cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.522
title: 2016～2017年天宫二号空间实验室对地观测数据产品集
title: 2016～2017年天宫二号空间实验室对地观测数据产品集

description: 天宫二号空间实验室于2016年9月15日成功发射，主要搭载三个对地观测载荷——宽波段成像仪、三维成像微波高度计及多波段紫外临边成像光谱仪。目前天宫二号运行稳定，本数据集存储了2016年9月至今经过预处理后的天宫二号的对地观测数据产品。这些存档的数据产品通过载人航天空间应用数据推广服务平台（http://www.msadc.cn）面向国内外应用与研究组织、机构和团体进行分发共享服务。本数据集中的数据产品在发布前经过质量筛选和确认，数据产品质量良好，可在大气、海洋与陆地的中大尺度地物目标监测中发挥重要作用，可开展土地覆盖分类、生态环境评价、海岸线变化监测、海洋动力环境监测、内陆水体水质监测、冰川及地形监测、中上层大气状态与扰动监测和臭氧预报等方面的研究与应用
description: 天宫二号空间实验室于2016年9月15日成功发射，主要搭载三个对地观测载荷——宽波段成像仪、三维成像微波高度计及多波段紫外临边成像光谱仪。目前天宫二号运行稳定，本数据集存储了2016年9月至今经过预处理后的天宫二号的对地观测数据产品。这些存档的数据产品通过载人航天空间应用数据推广服务平台（http://www.msadc.cn）面向国内外应用与研究组织、机构和团体进行分发共享服务。本数据集中的数据产品在发布前经过质量筛选和确认，数据产品质量良好，可在大气、海洋与陆地的中大尺度地物目标监测中发挥重要作用，可开展土地覆盖分类、生态环境评价、海岸线变化监测、海洋动力环境监测、内陆水体水质监测、冰川及地形监测、中上层大气状态与扰动监测和臭氧预报等方面的研究与应用
DOI: 10.57760/sciencedb.537
title: Assessment Datasets of major agricultural disasters and disaster losses in China, 1949-2015
title: Assessment Datasets of major agricultural disasters and disaster losses in China, 1949-2015

description: As a big agricultural country, China has experienced a series of natural disasters such as the "three-year natural disaster", the “1998 floods ” and the“2008 snow storm” since the founding of the People's Republic of China. We present a detailed dataset summarizing the affected area, disaster area and the area of total crop failure at a provincial level in China; temporal coverage extends 1949-2015. Based on agricultural planting structure data and natural disaster data, We also present data of grian diasters loss by grain loss assessment model. Last, the datasets play an important role in agricultural disaster prediction, disaster prevention and reduction in the future.
description: As a big agricultural country, China has experienced a series of natural disasters such as the "three-year natural disaster", the “1998 floods ” and the“2008 snow storm” since the founding of the People's Republic of China. We present a detailed dataset summarizing the affected area, disaster area and the area of total crop failure at a provincial level in China; temporal coverage extends 1949-2015. Based on agricultural planting structure data and natural disaster data, We also present data of grian diasters loss by grain loss assessment model. Last, the datasets play an important role in agricultural disaster prediction, disaster prevention and reduction in the future.
DOI: 10.57760/sciencedb.600
title: Carbon and water fluxes observed by the Chinese Flux Observation and Research Network (2003–2005)
title: 2003–2005年中国通量观测研究联盟（ChinaFLUX）碳水通量观测数据集

