This dataset has been created as a comparative dataset for assessment of satellite-derived sea surface height anomaly performed by Doglioni et al. (2022). The dataset includes two time series, one of steric height and another of bottom pressure equivalent height, respectively computed from moored temperature and salinity data and ocean bottom pressure records in the Fram Strait. Data were collected between August 2016 and August 2018, in the framework of the project FRontiers in Arctic marine Monitoring (FRAM mooring R1-1, von Appen et al., 2019). Temperature and salinity were linearly interpolated between the shallowest sensor (49 m) and the deepest sensor (729 m) onto a regular pressure grid with vertical spacing of 2 m. Constant extrapolation was performed above the shallowest sensor and no extrapolation was performed below the deepest sensor. Temperature and salinity vertical profiles were converted into density profiles using the Matlab sw_dens routine (Foffonoff et al.,1983). Bottom pressure records are detided using the Matlab routine t_tide (Pawlowicz et al., 2002) and instrumental drifts were removed. The bottom pressure equivalent height time series was high pass filtered with a cutoff frequency of 2 months because of large pressure anomalies developing on timescales of several months, whose amplitude was at least one order of magnitude too large to be explained by changes in ocean currents. Steric height and bottom pressure equivalent height time series were averaged into monthly time steps.