{"id":"a58b7d51-7f4f-4c95-a0b1-4cb1ed4ff1dd","title":"中国高寒地区地表过程与环境观测网络水文数据集（2018）","title_en":"Hydrological dataset of China alpine region surface process and environmental observation network (2018)","serial":"","user_limit":"为尊重知识产权、保障数据作者的权益、扩展数据中心的服务、评估数据的应用潜力，请数据使用者在使用数据所产生的研究成果中（包括公开发表的论文、论著、数据产品和未公开发表的研究报告、数据产品等成果），明确注明数据来源和数据作者。对于转载（二次或多次发布）的数据，作者还须注明原始数据来源。","instructions":"表格形式，可以采用EXCEL打开查看和分析.","description":"在高寒网各野外站和泛第三极地区境外台站的长期观测数据基础上，建立泛第三极地区气象、水文及生态要素系列数据集；通过重点区域的强化观测与样地和样点验证，完成气象要素、湖泊水量与水质、地上植被生物量、冰川冻土变化等数据产品的反演；基于物联网技术，研制建立多站联网的气象、水文、生态数据管理平台，实现联网数据实时获取与远程控制及共享。\n2018年中国高寒地区地表过程与环境观测网络水文数据集，主要收集：祁连山站、藏东南站、珠峰站、玉龙雪山站、纳木错站、阿里站、慕士塔格等七个站 点逐日实测水文（径流、水位、水温等）数据。","doi":"10.11888/Hydro.tpdc.270026","projection":"","language":"zh","share_type":"offline","east":103.0,"west":75.0,"south":27.0,"north":43.0,"scale":null,"crs":null,"filesize":2.36,"share_policy":"c","ts_created":"2019-08-12T11:00:37.585739+08:00","doi_type":"拥有自主知识产权","ts_updated":"2021-10-15T10:52:19.414666+08:00","time_description":"","datas_group":0,"time_description_en":"","data_format":null,"project":[11],"specials":["d752b89e-479e-4572-ba1e-30fd6c77dca0"],"cite":null,"review_status":5,"review_invite":[{"user_name":"王磊","username":"wangshenglei98","email":"wanglei@itpcas.ac.cn","is_cancel_expert":false},{"user_name":"张国庆","username":"gqzhang","email":"guoqing.zhang@itpcas.ac.cn","is_cancel_expert":false},{"user_name":"郭建文-测试","username":"郭-测试","email":"guojw2006@qq.com","is_cancel_expert":false}],"review_editor":null,"data_sources":"","temporal_resolution":"Yearly","spatial_resolution":"km","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[6],"subtopics":{"metadata":"a58b7d51-7f4f-4c95-a0b1-4cb1ed4ff1dd","three_pole":null,"third_pole":"XDA20020102"},"username":"XDA20020102","review_time":"2020-11-01T03:09:30.577882+08:00","protected_duration":0,"protected_describe":"保护期2年已过，按照离线C方式共享","is_important":true,"hit_count":5834}