{
    "created": "2023-07-04 11:40:19",
    "updated": "2026-05-08 13:03:49",
    "id": "da0ebf1f-fbdf-4eaa-91cf-0e88671da2d7",
    "version": 7,
    "ds_topic": null,
    "title_cn": "首钢滑雪大跳台雪堆数据集（2022年）",
    "title_en": "a snow pile data set of Big Air Shougang(2022)",
    "ds_abstract": "<p>&emsp;&emsp;本数据集为首钢滑雪大跳台2022年1月至4月的储雪堆数据，地理位置为(39.908°N, 116.147°E, 75.8 m a.s.l.)。本数据集共包含1个.xlsx文件和一个TIFF文件，包括距表面1.2m处雪堆内部温度（℃）和储雪堆2022年1月DSM模型（m）。",
    "ds_source": "<p>&emsp;&emsp;雪堆内部温度使用热敏电阻传感器获取，精度为± 0.02℃ （-30℃～30 ℃）。DSM由三维激光扫描仪扫描的点云数据生成。三维激光扫描仪使用的型号为Riegl VZ®-6000 Class 3B，激光脉冲重复率为300kHz，精扫的角分辨率为0.01°，扫描精度为± 15 mm。",
    "ds_process_way": "<p>&emsp;&emsp;雪堆内部温度未经加工处理。经点云数据的滤波、拼接、控制点的校正和裁剪等导出目标雪堆的点云数据，在arcgis中输入导出点云最终形成雪堆DSM模型。",
    "ds_quality": "<p>&emsp;&emsp;本数据在获取处理各阶段均有专业人员负责，数据质量良好。",
    "ds_acq_start_time": "2022-01-17 00:00:00",
    "ds_acq_end_time": "2022-04-27 00:00:00",
    "ds_acq_place": "北京首钢滑雪大跳台场馆",
    "ds_acq_lon_east": null,
    "ds_acq_lat_south": null,
    "ds_acq_lon_west": null,
    "ds_acq_lat_north": null,
    "ds_acq_alt_low": 74.9,
    "ds_acq_alt_high": 82.0,
    "ds_share_type": "apply-access",
    "ds_total_size": 81256,
    "ds_files_count": 2,
    "ds_format": "xlsx,tiff",
    "ds_space_res": "0.2m",
    "ds_time_res": "日",
    "ds_coordinate": "WGS84",
    "ds_projection": "UTM50N",
    "ds_thumbnail": "da0ebf1f-fbdf-4eaa-91cf-0e88671da2d7.png",
    "ds_thumb_from": 0,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "用户在使用数据时请在正文中明确注明数据的来源，并在参考文献部分引用本元数据提供的引用方式。",
    "ds_from_station": null,
    "organization_id": "52f86cb3-7bfa-4b4b-ae86-0e38af374716",
    "ds_serv_man": "李红星",
    "ds_serv_phone": "0931-4967592",
    "ds_serv_mail": "ncdc@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": [
        "170.15"
    ],
    "quality_level": 3,
    "publish_time": "2023-07-10 10:57:52",
    "last_updated": "2023-07-15 02:10:03",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.NCDC.T-SNOW.DB2890.2023",
    "i18n": {
        "en": {
            "title": "a snow pile data set of Big Air Shougang(2022)",
            "ds_format": "",
            "ds_source": "<p>&emsp;The internal temperature of the snowdrift is obtained using a thermistor sensor with an accuracy of ± 0.02 ℃ (-30 ℃~30 ℃). DSM is generated from point cloud data scanned by a 3D laser scanner. The model used for the 3D laser scanner is Riegl VZ ®- 6000 Class 3B, the repetition rate of laser pulse is 300kHz, the Angular resolution of fine scanning is 0.01 °, and the scanning accuracy is ± 15mm.",
            "ds_quality": "<p>&emsp;Professional personnel are responsible for all stages of data acquisition and processing, and the data quality is good.",
            "ds_ref_way": "",
            "ds_abstract": "<p> This data set is the snow storage pile data of Big Air Shougang from January to April 2022, with the geographical location of (39.908 ° N, 116.147 ° E, 75.8 m a.s.l.). This dataset consists of one. xlsx file and one TIFF file, including the internal temperature (℃) of the snow pile at a distance of 1.2m from the surface and the January 2022 DSM model of the snow pile (m).</p>",
            "ds_time_res": "日",
            "ds_acq_place": "Big Air Shougang Stadium",
            "ds_space_res": "0.2m",
            "ds_projection": "",
            "ds_process_way": "<p>&emsp;The internal temperature of the snowdrift has not been processed. Export the point cloud data of the target snowdrift through filtering, splicing, control point correction, and cropping of point cloud data, and input and export the point cloud in ArcGIS to form the snowdrift DSM model.",
            "ds_ref_instruction": "When users use data, please clearly indicate the source of the data in the main text and cite the citation provided by this metadata in the reference section."
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 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,
    "ds_topic_tags": [
        "空气温度",
        "下行的短波辐射",
        "DSM模型"
    ],
    "ds_subject_tags": [
        "大气科学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "北京首钢滑雪大跳台场馆"
    ],
    "ds_time_tags": [
        2022
    ],
    "ds_contributors": [
        {
            "true_name": "王飞腾",
            "email": "wangfeiteng@lzb.ac.cn",
            "work_for": "中国科学院西北生态环境资源研究院",
            "country": "中国"
        },
        {
            "true_name": "王兴",
            "email": "wangxing181@mails.ucas.ac.cn",
            "work_for": "中科院西北生态环境资源研究院",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "王飞腾",
            "email": "wangfeiteng@lzb.ac.cn",
            "work_for": "中国科学院西北生态环境资源研究院",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "王飞腾",
            "email": "wangfeiteng@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": "气象"
}