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Acknowledgements This work was supported by the Swiss National Science Foundation SNF (ICOS CH, grant nos. 20FI21_148992, 20FI20_173691) and the EU project Readiness of ICOS for Necessities of integrated ... DYCO: A Python package to dynamically detect and compensate for time lags in ecosystem time series. Journal of Open Source Software, 6(62), 2575. https://doi.org/10.21105/joss.02575 ... DYCO uses this method by facilitating the dynamic lag-detection between the turbulent wind data and a reference compound and the subsequent application of found reference time lags to one or more target ...doi:10.21105/joss.02575 fatcat:bcnbz2tuzrgwziwtyfkwpbk43u