Snow plays a critical role in cold-region environments, from climate regulation to water storage and from spring freshet to ecosystem services. However, quantification of snow accumulation and redistribution across spatio-temporal scales is challenging, especially in high-latitude regions, owing to limited data, non-uniform snowfall, topographic attributes, wind redistribution, and interception and sublimation by vegetation. This study presents a synthesis of snow data from manual snow surveys conducted from 2009 to 2024 across four small watersheds in high-latitude boreal plains of northern Alberta in Canada. Various snow properties, including depth, density and snow water equivalent (SWE) across different watersheds and land cover types (i.e., Open, Flat Low Lying, Coniferous and Mixed Deciduous) are discussed. The dataset reveals a considerable variability in snow properties across different land cover types, which highlights the importance of conducting snow surveys across landscapes. The comparison of field-based SWE with simulated SWE shows large biases in simulated SWE, further emphasizing the significance of in-situ measurements. Finally, different watershed-scale drivers and controls of snow processes are examined to identify which factors play a dominant role in shaping the snow properties in these small watersheds in high-latitude boreal plains.