This dataset contains simulated pressure data of an automatic lashing plattform used in port terminals to automaticlly insert or remove twist locks from shipping containers. The simulated pressures are accompied by the container's weight and can therefore be used to train a ML-model to predict the later based on the former. The time series data is stored inside the parquet files in the format as used by Flowcean for which this data was originally created. Four different datasets are provided: One general set, containing about 160,000 simulated container movements and three small sets for which only a single parameter (container weight, ambient temperature and starting pressure) is varried. See this example for a more in depth explanation of the parameters and how to use this data with Flowcean.