Tables: events_list_vent.csv - list of automatically detected events with start and end times training_data.csv - the 16 sediment-discharge event metrics used as input for principal component analysis (PCA) for each event training_data_reduced.csv - the 7 principal components from the PCA for each event, used for clustering event_cluster_labels.csv - assigned labels for each event from the clustering catchment_metrics.csv - hydrometeorological catchment metrics used to interpret event clusters event_type_annual_sediment_yield.csv - annual suspended sediment yield in metric tonnes for each event type and from non-events

Figures: cluster0_event_hystersis_plots.pdf - hydrograph, sedigraph, and hysteresis plots of each event in cluster 0 cluster1_event_hystersis_plots.pdf - hydrograph, sedigraph, and hysteresis plots of each event in cluster 1 cluster2_event_hystersis_plots.pdf - hydrograph, sedigraph, and hysteresis plots of each event in cluster 2 cluster3_event_hystersis_plots.pdf - hydrograph, sedigraph, and hysteresis plots of each event in cluster 3 cluster0_event_precip_swe_plots.pdf - plots of event streamflow, suspended sediment concentrations (SSC), precipitation, snow water equivalents (SWE), and catchment temperature for each event in cluster 0 cluster1_event_precip_swe_plots.pdf - plots of event streamflow, SSC, precipitation, SWE, and catchment temperature for each event in cluster 1 cluster2_event_precip_swe_plots.pdf - plots of event streamflow, SSC, precipitation, SWE, and catchment temperature for each event in cluster 2 cluster3_event_precip_swe_plots.pdf - plots of event streamflow, SSC, precipitation, SWE, and catchment temperature for each event in cluster 3

This data repository contains the data of the key results from the scientific paper "Inferring sediment-discharge event types in an alpine catchment from sub-daily time series" submitted to HESS.

Sediment-discharge events were identified with an automatic detection routine using 15-min suspended sediment concentration and streamflow time series (event_list_vent.csv). The events were characterised with 16 sediment-discharge event metrics (training_data.csv), which were transformed and reduced with a principal component analysis to 7 principal components (training_data_reduced.csv). These were clustered a Gaussian mixture model (event_cluster_labels.csv). The clusters were interpreted with hydrometeorological catchment metrics (catchment_metrics.csv) into event types. The contribution of each event type to annual suspended sediment yield in metric tonnes (event_type_annual_sediment_yield.csv). Figures for all events in each cluster can be found in the PDFs.