description: Based on micrometeorological theory, eddy covariance technique (EC) is considered as the unique approach for direct measurement of ecosystem-scale productivity, energy balance and greenhouse gas exchange. The EC flux data provide important support for the study on the mechanism of ecosystem carbon & water coupling cycles, the spatio-temporal patterns of carbon sink capacity, and water use strategy. As the first batch observed by the Chinese Flux Observation and Research Network (ChinaFLUX), this dataset collected field measurements from of eight sites during 2003–2005after the founding of ChinaFLUX in 2002, including 4 forests, 3 grassland and 1 cropland. The data products of this dataset have been standardized following the ChinaFLUXdata processing protocols, and they provide important scientific knowledge and data basis for analyzing responses to environmental changes.
description: Based on micrometeorological theory, eddy covariance technique (EC) is considered as the unique approach for direct measurement of ecosystem-scale productivity, energy balance and greenhouse gas exchange. The EC flux data provide important support for the study on the mechanism of ecosystem carbon & water coupling cycles, the spatio-temporal patterns of carbon sink capacity, and water use strategy. As the first batch observed by the Chinese Flux Observation and Research Network (ChinaFLUX), this dataset collected field measurements from of eight sites during 2003–2005after the founding of ChinaFLUX in 2002, including 4 forests, 3 grassland and 1 cropland. The data products of this dataset have been standardized following the ChinaFLUXdata processing protocols, and they provide important scientific knowledge and data basis for analyzing responses to environmental changes.
DOI: 10.57760/sciencedb.698
title: A dataset of surface deformation along the China-Pakistan Economic Corridor from 2014 to 2018
title: 2014–2018年中巴经济走廊境内地表形变数据集

description: The dataset consists of KML data and ESRI SHAPE FILE data.The color of the KML data point indicates the average displacement, and contains information such as coherence value and deformation process curve,Sample data volume is:145MB.The property sheet of ESRI SHAPE FILE contains fields that are:ID、LAT、LON、HEIGHT、HEIGHT WRT DEM、SIGMA HEIGHT、VEL（Deformation rate）、CUMUL.DISP.(Cumulative shape variable)、COHER（Coherence coefficient）、STDEV（Cumulative form factor standard deviation）、20141021…20180619（Date field:Shape variable displacement based on the last revisit date）
description: The dataset consists of KML data and ESRI SHAPE FILE data.The color of the KML data point indicates the average displacement, and contains information such as coherence value and deformation process curve,Sample data volume is:145MB.The property sheet of ESRI SHAPE FILE contains fields that are:ID、LAT、LON、HEIGHT、HEIGHT WRT DEM、SIGMA HEIGHT、VEL（Deformation rate）、CUMUL.DISP.(Cumulative shape variable)、COHER（Coherence coefficient）、STDEV（Cumulative form factor standard deviation）、20141021…20180619（Date field:Shape variable displacement based on the last revisit date）
DOI: 10.57760/sciencedb.574
title: A dataset of glacier elevation change in the Kangri Karpo Mountains during 1980-2014
title: 1980-2014年岗日嘎布地区冰川高程变化数据集

description: 基于1980年航测地形图、2000年2月11-22日SRTM数字高程模型（DEM）和2014年的X波段TerraSAR/TanDEM雷达影像得到岗日嘎布地区冰川高程变化。大致空间范围在29°N ~ 30°N、96°E ~ 98°E内，包括帕隆藏布以南、贡日嘎布曲以北区域，覆盖面积达3600平方公里。数据集内包含两类文件：1）基于TerraSAR/TanDEM雷达影像获取的2014年数字高程模型数据；2）基于地形图、SRTM和TerraSAR/TanDEM雷达影像获取的1980-2014年冰川高程变化栅格数据。
description: 基于1980年航测地形图、2000年2月11-22日SRTM数字高程模型（DEM）和2014年的X波段TerraSAR/TanDEM雷达影像得到岗日嘎布地区冰川高程变化。大致空间范围在29°N ~ 30°N、96°E ~ 98°E内，包括帕隆藏布以南、贡日嘎布曲以北区域，覆盖面积达3600平方公里。数据集内包含两类文件：1）基于TerraSAR/TanDEM雷达影像获取的2014年数字高程模型数据；2）基于地形图、SRTM和TerraSAR/TanDEM雷达影像获取的1980-2014年冰川高程变化栅格数据。
DOI: 10.57760/sciencedb.607
title: A spatial and temporal dataset of atmospheric inorganic nitrogen wet deposition in China (1996 – 2015)
title: 1996–2015年中国大气无机氮湿沉降时空格局数据集

