摘要:Abstract. The temporal and spatial dynamics of streamflow presenceand absence is considered vital information to many hydrological andecological studies. Measuring the duration of active streamflow and dryperiods in the channel allows us to classify the degree of intermittency ofstreams. We used different sensing techniques including time-lapse imagery,electric conductivity and stage measurements to generate a combined datasetof presence and absence of streamflow within various nested sub-catchmentsin the Attert catchment, Luxembourg. The first sites of observation wereestablished in 2013 and successively extended to a total number of 182 in2016 as part of the project Catchments As Organized Systems (CAOS).Temporal resolution ranged from 5 to 15 min intervals. Each singledataset was carefully processed and quality controlled before the timeinterval was homogenised to 30 min. The dataset provides valuableinformation of the dynamics of a meso-scale stream network in space andtime. This can be used to test and evaluate hydrologic models but also forthe assessment of the intermittent stream ecosystem in the Attert basin. Thedataset presented in this paper is available at the online repository of theGerman Research Center for Geosciences (GFZ,https://doi.org/10.5880/FIDGEO.2019.010, Kaplan et al., 2019).