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    Species-specific spatiotemporal abundance for 18 waterfowl species across Canada based on annual species counts of 2,227 aerial-survey segments over a period of 25 years (1990–2015). Combining machine-learning and hierarchical regression modelling, we created maps and spatial data objects (TIF files) of recorded total indicated pairs (TIP), predicted TIP, Gaussian Markov random fields (GMRFs) and conditional predictive ordinates (CPO).