'OptimisationRuns.zip' contains two files for each of the 30 problem instances. One is the attainment gap of 1000 separate iterated local search runs on that instance. The file names for these begin 'ILS' and contain the instance name. The other set of files is the same information but for robust tabu search, and these file names begin with 'TS'. The files contain the obtained fitness after 1000 iterations, as a proportion of the desired (optimum) fitness, with each row being the value for that run. 'ILSLocalOptimaNetworkSamples.zip' contains 90 local optima networks, all sampled using the iterated local search based sampling method. They come as R 'iGraph' objects (a package for modelling complex networks). Although there are 90 files, these are for 30 instances. For each instance, three LONs were generated, with different sampling parameters. The file names indicate these parameter sets. The file names start with the instance name, and follow with one of p2, p3, or p4. P2 means that the ILS perturbation strength was set at n/4 for the construction of that sample; p3 means perturbation was n/2; and p4 means it was set at 3n/4. 'SnowballLocalOptimaNetworkSamples.zip' also contains 90 local optima networks, all sampled using the snowballing sample methodology. They come as R 'iGraph' objects. Similarly to the previous folder, although there are 90 files, these are for 30 instances. For each instance, three LONs were generated, with different sampling parameters. The file names indicate these parameter sets. The file names start with the instance name, and end with one of 'PSET1', 'PSET2', or 'PSET3'. PSET1 means that the sampling parameters (100, 60) were used for the length of walk and depth of snowballing, respectively, for the construction of that sample; PSET2 was made using (400, 30); and PSET3 means they were set at (100, 30).