{
    "created": "2022-04-15 15:19:32",
    "updated": "2026-05-01 16:51:54",
    "id": "b5e37cf9-4969-49d5-8ea2-0c93a5a0e16b",
    "version": 6,
    "ds_topic": null,
    "title_cn": "甘肃省天水市罗玉沟流域降雨型黄土滑坡的电阻层析成像监测数据（2020年8月）",
    "title_en": "Monitoring Data of Rainfall-Induced Loess Landslides in Luoyu Gully Watershed, Tianshui City, Gansu Province, Using Electrical Resistivity Tomography (August 2020)",
    "ds_abstract": "<p>&emsp;&emsp;该数据为研究团队使用AGI公司Supersting R8/IP电阻层析成像仪，获取的34期降雨试验采集原始视电阻率数据，主要字段内容包括电极位置、测量电压、视电阻率、测量精度等，其中电压测量分辨率为mV级。\n<p>&emsp;&emsp;基于空间时序聚类算法对反演电阻率经聚类计算后相似变化区间空间分布。视电阻率电压数据监测精度为mV级，以EarthImager为基础平台，将异常值提出，最后以.stg格式存储。</p>",
    "ds_source": "<p>&emsp;&emsp;使用AGI公司Supersting R8/IP电阻层析成像仪，获取的34期降雨试验采集原始视电阻率数据。</p>",
    "ds_process_way": "<p>&emsp;&emsp;基于空间时序聚类算法对反演电阻率经聚类计算后相似变化区间空间分布。视电阻率电压数据监测精度为mV级，以EarthImager为基础平台，将异常值提出，最后以.stg格式存储。</p>",
    "ds_quality": "<p>&emsp;&emsp;数据质量良好。</p>",
    "ds_acq_start_time": "2020-08-01 00:00:00",
    "ds_acq_end_time": "2020-08-31 00:00:00",
    "ds_acq_place": "甘肃省天水市罗玉沟流域",
    "ds_acq_lon_east": 105.7388888888889,
    "ds_acq_lat_south": 34.58888888888889,
    "ds_acq_lon_west": 105.50833333333334,
    "ds_acq_lat_north": 34.65555555555555,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "login-access",
    "ds_total_size": 3831781,
    "ds_files_count": 2,
    "ds_format": ".stg",
    "ds_space_res": null,
    "ds_time_res": "",
    "ds_coordinate": "无",
    "ds_projection": "",
    "ds_thumbnail": "b5e37cf9-4969-49d5-8ea2-0c93a5a0e16b.jpg",
    "ds_thumb_from": 0,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "",
    "ds_from_station": null,
    "organization_id": "3e397ebe-36ab-4e95-9b1b-dfce93031c18",
    "ds_serv_man": "敏玉芳",
    "ds_serv_phone": "0931-4967596",
    "ds_serv_mail": "ncdc@lzb.ac.cn",
    "doi_value": "10.12072/ncdc.LANDSLIDE.db2069.2022",
    "subject_codes": [
        "170.4510"
    ],
    "quality_level": 3,
    "publish_time": "2022-04-20 09:30:19",
    "last_updated": "2025-05-29 10:51:37",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.ncdc.LANDSLIDE.db2069.2022",
    "i18n": {
        "en": {
            "title": "Monitoring Data of Rainfall-Induced Loess Landslides in Luoyu Gully Watershed, Tianshui City, Gansu Province, Using Electrical Resistivity Tomography (August 2020)",
            "ds_format": ".stg",
            "ds_source": "<p>&emsp;The original apparent resistivity data collected from 34 rainfall experiments, acquired using the Supersting R8/IP electrical resistivity tomography instrument manufactured by AGI.</p>",
            "ds_quality": "<p>&emsp; Good data quality.</p>",
            "ds_ref_way": "",
            "ds_abstract": "<p> 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.</p>\n<p> 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.</p>",
            "ds_time_res": "",
            "ds_acq_place": "Luoyugou watershed, Tianshui City, Gansu Province",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p>&emsp;Based on the spatial-temporal clustering algorithm, the inverted resistivity data undergoes clustering calculation to determine the spatial distribution of similar variation intervals. 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 final data is stored in the .stg format.</p>",
            "ds_ref_instruction": ""
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 0,
    "license_type": "CC BY 4.0",
    "doi_reg_from": "reg_local",
    "cstr_reg_from": "reg_local",
    "doi_not_reg_reason": null,
    "cstr_not_reg_reason": null,
    "is_paper_in_submitting": false,
    "ds_topic_tags": [
        "电阻层析成像",
        "视电阻率",
        "测量精度"
    ],
    "ds_subject_tags": [
        "自然地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "甘肃省天水市罗玉沟流域"
    ],
    "ds_time_tags": [
        2020
    ],
    "ds_contributors": [
        {
            "true_name": "曾润强",
            "email": "zengrq@lzu.edu.cn",
            "work_for": "兰州大学地质科学与矿产资源学院",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "曾润强",
            "email": "zengrq@lzu.edu.cn",
            "work_for": "兰州大学地质科学与矿产资源学院",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "敏玉芳",
            "email": "myf@lzb.ac.cn",
            "work_for": "中国科学院西北生态环境资源研究院",
            "country": "中国"
        }
    ],
    "category": "灾害"
}