对上甸子站2018年采集的分钟级PM2.5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物PM2.5数据的日变化分析等应用。
", "ds_source": "采用Thermo fisher 公司生产的Teom 1405DF型颗粒物分析仪采集PM2.5分钟级浓度数据，数据单位为μg/m^3，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，剔除有问题的观测数据。然后根据质控算法对数据进行校正，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": 52736, "ds_files_count": 2, "ds_format": "xls", "ds_space_res": null, "ds_time_res": "时/日", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "38a8f397-ffa9-44f2-8d6d-9c4d51c655d1.jpg", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "在使用数据时，请注明“北京上甸子大气本底站2018年PM2.5日数据集北京上甸子大气成分本底站”", "ds_from_station": null, "organization_id": "5bbdb7c9-88ca-4011-af74-f1eb6b162e28", "ds_serv_man": "权维俊", "ds_serv_phone": "010-58991325", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.1515" ], "quality_level": 3, "publish_time": "2020-12-16 09:09:56", "last_updated": "2023-09-04 13:50:47", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.SDZRAW.2020.23", "i18n": { "en": { "title": "PM2.5 daily data set of Beijing Shangdianzi atmosphere watch station 2018", "ds_format": "xls", "ds_source": "The concentration data of pm2.5min was collected by TEOM 1405df particle analyzer produced by Thermo Fisher company. The data unit was μ g / m ^ 3 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 level PM2.5 concentration data collected at Shangdianzi station in 2018, the first step is to conduct observer level quality control; secondly, with the support of data quality control software, hourly data is generated through expert level quality control; and then daily data set is synthesized from hourly data. The daily data set includes collection time, device name, data value, datavaluemax, datavaluetmx, datavaluemin, datavaluetmn and other information, which can be used for daily change analysis of PM2.5 data of main air pollutants.
", "ds_time_res": "时/日", "ds_acq_place": "At the Atmospheric Background Station in the Houshan Shangdianzi Area of Shangdianzi Village, Gaoling Town, Miyun District, Beijing", "ds_space_res": "", "ds_projection": "", "ds_process_way": "First, the original data is filtered by singular value, and the problematic observation data is eliminated. Then the data are corrected according to the quality control algorithm, and the hourly and daily mean values are calculated according to the effective data.
", "ds_ref_instruction": "When using data, please indicate \"Beijing Shangdianzi Atmospheric Background Station 2018 PM2.5 Daily Dataset Beijing Shangdianzi Atmospheric Composition Background Station\"" } }, "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, "ds_topic_tags": [ "PM2.5", "上甸子", "大气本底" ], "ds_subject_tags": [ "大气化学" ], "ds_class_tags": [], "ds_locus_tags": [ "密云区", "上甸子", "北京市", "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": "王垚", "email": "xiaoxiaocong6568@sina.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" }