description: Atmospheric nitrogen (N) deposition, a major process of global N cycle, have important effects on the structure and function of natural ecosystems. With the rapid development of industry and agriculture and urbanization, N deposition in China had a sharp increase in recent decades. Therefore, how to get a spatial dataset of atmospheric N deposition is the key to study the ecological and environmental effects of N deposition on the ecosystems. Based on site-year data of N deposition from published literatures and geostatistical method, we built the spatial dataset of wet N deposition in 1996-2000, 2001-2005, 2006-2010, and 2011-2015 in China. The contents of our datasets include NH4+-N, NO3--N and DIN (sum of NH4+-N and NO3--N), and the data format is .tiff with spatial resolution of 1 km×1 km. This dataset is the first shared spatial data of N deposition in China, which could provide the important data resources for the evaluation of the effect of N deposition on ecosystems, environment, and human health, and policy support for N management at the national level.
description: Atmospheric nitrogen (N) deposition, a major process of global N cycle, have important effects on the structure and function of natural ecosystems. With the rapid development of industry and agriculture and urbanization, N deposition in China had a sharp increase in recent decades. Therefore, how to get a spatial dataset of atmospheric N deposition is the key to study the ecological and environmental effects of N deposition on the ecosystems. Based on site-year data of N deposition from published literatures and geostatistical method, we built the spatial dataset of wet N deposition in 1996-2000, 2001-2005, 2006-2010, and 2011-2015 in China. The contents of our datasets include NH4+-N, NO3--N and DIN (sum of NH4+-N and NO3--N), and the data format is .tiff with spatial resolution of 1 km×1 km. This dataset is the first shared spatial data of N deposition in China, which could provide the important data resources for the evaluation of the effect of N deposition on ecosystems, environment, and human health, and policy support for N management at the national level.
DOI: 10.57760/sciencedb.639
title: 2005-2009年法国Drôme河的正射影像和DEM数据集
title: 2005-2009年法国Drôme河的正射影像和DEM数据集

description: 地理范围包括北纬44°37′10″～44°39′40″，东经5°25′00″～5°26′50″。其中研究区域为：Drôme河长5 km河段。数据集由两部分数据组成，一是正射影像数据，二是DEM数据，共10个数据文件。以2006年数据为例，正射影像数据名为2006.tif，DEM数据名为2006 dem.tif。
description: 地理范围包括北纬44°37′10″～44°39′40″，东经5°25′00″～5°26′50″。其中研究区域为：Drôme河长5 km河段。数据集由两部分数据组成，一是正射影像数据，二是DEM数据，共10个数据文件。以2006年数据为例，正射影像数据名为2006.tif，DEM数据名为2006 dem.tif。
DOI: 10.57760/sciencedb.644
title: A dataset of China-Pakistan Economic Corridor desertification distribution in 2000-2017
title: 2000-2017年中巴经济走廊逐年荒漠化分布数据集

description: 中巴经济走廊全长约3000公里，其中1300余公里为严寒高原、干旱和荒漠区段。尤其是在南段，干旱和大面积荒漠是其主要的生态环境约束因素。本数据集采用荒漠化差值指数（DDI）评价中巴经济走廊荒漠化程度，以归一化植被指数（NDVI）与地表反照率（Albedo）为监测指标，通过构造Albedo-NDVI特征空间，并利用Albedo和NDVI之间负相关的关系，构建DDI公式，完成2000-2017年中巴经济走廊荒漠化分类专题数据集，直观反映中巴经济走廊荒漠化程度。本数据以2000年-2017年MODIS的植被指数MOD13A3和Albedo MCD43B3数据产品为数据源，数据分辩率为1KM，月合成，利用MRT工具，进行数据拼接、投影转换等影像处理，再利用中巴经济走廊区域边界，采用Python批量裁剪和计算，生成2000-2017年中巴走廊荒漠化分布数据。
description: 中巴经济走廊全长约3000公里，其中1300余公里为严寒高原、干旱和荒漠区段。尤其是在南段，干旱和大面积荒漠是其主要的生态环境约束因素。本数据集采用荒漠化差值指数（DDI）评价中巴经济走廊荒漠化程度，以归一化植被指数（NDVI）与地表反照率（Albedo）为监测指标，通过构造Albedo-NDVI特征空间，并利用Albedo和NDVI之间负相关的关系，构建DDI公式，完成2000-2017年中巴经济走廊荒漠化分类专题数据集，直观反映中巴经济走廊荒漠化程度。本数据以2000年-2017年MODIS的植被指数MOD13A3和Albedo MCD43B3数据产品为数据源，数据分辩率为1KM，月合成，利用MRT工具，进行数据拼接、投影转换等影像处理，再利用中巴经济走廊区域边界，采用Python批量裁剪和计算，生成2000-2017年中巴走廊荒漠化分布数据。
DOI: 10.57760/sciencedb.687
title: Distributional data of shallow sea coral reef in Danzhou Bay Sanya Coral Reef National Nature Reserve from 1987 to 2018
title: 1987–2018年儋州湾和三亚珊瑚礁国家级自然保护区浅海珊瑚礁分布数据集

