As the Arctic climate changes, there is a growing need for an increased understanding of the Arctic environment, how it is changing and how it will change in the coming decades. With a sparse observational network in the Arctic, high quality, long-term records, with datasets targeting characteristics of snow, hydrology, vegetation, sub-surface thermal properties of the permafrost, and fluxes of water and energy, are invaluable. The Laurier Trail Valley Creek (TVC) Arctic Research Station, approximately 50 km north of Inuvik (NT, Canada) in the low Arctic tundra, has a unique data set with snow, discharge and climate data that began in 1979. This data set is publicly available from the Laurier Borealis data repository and is beneficial to research communities working on Arctic tundra environments for various purposes such as the assessment of climate change impacts, and/or enhancing physics-based land surface and hydrology models. We present a detailed statistical analysis using extreme indices on the available data to examine the collected hydrometeorological variables, snow on the ground at the end of winter, the distribution of snow over different terrain and vegetation types, and streamflow observations. Open access to this diverse dataset will help improve our understanding of integrated controlling processes in the Arctic, how the environment has changed in in the taiga-tundra ecotone, and help drive permafrost and hydrological models under future climate scenarios.