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. We present an analysis of three datasets of 10 min metocean measurement statistics and our resulting recommendations to both producers and users ofsuch datasets. Many of our recommendations are more generally of interest to all numerical measurement data producers. The datasets analyzedoriginate from offshore meteorological masts installed to support offshore wind farm planning and design: the Dutch OWEZ and MMIJ and the GermanFINO1. Our analysis shows that such datasets contain issues that users should look out for and whose prevalence can be reduced by producers. Wealso present expressions to derive uncertainty and bias values for the statistics from information typically available about sample uncertainty. Wealso observe that the format in which the data are disseminated is sub-optimal from the users' perspective and discuss how producers can create moreimmediately useful dataset files. Effectively, we advocate using an established binary format (HDF5 or netCDF4) instead of the typical text-basedone (comma-separated values), as this allows for the inclusion of relevant metadata and the creation of significantly smaller directly accessibledataset files. Next to informing producers of the advantages of these formats, we also provide concrete pointers to their effective use. Ourconclusion is that datasets such as the ones we analyzed can be improved substantially in usefulness and convenience with limited effort.

How to improve the state of the art in metocean measurement datasets