description: ENVI 5.2 and ArcGIS 10.1 were used to process GF-2 image, Sentinel-2 image and Landsat TM/OLI image data covering sanya coral reef national nature reserve. Assisted by field research data, we used visual interpretation and threshold segmentation to summarize the rules of coral reef distribution,and to extract the spatial distributional data of shallow sea coral reefs in the Danzhou bay and Sanya coral reef national nature reserve. The accuracy of the results was verified by field spectrum information collected. Finally, We obtained the spatial distribution data of shallow sea coral reefs in phase 51. This data set can be used for analysis of the temporal and spatial changes, eco-environmental changes of coral reefs, among others. With the support time series, it clearly reflects the distributional changes of coral reefs in Sanya National Nature Reserve.
description: ENVI 5.2 and ArcGIS 10.1 were used to process GF-2 image, Sentinel-2 image and Landsat TM/OLI image data covering sanya coral reef national nature reserve. Assisted by field research data, we used visual interpretation and threshold segmentation to summarize the rules of coral reef distribution,and to extract the spatial distributional data of shallow sea coral reefs in the Danzhou bay and Sanya coral reef national nature reserve. The accuracy of the results was verified by field spectrum information collected. Finally, We obtained the spatial distribution data of shallow sea coral reefs in phase 51. This data set can be used for analysis of the temporal and spatial changes, eco-environmental changes of coral reefs, among others. With the support time series, it clearly reflects the distributional changes of coral reefs in Sanya National Nature Reserve.
DOI: 10.6084/m9.figshare.21069016
title: Supplementary covariance analysis from Risk-taking neonates do not pay a survival cost in a free-ranging large mammal, the fallow deer (<i>Dama dama</i>)

description: R-markdown file with the code and additional analysis estimating the covariance between the two personality metrics, at the among-individual level.
DOI: 10.6084/m9.figshare.21069016.v1
title: Supplementary covariance analysis from Risk-taking neonates do not pay a survival cost in a free-ranging large mammal, the fallow deer (<i>Dama dama</i>)

description: R-markdown file with the code and additional analysis estimating the covariance between the two personality metrics, at the among-individual level.
DOI: 10.6084/m9.figshare.21069019
title: Main analysis from Risk-taking neonates do not pay a survival cost in a free-ranging large mammal, the fallow deer (<i>Dama dama</i>)

description: R-markdown file containing the code to fully reproduce the main findings reported in the manuscript
DOI: 10.6084/m9.figshare.21069019.v1
title: Main analysis from Risk-taking neonates do not pay a survival cost in a free-ranging large mammal, the fallow deer (<i>Dama dama</i>)

description: R-markdown file containing the code to fully reproduce the main findings reported in the manuscript
DOI: 10.6084/m9.figshare.21069022
title: Code for producing the final dataset for the main analysis from Risk-taking neonates do not pay a survival cost in a free-ranging large mammal, the fallow deer (<i>Dama dama</i>)

description: R-markdown file with the code used for creating the final dataset, along with further description of said dataset.
DOI: 10.6084/m9.figshare.21069025
title: Data for main analyses from Risk-taking neonates do not pay a survival cost in a free-ranging large mammal, the fallow deer (<i>Dama dama</i>)

description: This contains the main datafiles which can be used to fully reproduce the main findings reported in the manuscript.
DOI: 10.6084/m9.figshare.21069025.v1
title: Data for main analyses from Risk-taking neonates do not pay a survival cost in a free-ranging large mammal, the fallow deer (<i>Dama dama</i>)

