MKT J170456.2−482100: the first transient discovered byMeerKAT

These are the data files required to make Figures 2, 4, 5, 6, 8, 10, 11, and 12 of the manuscript:
https://doi.org/10.1093/mnras/stz3027
 or Open-Access on ArXiv:
https://arxiv.org/abs/1911.07713

The code that uses these files to make the plots can be found here (DOI).

Please make sure to cite these data correctly! The required citations for these data are:

ASAS_data.tsv is ASAS data from their catalogue and therefore are not covered by our licence. If you make use of these data please cite ASAS appropriately according to their guidelines.

KELT_S36_lc_027056_V01_west_tfa.dat and KELT_S36_lc_027057_V01_east_tfa.dat are data sets from KELT and therefore are not covered by our licence. If you make use of these data please cite KELT by citing Pepper et al. 2007.

ASASSN.csv is ASAS-SN data from their catalogue and therefore are not covered by our licence. If you make use of these data please cite ASAS-SN appropriately according to their guidelines (when using ASAS-SN light curves in publications cite: Shappee et al. (2014) and Kochanek et al. (2017)).

TYC_optical_semesters.npy, TYC_optical_binned.npy, and TYC_optical_binned_noOutliers.npy also make use of the above ASAS, KELT, and ASAS-SN. If you use these data please cite ASAS, KELT, and ASAS-SN as above, as well as our work.

TYC_MeerKAT_fluxes.npy and TYC_local_RMS.npy are the data as presented in Table A1 in our manuscript. Therefore, please cite our work if you make use of these data.

TYC_SED_datapoints.txt and TYC_SED_model.txt are the data and model used to make the SED of TYC 8332-2529-1. Please cite our work and the references therein for the datapoints, and our work and McDonald et al. 2012 and McDonald et al. 2017 if you make use of the model.

TYC_MeerKAT_ScaledFlux.npy is presented in Figures 2 and 10 of our manuscript, please cite our work if you make use of these data

SALT_radial_velocities.npy and LCO_radial_velocities.npy are presented in Table 2 of our manuscript, please cite our work if you make use of these data

TYC_LS_periods.npy and TYC_LS_periodErrors.npy are the results of the Lomb-Scargle analysis of the optical observations and are presented in Figure 4 of our manuscript, please cite our work if you make use of these data

More information about the format of these data and how to use them can be found in the GitHub repo (DOI).