Steinberg","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"A Lagrangian approach to elastic turbulence in a curvilinear microfluidic channel"}],"publisher":"figshare","container":{},"publicationYear":2017,"subjects":[{"subject":"29902 Complex Physical Systems","subjectScheme":"FOR"},{"subject":"FOS: Physical sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Physical sciences","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"20303 Fluid Physics","subjectScheme":"FOR"},{"subject":"20405 Soft Condensed Matter","subjectScheme":"FOR"},{"subject":"20304 Thermodynamics and Statistical Physics","subjectScheme":"FOR"},{"subject":"FOS: Mechanical engineering","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Mechanical engineering","subjectScheme":"Fields of Science and Technology (FOS)"}],"contributors":[],"dates":[{"date":"2017-06-15","dateType":"Created"},{"date":"2017-09-07","dateType":"Updated"},{"date":"2017","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":["80740133140 Bytes"],"formats":[],"version":null,"rightsList":[{"rights":"Creative Commons Zero v1.0 Universal","rightsUri":"https://creativecommons.org/publicdomain/zero/1.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc0-1.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"\u003cb\u003eA Lagrangian approach to elastic turbulence in a curvilinear microfluidic channel: \u003cbr\u003eParticle dispersion in a dissipative chaotic flow\u003c/b\u003e\u003cbr\u003e\u003cbr\u003eElastic turbulence, a random in time flow which can drive efficient mixing in microfluidics, serves as a laboratory for non-linear and out-of-equilibrium classical physics. \u003cbr\u003e\u003cbr\u003eThe literature to date shows that previous measurements of elastic turbulence have been limited to two-dimensions. By means of a direct three-dimensional Lagrangian particle tracking technique [1], we have established an experimental database of about 10\u003csup\u003e7\u003c/sup\u003e trajectories derived from passive tracers in elastic turbulence, generated in a curvilinear microfluidic tube.\u003cbr\u003e\u003cbr\u003eThis dataset has allowed us to study the dispersion of pairs in the chaotic flow. It has revealed that the smoothness assumption, which is at the basis of the theoretical frameworks commonly employed in the study of elastic turbulence, breaks at scales far smaller than previously believed, and that \u003ci\u003eballistic pair dispersion\u003c/i\u003e holds over much longer distances than expected. [2]\u003cbr\u003e\u003cbr\u003eThe experimental dataset is made available here as we are certain it would prove useful once applied further analysis, not only as reference to compare with new theoretical, numerical and experimental results, but also in addressing novel basic questions in the field.\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e[1] Afik, E. Robust and highly performant ring detection algorithm for 3d particle tracking using 2d microscope imaging. \u003ci\u003eSci. Rep.\u003c/i\u003e 5, 13584; doi: 10.1038/srep13584 (2015).\u003cbr\u003e\u003cbr\u003e[2] Afik, E. \u0026amp; Steinberg V. On the role of initial velocities in pair dispersion in a microfluidic chaotic flow. \u003ci\u003eNat. Commun.\u003c/i\u003e 8:468; doi: 10.1038/s41467-017-00389-8 (2017). \u003cbr\u003e\u003cbr\u003e************************************************\u003cbr\u003e\u003cbr\u003eThe original file was split using:\u003cbr\u003e\u003cbr\u003e split --number=l/15 ET_Lagrangian_smoothing_splines_all_20130219-20130227.h5 ET_Lagrangian_smoothing_splines_20130219-20130227.h5.\u003cbr\u003e\u003cbr\u003eto merge back can use:\u003cbr\u003e\u003cbr\u003e[UNIX]\u003cbr\u003e\u003cbr\u003e\u003ccode\u003e cat ET_Lagrangian_smoothing_splines_20130219-20130227.h5.a{a..o} \u0026gt; ET_Lagrangian_smoothing_splines_20130219-20130227.h5\u003cbr\u003e\u003cbr\u003e[MS Windows]\u003cbr\u003e\u003cbr\u003e\u003c/code\u003e copy /b ET_Lagrangian_smoothing_splines_20130219-20130227.h5.a* ET_Lagrangian_smoothing_splines_20130219-20130227.h5\u003cbr\u003e\u003cbr\u003eTo confirm integrity of the output file the MD5 checksum value is provided.\u003cbr\u003e\u003cbr\u003e\u003cbr\u003eThe attached Jupyter notebook \u003cbr\u003e `A Lagrangian approach to elastic turbulence -- example notebook.ipynb` \u003cbr\u003eis meant to provide a simple example of how to access information in the dataset; \u003cbr\u003eViTables (by PyTables) is another convenient way to explore the data.\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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