对上甸子站2018年采集的分钟级一氧化氮浓度数据首先进行观测员级质控；其次，在数据质控软件支持下经专家级质控生成小时数据；再由小时数据合成日数据集。日数据集包括采集时间（CollectTime）、设备名称（DeviceName）、数据值（DataValue）、最大值（DataValueMax）、最大值出现时间（DataValueTMx）、最小值（DataValueMin）、最小值出现时间（DataValueTMn）等信息，可进行主要大气污染气体一氧化氮数据的日变化分析等应用。
", "ds_source": "采用Thermo fisher 公司生产的TE42i-TL型氮氧化物分析仪采集二氧化氮分钟级浓度数据，数据单位为ppb，数据格式为Excel(*.xls)格式。
", "ds_process_way": "原始数据首先经过奇异值筛选，零跨检查等过程，剔除有问题的观测数据。然后根据校准曲线对数据进行校正，最后根据有效数据量进行小时均值和日均值计算。
", "ds_quality": "数据经过观测员级和专家级两级质控，数据质量良好。
", "ds_acq_start_time": "2018-01-01 00:00:00", "ds_acq_end_time": "2018-12-31 00:00:00", "ds_acq_place": "北京市密云区高岭镇上甸子村后山上甸子区域大气本底站内", "ds_acq_lon_east": 117.13277777777778, "ds_acq_lat_south": 40.63305555555556, "ds_acq_lon_west": 117.06666666666666, "ds_acq_lat_north": 40.99805555555556, "ds_acq_alt_low": 293.1, "ds_acq_alt_high": 293.5, "ds_share_type": "login-access", "ds_total_size": 51712, "ds_files_count": 2, "ds_format": "xls", "ds_space_res": null, "ds_time_res": "日", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "808ccdbb-d9b0-43eb-a3fb-bc7dd8da995e.jpg", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "在使用数据时，请注明“2018年北京上甸子大气本底站一氧化氮日数据集数据来自北京上甸子大气本底站”", "ds_from_station": null, "organization_id": "5bbdb7c9-88ca-4011-af74-f1eb6b162e28", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.1515" ], "quality_level": 3, "publish_time": "2021-01-12 11:18:16", "last_updated": "2023-08-23 17:04:04", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.SDZRAW.2020.25", "license": null, "i18n": { "en": { "title": "Nitrogen monoxide daily data set of Beijing Shangdianzi Atmosphere background watch station 2018", "ds_format": "xls", "ds_source": "The TE42i-TL nitrogen oxide analyzer produced by Thermo Fisher is used to collect minute level concentration data of nitrogen dioxide. The data unit is ppb and the data format is Excel (*. xls)
", "ds_quality": "The data has undergone two levels of quality control: observer level and expert level, and the data quality is good
", "ds_ref_way": "", "ds_abstract": "Firstly, conduct observer level quality control on the minute level nitric oxide concentration data collected at Shangdianzi Station in 2018; Secondly, with the support of data quality control software, hourly data is generated through expert level quality control; Then, hourly data is combined into a daily dataset. The daily dataset includes information such as CollectTime, DeviceName, DataValue, DataValueMax, DataValueTMx, DataValueMin, and DataValueTMn, which can be used for daily variation analysis of major atmospheric pollution gas nitric oxide data
", "ds_time_res": "日", "ds_acq_place": "In the atmospheric background station of Shangdianzi District, Houshan, Shangdianzi Village, Gaoling Town, Miyun District, Beijing", "ds_space_res": "", "ds_projection": "", "ds_process_way": "The original data is first subjected to singular value filtering, zero span checking, and other processes to eliminate problematic observation data. Then calibrate the data according to the calibration curve, and finally calculate the hourly and daily mean based on the effective data volume
", "ds_ref_instruction": "When using the data, please indicate that \"the daily dataset of nitric oxide at Beijing Shangdianzi Atmospheric Background Station in 2018 comes from Beijing Shangdianzi Atmospheric Background Station\"" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "ds_topic_tags": [ "一氧化氮", "上甸子", "大气本底" ], "ds_subject_tags": [ "大气化学" ], "ds_class_tags": [], "ds_locus_tags": [ "北京", "上甸子", "高岭镇" ], "ds_time_tags": [ 2018 ], "ds_contributors": [ { "true_name": "周礼岩", "email": "lyzhou@ium.cn", "work_for": "北京城市气象研究院", "country": "中国" }, { "true_name": "李颖若", "email": "liyingruo828@163.com", "work_for": "京津冀环境气象预报预警中心", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "权维俊", "email": "quanquan78430@163.com", "work_for": "京津冀环境气象预报预警中心", "country": "中国" }, { "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" } ], "ds_managers": [ { "true_name": "权维俊", "email": "quanquan78430@163.com", "work_for": "京津冀环境气象预报预警中心", "country": "中国" }, { "true_name": "周礼岩", "email": "lyzhou@ium.cn", "work_for": "北京城市气象研究院", "country": "中国" } ], "category": "大气本底" }