Dataset related to manuscript "Multi-tech sensing in-field demonstration on terrestrial optical data networks"

Refers to the journal article: E. Virgillito, F. Notarstefano, R. Ambrosone, G. Malik, S. Straullu, R. Bratovich, R. Corsini, A. Herrero, M. Hovsepyan, F. Carpentieri, S. Donadello, C. Clivati, and V. Curri, "Multi-tech sensing in-field demonstration on terrestrial optical data networks," J. Opt. Commun. Netw. 18, C37-C48 (2026). DOI: https://doi.org/10.1364/JOCN.590101 Data is structured in folders corresponding to a subset of the manuscript figures. Differently to manuscript figures, some modifications have been done for compliance with the requirements of the fiber infrastructure owners. All the time series show the relative time to the start of each acquisition rather than the absolute time. Fig. 5-6 data retain the original sampling frequency of 100 Hz. FIg. 9-11 Polarimeter data has been downsampled to 1 Hz. FIg. 9a-11b BER data has been downsampled to 0.05 Hz. Fig. 13a-13b Polarimeter and SMO device data jhas been downsampled to 50 Hz. For Fig. 9-11-13 data use the following code to reimport data as python dataframe: temp_dft = pd.read_csv("./zenodo_dataset/temperature_august.csv") temp_dft["time_relative"] = pd.to_timedelta(temp_dft["time_relative"], unit="ns") temp_dft = temp_dft.set_index("time_relative")

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