Data from: How to estimate overall population trends when sites show varying population counts over time?

Simulated time series mimic counts of subpopulations over time. Includes 250 time series for each of the 8 scenarios described in the simulation study of the journal article "How to estimate overall population trends when sites show varying population counts over time?". The naming follows the logic: is the overall trend non-linear (FALSE: it is log-linear, TRUE: it is non-linear in a way that cannot be described by log-linearity)? Are there differences in subpopulation development over time (FALSE: no, subpopulations are homogeneous, TRUE: yes, subpopulations are heterogeneous)? Does overdispersion follow a negative-binomial distribution (FALSE: no, it is simulated comparable to quasi-poisson, TRUE: yes, it is negative-binomial and quasi-poisson cannot cover this kind of overdispersion)? For more details, see the article. The data set is created by the code on github.