This paper presents a dataset obtained from a ground-based W-band (94 GHz) Doppler spectral polarimetric cloud radar (WProf) during the CLeancloud Arctic VIllum ExpeRiment (Clavier) campaign at Villum Research Station, Northeast Greenland, from 23 March to 13 April 2024. The campaign aimed to investigate Arctic cloud microphysical processes and aerosol–cloud interactions under pristine and Arctic haze conditions. Here, we describe the WProf radar measurements and the full processing chain, including noise removal and quality-control filtering, ensuring complete traceability from raw spectra to higher-level products. To resolve the complex microphysical structure of Arctic clouds, the peakTree algorithm was applied to Doppler spectra to identify and characterize multimodal velocity distributions, enabling the detection of coexisting hydrometeor populations within individual radar volumes. Peak-resolved spectral parameters are subsequently used within a hydrometeor classification framework implemented in pyLARDA enabling the identification of liquid droplets, pristine ice crystals, aggregates and rimed particles. The dataset captures a wide range of Arctic spring cloud regimes, including persistent mixed-phase clouds, deep and shallow ice-precipitating systems, and vertically structured seeder–feeder configurations. The observations indicate that multimodality is a common feature of Arctic clouds, particularly during periods of active ice growth, aggregation, and cloud-layer interaction. As dynamic forcing weakens, cloud systems frequently evolve toward shallower and more homogeneous stratiform states with reduced spectral complexity. Overall, the dataset provides a solid basis for studying Arctic aerosol-cloud interactions and cloud microphysics for evaluating the cloud and precipitation parameterizations in models.