description: This contains the main datafiles which can be used to fully reproduce the main findings reported in the manuscript.
DOI: 10.57760/sciencedb.700
title: Data set of remote sensing monitoring for urban thermal pollution in Sanya city
title: 三亚市热异常遥感监测数据集

description: This data set mainly includes five folders comprised of the following: 1. Cover Map Folder: It contains data named Cover Map*.jpg format; 2. Landsat 8 OLI Remote Sensing Image Map (True Color Composition) Folder of Sanya City: It contains data in Landsat 8 OLI Remote Sensing Image Map (True Color Composition)*.jpg format; 3. Data Processing Flow Chart Folder: It contains data named Data Processing Flow Chart*. vsdx format. 4. The folder of annual thermal anomaly extraction results of Sanya City from 2008 to 2017: annual thermal anomaly extraction results of Sanya City in 2008-2017*.png format; 5. Metadata folder of annual thermal anomaly extraction results in Sanya City from 2008 to 2017: metadata of annual thermal anomaly extraction results in Sanya City in 2008-2017*.shp format; 6. Code folder: contains the *. py format code used in the data processing process; 7. Sanya Vector Boundary Folder: Sanya City Boundary Data with *. SHP format.
description: This data set mainly includes five folders comprised of the following: 1. Cover Map Folder: It contains data named Cover Map*.jpg format; 2. Landsat 8 OLI Remote Sensing Image Map (True Color Composition) Folder of Sanya City: It contains data in Landsat 8 OLI Remote Sensing Image Map (True Color Composition)*.jpg format; 3. Data Processing Flow Chart Folder: It contains data named Data Processing Flow Chart*. vsdx format. 4. The folder of annual thermal anomaly extraction results of Sanya City from 2008 to 2017: annual thermal anomaly extraction results of Sanya City in 2008-2017*.png format; 5. Metadata folder of annual thermal anomaly extraction results in Sanya City from 2008 to 2017: metadata of annual thermal anomaly extraction results in Sanya City in 2008-2017*.shp format; 6. Code folder: contains the *. py format code used in the data processing process; 7. Sanya Vector Boundary Folder: Sanya City Boundary Data with *. SHP format.
DOI: 10.6084/m9.figshare.21069022.v1
title: Code for producing the final dataset for the main analysis from Risk-taking neonates do not pay a survival cost in a free-ranging large mammal, the fallow deer (<i>Dama dama</i>)

description: R-markdown file with the code used for creating the final dataset, along with further description of said dataset.
DOI: 10.6084/m9.figshare.21069031
title: Supplementary phenotypic analysis from Risk-taking neonates do not pay a survival cost in a free-ranging large mammal, the fallow deer (<i>Dama dama</i>)

description: R-markdown file with the code and supplementary analysis of the survival model using the phenotypic values instead of the BLUPs.
DOI: 10.6084/m9.figshare.21069031.v1
title: Supplementary phenotypic analysis from Risk-taking neonates do not pay a survival cost in a free-ranging large mammal, the fallow deer (<i>Dama dama</i>)

description: R-markdown file with the code and supplementary analysis of the survival model using the phenotypic values instead of the BLUPs.
DOI: 10.57760/sciencedb.542
title: Coastal Fishing Port Geography Distribution Dataset, China 2017
title: 2017年我国沿海渔港地理分布数据集

description: In a series of data attributes of scientific data, geographic attributes are the most intuitive way of expressing data. Geographical description of the data will help users to understand the data, as well as to access and use it. Based on the database of "Fishing Port Quantity, Distribution, Function and Current Status" in Fishery Science Data Sharing Center, This paper uses the geographical attribute analysis method to construct the Fishing Port Geography Distribution Dataset, and promote the user's understanding and grasp of the data. This dataset also lays the foundation for data applications based on geographic information. The method provided in this article also provides an example for the geographic attribute analysis of other datasets.
description: In a series of data attributes of scientific data, geographic attributes are the most intuitive way of expressing data. Geographical description of the data will help users to understand the data, as well as to access and use it. Based on the database of "Fishing Port Quantity, Distribution, Function and Current Status" in Fishery Science Data Sharing Center, This paper uses the geographical attribute analysis method to construct the Fishing Port Geography Distribution Dataset, and promote the user's understanding and grasp of the data. This dataset also lays the foundation for data applications based on geographic information. The method provided in this article also provides an example for the geographic attribute analysis of other datasets.
DOI: 10.57760/sciencedb.570
title: 2011～2017年“银河画卷”巡天数据集
title: 2011～2017年“银河画卷”巡天数据集

