Data associated with "Drivers of interannual to decadal sea level variability in northern Europe - Data driven approach"

Data associated with paper "Drivers of interannual to decadal sea level variability in northern Europe - Data driven approach" by Lea Poropat and Céline Heuzé Code associated with it can be found at: https://doi.org/10.5281/zenodo.19070975 InputData- processed sea level and potential sea level drivers used for training and testing machine leaning models- file name: data_station_[station_id]_train.csv and data_station_[station_id]_test.csv Networks- ensemble of 99 trained neural networks for each station in the study using the best sequence length- file name: trained_neural_network_[station_id]_NN[sequence_length]_[ensemble_member].pkl Results- file name: ResultsTestSet2012-2016.nc- includes: - station names and locations - true values - predictions (baseline and feature importance) with neural networks and linear regression for all sequence lengths - explained variance (R^2 * 100%) - median ensemble member (based on baseline explained variance)