本数据集包含我国典型积雪区的6个超级站2017-2020年，6条线路2017-2019年、2020-2021年三个积雪季的雪样化学性质分析数据。化学性质包括黑碳浓度、PH值、主要阴阳离子以及电导率，积雪深度作为辅助信息。
\n普通站主要位于我国新疆、青海、西藏、内蒙及东北地区。其中，新疆、青海、内蒙及东北地区的普通站包含积雪深度、空气温度数据，西藏地区的普通站包含积雪深度和雪压数据。
\n超级站分别为1_阿勒泰站、2_天山雪崩站、3_甘德站、4_错那站、5_黑河站和6_东北森林站。观测线路主要包括1号线——新疆天山以北积雪区、2号线——新疆天山以南积雪区、3号线——青藏高原中东部积雪区、4号线——青藏高原南部积雪区、5号线——内蒙-东北积雪区，以及6号线——东北环长白山以及环小兴安岭积雪区。
\n其中，超级站和观测线路的采样数据分别存放于1个文件夹。每个文件夹包含各超级站或线路的当年数据表格以及数据分析图。数据集命名规则、时间范围及站点经纬度及海拔信息见说明文档。
", "ds_source": "本数据为自主采集并监测的野外数据。
", "ds_process_way": "本数据集通过收集气象站点和积雪线路的雪样数据，存于无菌的whirl-pak自封袋，立刻置于保温箱低温保存。样品运输回实验室后，置于-18℃的冷冻箱中保存。测试分析前，将样品放于常温自然融化，并分别通过pH计、电导率仪、离子色谱检测仪检测样品的pH值、电导率和阴阳离子含量。
", "ds_quality": "首先进行雪样采集，之后对数据进行实验室检测。检测完成后对结果进行复查，如有异常重新进行实验。之后进行数据质量控制。
\n数据质量控制主要对数据进行了完整性、准确性检查。数据完整性检查主要检查数据的观测点数目及观测字段是否达到项目要求。数据准确性检查一方面通过数值图示判断异常值并进行剔除，另一方面对数据的存储方式、数据格式进行统一与规范。其中，结果中n.a.代表0（机器未检测到）； /代表样品丢失；-6999代表缺测；空白行代表没有采样（无雪）或者样品丢失。平行样本代表一个样地采集的三个样本，用于平行对比。
\n最后整合各年度、各数据源数据，得到完整、准确、格式一致的积雪化学数据集。
", "ds_acq_start_time": "2017-01-01 00:00:00", "ds_acq_end_time": "2021-04-30 00:00:00", "ds_acq_place": "新疆、青海、西藏、内蒙古、东北地区", "ds_acq_lon_east": 128.46666666666667, "ds_acq_lat_south": 27.979999999999997, "ds_acq_lon_west": 84.4, "ds_acq_lat_north": 46.96361111111111, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 3490340, "ds_files_count": 62, "ds_format": "xlsx，jpg", "ds_space_res": null, "ds_time_res": "日、时、分", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "954aae33-9eb3-43db-ba75-b96e2d0b5710.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "本数据集可使用表格编辑软件（如Excel）或数据库软件读取、分析，亦可利用地理信息系统软件进行空间化。具体使用过程中，可首先查询需要的站点信息，之后通过站点信息找到对应的表格与表单进行数据获取。", "ds_from_station": null, "organization_id": "aba68fe5-65d3-41b1-b036-bc274a834b5e", "ds_serv_man": "李红星", "ds_serv_phone": "0931-4967592", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "10.12072/ncdc.I-SNOW.db0016.2021", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2021-10-21 17:53:20", "last_updated": "2023-03-06 13:00:29", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.isnow.db2521.2022", "i18n": { "en": { "title": "dataset of chemical properties of snow in the typical regions of China during 2017-2021", "ds_format": "xlsx，jpg", "ds_source": " <pre><code>\nThis data is the field data collected and monitored independently.
", "ds_quality": " <pre><code>\nFirstly, collect the snow sample, and then carry out laboratory test on the data. After the test, recheck the results. If there is any abnormality, repeat the experiment. Then data quality control is carried out.\n Data quality control mainly checks the integrity and accuracy of data. Data integrity check mainly checks whether the number of observation points and observation fields of data meet the project requirements. On the one hand, abnormal values are judged and eliminated through numerical diagrams. On the other hand, the data storage mode and data format are unified and standardized. In the result, N.A. represents 0 (not detected by the machine)/ Loss of representative samples- 6999 represents missing measurement; Blank lines represent no samples (no snow) or missing samples. Parallel samples represent three samples collected from a sample plot for parallel comparison.\n Finally, integrate the data of each year and each data source to obtain a complete, accurate and consistent snow chemistry data set.
", "ds_ref_way": "", "ds_abstract": " <pre><code>\nThis data set contains the analysis data of chemical properties of snow samples from 6 Super stations in typical snow areas in China in 2017-2020, 6 lines in 2017-2019 and 2020-2021. Chemical properties include black carbon concentration, pH value, main cation and anion and conductivity. Snow depth is used as auxiliary information.\n Ordinary stations are mainly located in Xinjiang, Qinghai, Tibet, Inner Mongolia and Northeast China. Among them, ordinary stations in Xinjiang, Qinghai, Inner Mongolia and Northeast China contain snow depth and air temperature data, and ordinary stations in Tibet contain snow depth and snow pressure data.\n The super stations are 1_ Altay station, 2_ Tianshan avalanche station, 3_ Gande station, 4_ Wrong station, 5_ Heihe station and 6_ Northeast forest station. The observation lines mainly include line 1 - snow area north of Tianshan Mountain in Xinjiang, line 2 - snow area south of Tianshan Mountain in Xinjiang, line 3 - snow area in the Middle East of Qinghai Tibet Plateau, line 4 - snow area in the south of Qinghai Tibet Plateau, line 5 - Inner Mongolia northeast snow area, and line 6 - snow area around Changbai Mountain and Xiaoxing'an Mountain in the northeast.\n Among them, the sampling data of super station and observation line are stored in one folder respectively. Each folder contains the current year data table and data analysis diagram of each super station or line. The data set naming rules, time range and station longitude, latitude and altitude information are shown in the description document.
", "ds_time_res": "日、时、分", "ds_acq_place": "Xinjiang, Qinghai, Tibet, Inner Mongolia and Northeast China", "ds_space_res": "", "ds_projection": "", "ds_process_way": " <pre><code>\nThis data set collects the snow sample data of meteorological stations and snow lines, stores them in sterile whirl Pak self sealing bags, and immediately puts them in an incubator for low temperature storage. After the samples are transported back to the laboratory, they shall be stored in a freezer at - 18 ℃. Before test and analysis, the sample shall be naturally melted at room temperature, and the pH value, conductivity and cation and anion content of the sample shall be detected by pH meter, conductivity meter and ion chromatography detector respectively.
", "ds_ref_instruction": " " } }, "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, "is_paper_in_submitting": false, "ds_topic_tags": [ "典型积雪区", "雪深", "阴阳离子", "PH", "电导率" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "新疆", "西藏", "内蒙", "东北地区", "青海省" ], "ds_time_tags": [ 2017, 2018, 2019, 2020, 2021 ], "ds_contributors": [ { "true_name": "车涛", "email": "chetao@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": "王宁练", "email": "", "work_for": "", "country": "" } ], "ds_meta_authors": [ { "true_name": "戴礼云", "email": "dailiyun@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": "车涛", "email": "chetao@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": "积雪" }