description: 利用中国科学院紫金山天文台位于青海德令哈的13.7米毫米波望远镜及多波束超导成像频谱仪，对银河系进行12CO(J=1-0)、13CO(J=1-0)和C18O(J=1-0)三条分子谱线的巡天观测。该项目计划对银经范围−10°≤L≤250°、银纬范围−5°≤B≤5°，约2600平方度的天区进行大范围无偏巡测——即“银河画卷计划”。本数据集介绍的就是其中2011～2017年所有观测、预处理后的天文巡天数据，整个观测范围内基线噪声（rms）整体分布均匀，12CO(J=1-0)基线噪声约为0.5 K、13CO(J=1-0)和C18O(J=1-0)基线噪声约为0.3 K，基本可以满足天文科研要求。
description: 利用中国科学院紫金山天文台位于青海德令哈的13.7米毫米波望远镜及多波束超导成像频谱仪，对银河系进行12CO(J=1-0)、13CO(J=1-0)和C18O(J=1-0)三条分子谱线的巡天观测。该项目计划对银经范围−10°≤L≤250°、银纬范围−5°≤B≤5°，约2600平方度的天区进行大范围无偏巡测——即“银河画卷计划”。本数据集介绍的就是其中2011～2017年所有观测、预处理后的天文巡天数据，整个观测范围内基线噪声（rms）整体分布均匀，12CO(J=1-0)基线噪声约为0.5 K、13CO(J=1-0)和C18O(J=1-0)基线噪声约为0.3 K，基本可以满足天文科研要求。
DOI: 10.57760/sciencedb.584
title: 355颗K2-C1天区变星校准的恒星参数
title: 355颗K2-C1天区变星校准的恒星参数

description: LAMOST是位于中国科学院国家天文台兴隆观测站的大视场多目标光谱望远镜，目前拥有世界上最大的低分辨率光谱数据库，其地理位置决定了它可观测到赤纬Dec -10度以上的天区，LAMOST为众多空间项目提供了地面支持，其中包括对K2-C1（Ra:11:35:46，Dec: 01:25:02）天区脉动变星和食双星的观测。本数据利用LAMOST第三次释放的恒星参数对K2-C1天区355颗有周期变化的脉动变星和食双星的基本恒星参数进行校准，校准后的巨星和矮星有效温度误差大约为131K和104K，表面重力加速度误差大约为0.19dex和0.16dex，金属丰度误差为0.15dex和0.10dex，此数据精度将对K2-C1天区变星的研究有推动作用。
description: LAMOST是位于中国科学院国家天文台兴隆观测站的大视场多目标光谱望远镜，目前拥有世界上最大的低分辨率光谱数据库，其地理位置决定了它可观测到赤纬Dec -10度以上的天区，LAMOST为众多空间项目提供了地面支持，其中包括对K2-C1（Ra:11:35:46，Dec: 01:25:02）天区脉动变星和食双星的观测。本数据利用LAMOST第三次释放的恒星参数对K2-C1天区355颗有周期变化的脉动变星和食双星的基本恒星参数进行校准，校准后的巨星和矮星有效温度误差大约为131K和104K，表面重力加速度误差大约为0.19dex和0.16dex，金属丰度误差为0.15dex和0.10dex，此数据精度将对K2-C1天区变星的研究有推动作用。
DOI: 10.57760/sciencedb.623
title: 1952～2009年青藏高原东南部贡嘎山海螺沟流域冰川物质平衡数据集
title: 1952～2009年青藏高原东南部贡嘎山海螺沟流域冰川物质平衡数据集

