本数据集为甘肃省兰州市榆中县萃英山获取的无人机瞬变电磁实测数据，采用 FlyCart 30 无人机搭载宽频特种线圈瞬变电磁系统获取，实验中心位置为经度 104.13521°、纬度 35.94206°。数据生产过程中共获取三组实测数据，包括悬停试验、小面积飞行试验及大面积飞行试验。原始数据为无人机航空瞬变电磁时域电压序列，大部分数据的时间范围覆盖了 3-17 毫秒内的有效衰减信号，空间范围随无人机航迹分布。数据集内容包括发射参数、测线编号、测点坐标及高程及对应的时序电磁响应等信息，具备米级空间定位精度及微秒级时间数据采样率。本数据特点在于采用高磁矩（≥400安培平方米）轻量化（≤10 公斤）自研系统，作为针对黄土边坡环境获取的实测电磁数据，本数据集剖面间一致性好，可为黄土体结构探测及相关算法验证提供可靠参考。", "ds_source": "
本数据来源于自主研发的无人机瞬变电磁系统在延安黄土边坡区域开展的野外实测，属于试验观测数据。采用Flycart 30无人机搭载自主研发的宽频特种线圈瞬变电磁系统，该系统发射磁矩不低于400 安培平方米，关断时间小于10 微秒，整体重量控制在10公斤以内，接收系统动态噪声水平低于2纳特每秒。使用该装置在设定区域开展航空瞬变电磁观测，包括悬停试验、小面积飞行与大面积飞行三种模式，数据采集时间范围为3‑17 毫秒，同步记录各测点坐标、高程及发射参数。飞行过程保持30 km/h航速，并通过GPS实现米级定位。", "ds_process_way": "
原始数据经过无线传输导入matlab自编软件进行预处理，数据格式主要为csv和USF，预处理包括读取文件，确定文件数据点数量，坐标转换并绘制测点分布图，数据截取，将无人机的往返测线截取为直线段便于后续反演，水平方向与深度方向分别进行滤波后导出数据。", "ds_quality": "
本数据集剖面间电磁响应形态连续，重叠区数据一致性良好。预处理后的有效信号时间窗（3-17毫秒）内，电压衰减曲线光滑，符合理论衰减规律，晚期道信号仍高于系统本底噪声", "ds_acq_start_time": "2025-07-17 00:00:00", "ds_acq_end_time": "2025-07-17 00:00:00", "ds_acq_place": "兰州地区", "ds_acq_lon_east": 104.13333333333334, "ds_acq_lat_south": 35.94194444444444, "ds_acq_lon_west": 104.13333333333334, "ds_acq_lat_north": 35.94194444444444, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 17849457, "ds_files_count": 0, "ds_format": "*.dat", "ds_space_res": "1m", "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "Albers Equal Area Conic Projection System", "ds_thumbnail": "9c9cded3-cbaa-406d-9c0d-23648e6e0c83.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "bf138922-7121-438c-8d1b-19d5f751c907", "ds_serv_man": "李红星", "ds_serv_phone": "0931-4967592", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "10.12072/ncdc.loess.db7342.2026", "subject_codes": [ "170.2540" ], "quality_level": 0, "publish_time": "2026-05-21 17:22:03", "last_updated": "2026-05-21 17:35:55", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.loess.db7342.2026", "i18n": { "en": { "title": "Airborne Transient Electromagnetic (TEM) Survey Data Acquired by UAV in Lanzhou Region, Gansu, China", "ds_format": "*.dat", "ds_source": "
This data is derived from field measurements conducted by a self-developed unmanned aerial vehicle transient electromagnetic system in the loess slope area of Yan'an, and belongs to experimental observation data. The Flycart 30 drone is equipped with a self-developed wideband special coil transient electromagnetic system. The system emits a magnetic moment of not less than 400 amperes per square meter, with a turn off time of less than 10 microseconds. The overall weight is controlled within 10 kilograms, and the dynamic noise level of the receiving system is less than 2 nanotons per second. Use this device to conduct airborne transient electromagnetic observations in a designated area, including hover tests, small area flights, and large area flights. The data collection time range is 3-17 milliseconds, and the coordinates, elevations, and emission parameters of each measurement point are synchronously recorded. Maintain a speed of 30 km/h during the flight and achieve meter level positioning through GPS.", "ds_quality": "
The electromagnetic response patterns between profiles in this dataset are continuous, and the data consistency in the overlapping areas is good. Within the effective signal time window (3-17 milliseconds) after preprocessing, the voltage attenuation curve is smooth and conforms to the theoretical attenuation law. The late stage channel signal is still higher than the system background noise.", "ds_ref_way": "", "ds_abstract": "
This dataset is obtained from Cuiying Mountain in Yuzhong County, Lanzhou City, Gansu Province, using a FlyCart 30 drone equipped with a wideband special coil transient electromagnetic system. The experimental center is located at longitude 104.13521 ° and latitude 35.94206 °. During the data production process, three sets of measured data were obtained, including hover tests, small-scale flight tests, and large-scale flight tests. The original data is the time-domain voltage sequence of transient electromagnetic waves in unmanned aerial vehicle (UAV) aviation. Most of the data covers effective attenuation signals within 3-17 milliseconds in time range, and the spatial range varies with the UAV trajectory distribution. The dataset includes emission parameters, measurement line numbers, measurement point coordinates and elevations, and corresponding temporal electromagnetic responses, with meter level spatial positioning accuracy and microsecond level time data sampling rate. The characteristic of this data is the use of a self-developed system with high magnetic moment (≥ 400 ampere square meters) and lightweight (≤ 10 kilograms). As the measured electromagnetic data obtained for the loess slope environment, this dataset has good consistency between profiles and can provide reliable reference for loess structure detection and related algorithm verification.", "ds_time_res": "", "ds_acq_place": "Lanzhou area", "ds_space_res": "", "ds_projection": "", "ds_process_way": "
The raw data is wirelessly transmitted and imported into Matlab's self-developed software for preprocessing. The data formats are mainly CSV and USF. Preprocessing includes reading the file, determining the number of data points in the file, coordinate conversion and drawing the distribution map of measurement points, data truncation, and cutting the drone's round-trip measurement line into straight line segments for subsequent inversion. The horizontal and depth directions are filtered separately before exporting the data.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "recommendation_value": 0, "license_type": "https://creativecommons.org/licenses/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, "belong_to_nieer": false, "ds_topic_tags": [ "无人机瞬变", "时域电压", "FlyCart 30", "黄土边坡" ], "ds_subject_tags": [ "空间物理探测" ], "ds_class_tags": [], "ds_locus_tags": [ "中国", "兰州" ], "ds_time_tags": [ 2024 ], "ds_contributors": [ { "true_name": "宋耀辉", "email": "yaohui24@jlu.edu.cn", "work_for": "吉林大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "韦老闹", "email": "weiln2021@163.com", "work_for": "吉林大学", "country": "中国" } ], "ds_managers": [ { "true_name": "宋耀辉", "email": "yaohui24@jlu.edu.cn", "work_for": "吉林大学", "country": "中国" } ], "category": "其他" }