对上甸子站2018年采集的分钟级氮氧化物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氮氧化物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氮氧化物分钟级浓度数据，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": "6d39b05b-1c5b-4a90-9d18-63ee1798aa5b.jpg", "ds_thumb_from": 0, "ds_ref_way": "周怀刚，2018年北京上甸子大气本底站氮氧化物日数据集，国家冰川冻土沙漠科学数据中心(www.ncdc.ac.cn)，2019，doi：10.12072/ncdc.sdzraw.db2939.2023", "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氮氧化物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": "10.12072/ncdc.sdzraw.db2939.2023", "subject_codes": [ "170.1515" ], "quality_level": 3, "publish_time": "2021-01-12 11:18:50", "last_updated": "2023-08-22 09:59:30", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.SDZRAW.2020.26", "i18n": { "en": { "title": "Daily data set of NOx at Shangdianzi atmospheric background watch station in Beijing in 2018", "ds_format": "xls", "ds_source": "Te42i TL NOx analyzer produced by Thermo Fisher company was used to collect the concentration data of NOx at minute level. The data unit was ppb and the data format was excel (*. XLS).
", "ds_quality": "The data quality is good after the quality control of observer level and expert level.
", "ds_ref_way": "", "ds_abstract": "For the minute NOx concentration data collected at Shangdianzi station in 2018, firstly, the observer level quality control is carried out; secondly, the hour data is generated by expert level quality control with the support of data quality control software; and then the day data set is synthesized from the hour data. The daily data set includes information such as collection time, device name, data value, maximum value, maximum value (datavaluetmx), minimum value (datavaluemin), minimum value occurrence time (datavaluetmn). It can be used for daily change analysis of nitrogen oxide data of main air pollution gases.
", "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": "First, the original data is filtered by singular value, zero span check and other processes to eliminate the problematic observation data. Then the data are corrected according to the calibration curve, and the hourly and daily mean values are calculated according to the effective data.
", "ds_ref_instruction": "When using the data, please indicate that \"the data of NOx daily data set of Beijing Shangdianzi atmospheric background station in 2018 is from Beijing Shangdianzi Atmospheric Background Station\"" } }, "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, "ds_topic_tags": [ "氮氧化物", "上甸子", "大气本底" ], "ds_subject_tags": [ "大气化学" ], "ds_class_tags": [], "ds_locus_tags": [ "高岭镇", "上甸子", "北京市" ], "ds_time_tags": [ 2018 ], "ds_contributors": [ { "true_name": "周怀刚", "email": "zhouhuaigang@126.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": "周怀刚", "email": "zhouhuaigang@126.com", "work_for": "京津冀环境气象预报预警中心", "country": "中国" } ], "category": "大气本底" }