description: 冰川物质平衡是反映气候变化的敏感指标，是评估冰川变化对水资源和海平面上升影响的基础。然而，青藏高原具备连续物质平衡监测的冰川数量较少，尤其是青藏高原东南部海洋型冰川分布区，加之该区域部分冰川消融区表碛分布广泛，使得青藏高原东南部海洋型冰川物质平衡总体变化特征尚不清楚。本研究基于物理机制的冰川能量–物质平衡模型、气象观测数据和格网气象数据，重建了青藏高原东南部贡嘎山东坡海螺沟流域冰川物质平衡变化数据集（文本格式）。通过与流域不同时段冰川消融和径流观测对比，验证了模型的精度。本数据集包括1952～2009年海螺沟流域冰川物质平衡数据和平衡线高度数据，总体反映了1952～2009年间海螺沟流域冰川物质平衡变化情况，可作为青藏高原东南部海洋型冰川区冰川变化、气候变化等研究的基础数据。
description: 冰川物质平衡是反映气候变化的敏感指标，是评估冰川变化对水资源和海平面上升影响的基础。然而，青藏高原具备连续物质平衡监测的冰川数量较少，尤其是青藏高原东南部海洋型冰川分布区，加之该区域部分冰川消融区表碛分布广泛，使得青藏高原东南部海洋型冰川物质平衡总体变化特征尚不清楚。本研究基于物理机制的冰川能量–物质平衡模型、气象观测数据和格网气象数据，重建了青藏高原东南部贡嘎山东坡海螺沟流域冰川物质平衡变化数据集（文本格式）。通过与流域不同时段冰川消融和径流观测对比，验证了模型的精度。本数据集包括1952～2009年海螺沟流域冰川物质平衡数据和平衡线高度数据，总体反映了1952～2009年间海螺沟流域冰川物质平衡变化情况，可作为青藏高原东南部海洋型冰川区冰川变化、气候变化等研究的基础数据。
DOI: 10.57760/sciencedb.638
title: Atmospheric nitrogen, phosphorus, and acid deposition in Chinese terrestrial ecosystems (2013)
title: 2013年中国典型生态系统大气氮、磷、酸沉降数据集

description: Atmospheric deposition is commonly considered as the most effective approach to removing various pollutants from the atmosphere. It is also one of the main sources of nutrient and heavy metal input into natural terrestrial ecosystems. A systematic observation network of atmospheric wet deposition is helpful to quantify the deposition flux and explore the spatial-temporal pattern and influencing factors of wet deposition, which provides background references for ecological assessment. Long-term in situ observation is one of the three basic tasks of the Chinese Ecosystem Research Network (CERN). In 2013, China Wet Deposition Observation Network (ChinaWD) was established based on CERN. ChinaWD has 54 observation sites now, whose scope covers the main ecosystem types of China. It focuses on China’s natural and agricultural ecosystems and has adopted a systematic observation index system, including nitrogen, phosphorus, acid, base cation and heavy metal deposition. This dataset contains wet nitrogen (N), phosphorus (P), and acid deposition from 41 sites across China in 2013. The dataset is helpful for the design of nutrient addition experiments and model simulation.
description: Atmospheric deposition is commonly considered as the most effective approach to removing various pollutants from the atmosphere. It is also one of the main sources of nutrient and heavy metal input into natural terrestrial ecosystems. A systematic observation network of atmospheric wet deposition is helpful to quantify the deposition flux and explore the spatial-temporal pattern and influencing factors of wet deposition, which provides background references for ecological assessment. Long-term in situ observation is one of the three basic tasks of the Chinese Ecosystem Research Network (CERN). In 2013, China Wet Deposition Observation Network (ChinaWD) was established based on CERN. ChinaWD has 54 observation sites now, whose scope covers the main ecosystem types of China. It focuses on China’s natural and agricultural ecosystems and has adopted a systematic observation index system, including nitrogen, phosphorus, acid, base cation and heavy metal deposition. This dataset contains wet nitrogen (N), phosphorus (P), and acid deposition from 41 sites across China in 2013. The dataset is helpful for the design of nutrient addition experiments and model simulation.