SKS-SKKS measurements per station and per event. We provide details in the following order: station, network, station latitude, station longitude, event date, event time, event latitude, event longitude, event depth, event magnitude, distance, backazimuth, misalignment correction value, phi, dt, min. phi error, max. phi error, min. dt error, max. dt error, splitting intensity, min. splitting intensity error, max. splitting intensity error, category (SplitRacer), individual category, category for pair. Values for field ‘category(SplitRacer)’ are based on SplitRacer’s quality criteria: good, average, null-measurement, with our addition of the category ‘fair null-measurement’ for nulls which are slightly noisy. In general, these categories are selected by the user on the basis of the noise level of the traces, the amount of energy reduction, splitting intensity value (and errors), visual comparison of the time derivative radial component to the transverse component, scatter in the histogram over the used time windows and the size of 95% confidence level The selection of final usable events was then based on the width of the 95% confidence level. The field ‘Individual category’ has the following values: 0=null-measurement; 1=very good (phi error < 30°; dt error 0.75 s); 2= good (phi error >30°; < 60°, dt error > 0.75 s; <1.55 s), 3= fair (error bars larger than category 2 but clear splitting and the other phase of the same event is a category 1). Categories for pairs are: 0 = both phases are null-measurements; 1= both phases have an individual category of 1, individual categories of 1 & 2, or one phase is null while the other is an individual category 1; 2= both phases have an individual category of 2 or one phase is null while the other is an individual category 2 measurement or one phase is an individual category 1 measurement while the other is an individual category 3 measurement (the latter only applies to 30 pairs in total).