10.18710/OOJYQ0 Neby, Magne Magne Neby https://orcid.org/0000-0003-2098-7650 Inland Norway University of Applied Sciences Andreassen, Harry Harry Andreassen Inland Norway University of Applied Sciences Milleret, Cyril Pierre Cyril Pierre Milleret Inland Norway University of Applied Sciences Pedersen, Simen Simen Pedersen Inland Norway University of Applied Sciences Peris Tamayo, Ana-Maria Ana-Maria Peris Tamayo Inland Norway University of Applied Sciences Sánchez, David Carriondo David Carriondo Sánchez Inland Norway University of Applied Sciences Versluijs, Erik Erik Versluijs Inland Norway University of Applied Sciences Zimmermann, Barbara Barbara Zimmermann Inland Norway University of Applied Sciences DataverseNO 2023 Earth and Environmental Sciences arvicolinae, vole, shrews, trapping, abundance index, field method, database, dissection Inland Norway University of Applied Sciences Inland Norway University of Applied Sciences Inland Norway University of Applied Sciences Neby, Magne Magne Neby Inland Norway University of Applied Sciences All authors lead the student-oriented field work, lab work, and were involved in data management processes (each in different years). in in 2023-04-21 2023-08-17 2026-04-15 2011-06-07/2022-10-20 2011-06-07/2022-10-20 Survey data 10.3897/BDJ.11.E105914 10.18710/OOJYQ0/ASUE1P 10.18710/OOJYQ0/YZTAP6 10.18710/OOJYQ0/F8EOE8 10.18710/OOJYQ0/JKKVEH 11547 2909682 97364 3284450 text/plain text/plain text/plain text/plain 1.4 Creative Commons CC0 1.0 Universal Public Domain Dedication. We provide a dataset of small rodent observations that show fluctuating population dynamics across an elevation gradient (300 m to 1,100 m a.s.l) and in contrasting habitats. This dataset encompasses three peaks of the typical 3-4-year vole population cycles; the number of small rodents and shrews captured show synchrony and peaked in years 2014, 2017, and 2021. The bank vole Myodes glareolus was by far (87%) the most common species trapped, but also other species were observed (including shrews). We provide digital data collection forms and highlight the importance of long-term data collection. R, Version 4.2.2 Norway, Innlandet, 10.465131 11.023757 61.247073 61.460856 The Research Council of Norway 221056