%0 Dataset %T Monitoring Data of Rainfall-Induced Loess Landslides in Luoyu Gully Watershed, Tianshui City, Gansu Province, Using Electrical Resistivity Tomography (August 2020) %J National Cryosphere Desert Data Center %I National Cryosphere Desert Data Center(www.ncdc.ac.cn) %U http://www.ncdc.ac.cn/portal/metadata/b5e37cf9-4969-49d5-8ea2-0c93a5a0e16b %W NCDC %R 10.12072/ncdc.LANDSLIDE.db2069.2022 %A Zeng Runqiang %K Electrical Resistivity Tomography (ERT);Apparent Resistivity;Measurement Accuracy %X This dataset contains the original apparent resistivity data collected from 34 rainfall experiments, acquired by the research team using the Supersting R8/IP electrical resistivity tomography instrument manufactured by AGI. The main fields include electrode positions, measured voltages, apparent resistivities, and measurement accuracies, with the voltage measurement resolution being at the mV level.Based on the spatial-temporal clustering algorithm, the inverted resistivity data undergoes clustering calculation to identify similar variation intervals and their spatial distributions. The monitoring accuracy of the apparent resistivity and voltage data is at the mV level. Using EarthImager as the base platform, outliers are identified and removed, and the data is finally stored in the .stg format.