Supporting datasets for "Complexes formed in collisions between ultracold alkali-metal diatomic molecules and atoms", to be published in New Journal of Physics, DOI: 10.1088/1367-2630/ac3ff8

File qdt_params.out contains the data for Fig. 1 of the paper. The first column is the reduced energy E/\bar{E}. The following columns are in 7 pairs for scattering lengths a/\bar{a}=-3,-1,-0.5,0,0.5,1,3 in order. The first column of each pair shows the function C^{-2}(E), as shown and described in the paper; the second column of each pair shows the function tan\lambda(E), which is not shown or discussed in this paper.

The file reaction_path.out contains data which defines the reaction path used in Fig. 2 of the paper, and the results of the valence-bond model. The columns are, in order:
1. Reaction coordinate \xi, dimensionless
2-4. R_AB, R_BC, R_AC, in Angstroms
5. V^-, in cm^-1
6. V^+, in cm^-1
7. \zeta_A, dimensionless
8. \zeta_B, dimensionless
9. \zeta_C, dimensionless
Quantities are as defined in the paper.

The file reaction_adiabats.out contains data for the hyperfine adiabats shown in Fig. 2 of the paper. The first column is the reaction coordinate \xi, as above, and the following columns contain the hyperfine adiabats in units of MHz.

The folder Resonance_profiles contains the code used to produce Fig. 3 of the paper. The main routine is plot.py and RMT.py contains implementations of the necessary random matrix theory functions. This code is written for and run with Python 2.7.10. This code is provided as is and without further comments or documentation. This routine produces a number of quasi-random realisations of the relevant plots; the routine initialises the random number generator so these are reproducible. 20 example realisations are included as plot_[a]_[b].pdf, where [a] is the number of realisation, and [b] is N_inel as defined in the paper. Fig. 3 in the paper is realisation number 13.