The dataset contains the source code for computational models of a gene network controlling transition to flowering in pea (Pisum sativum). The models were based on ordinary differential equations (ODE) or neural networks. It also includes data on the expression dynamics of genes involved in the network, which was used for model fitting. The expression data was extracted from the following papers: Hecht, V., Laurie, R. E., Schoor, K. Vander, Ridge, S., Knowles, C. L., Liew, L. C., Sussmilch, F. C., et al. (2011). The Pea GIGAS Gene Is a FLOWERING LOCUS T Homolog Necessary for Graft-Transmissible Specification of Flowering but Not for Responsiveness to Photoperiod. 23, 147–161. doi:10.1105/tpc.110.081042 Sussmilch, F. C., Berbel, A., Hecht, V., Schoor, K. Vander, Ferrándiz, C., Madueño, F., et al. (2015). Pea VEGETATIVE2 Is an FD Homolog That Is Essential for Flowering and Compound In fl orescence Development. 27, 1046–1060. doi:10.1105/tpc.115.136150 The source code of the DEEP software used for parameter optimization in the model fitting can be found in the Gitlab repository (https://gitlab.com/mackoel/deepmethod/-/tree/master). The files are the supplement to the following manuscript, submitted to Frontiers in Genetics: "Dynamical Modeling of the Core Gene Network Controlling Transition to Flowering in Pisum sativum" by Polina Pavlinova, Maria G. Samsonova, and Vitaly V. Gursky. All possible questions can be sent to: Polina Pavlinova (polina.pavlina1004@gmail.com), Vitaly Gursky (gursky@math.ioffe.ru).