Data for: Occupancy–detection models with museum specimen data: Promise and pitfalls

Vaughn Shirey, Rassim Khelifa, Leithen M'Gonigle & Laura Melissa Guzman
Historical museum records provide potentially useful data for identifying drivers of change in species occupancy. However, because museum records are typically obtained via many collection methods, methodological developments are needed in order to enable robust inferences. Occupancy-detection models, a relatively new and powerful suite of statistical methods, are a potentially promising avenue because they can account for changes in collection effort through space and time. We use simulated datasets to identify how and when patterns...
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