Please use this identifier to cite or link to this item: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/7186
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dc.contributor.authorSINGH, DIVYAen_US
dc.contributor.authorCHAUDHURY, SRABANTIen_US
dc.date.accessioned2022-06-24T10:42:13Z-
dc.date.available2022-06-24T10:42:13Z-
dc.date.issued2019-08en_US
dc.identifier.citationData in Brief, 25, 104211.en_US
dc.identifier.issn2352-3409en_US
dc.identifier.urihttps://doi.org/10.1016/j.dib.2019.104211en_US
dc.identifier.urihttp://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/7186-
dc.description.abstractWe have compared our theoretical expressions of the normalized reaction velocities with that of simulation data points generated when the substrate fluctuations are present and absent, for the reaction schemes represented in Figure 1 Singh and Chaudhury, 2019 in the general monotonic as well as the conditional non-monotonic limit. We have also constructed the phase diagrams for the schemes given in Figure 1 Singh and Chaudhury, 2019 separating different regimes of the monotonic and the non-monotonic behaviors observed in the reaction rate.en_US
dc.language.isoenen_US
dc.publisherElsevier B.V.en_US
dc.subjectStochastic simulationsen_US
dc.subjectPhase diagramen_US
dc.subject2019en_US
dc.titleStochastic simulations data for figure 1 and the phase diagram construction for defining monotonic and non-monotonic regimes of the velocity as a function of koffen_US
dc.typeArticleen_US
dc.contributor.departmentDept. of Chemistryen_US
dc.identifier.sourcetitleData in Briefen_US
dc.publication.originofpublisherForeignen_US
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