%0 Dataset %T The field test data of deep-seated disease detection equipment for the Taobe Reservoir dam in Hubei Province. %J National Cryosphere Desert Data Center %I National Cryosphere Desert Data Center(www.ncdc.ac.cn) %U http://www.ncdc.ac.cn/portal/metadata/3bbf2987-3947-4477-84b5-fb74f78c60f5 %W NCDC %A zhang sheng xing %A ming pan %A zhan qi bing %K Disease detection;earth and rock dam;data interpretation %X This dataset is the on-site testing data of the deep buried disease detection equipment for the Taohe Reservoir dam in Hubei Province. It includes the raw data collected by the research and development equipment on site, the interpreted data calculated by the research algorithm, and the graphical data obtained by imaging the interpreted data. The original data in this dataset is from field measurements, the interpreted data is obtained by inverting the apparent resistivity data based on the field measurements, and the imaging map is given different colors based on the values and positions of the apparent resistivity map to visually image the disease.In the dataset, the original data is a txt file named after the survey lines set up on site, including seven files: "L0-1", "L0-2", "L1-3", "L3 Level 1 Horse Road", "L4 Level 2 Horse Road", "L5 Level 3 Horse Road", and "L6 Level 4 Horse Road". These files can be viewed or edited through text software, and the data in each file includes the location of the survey points (m) and the magnetic field strength (Bz). The interpreted data is a dat file, with a vertical measurement line of 1 and a horizontal measurement line of 2, including "interpreted data 1" and "interpreted data 2". Each file includes point positions and apparent resistivity values. The imaging map is a JPG file, with a vertical measurement line result of 1 and a horizontal measurement line result of 2, including "Test Result 1" and "Test Result 2". This dataset covers the entire process of on-site data collection, data interpretation, and final imaging, ultimately obtaining the distribution of apparent resistivity of the dam, visually displaying low resistance abnormal areas, and locating leakage channels.