Pub Date : 2023-06-30DOI: 10.11922/11-6035.nasdc.2022.0008.zh
Fantao Kong, Min-Uk An, Jifang Liu, Rui Man, Shanshan Cao, Wei Sun
Scallion, ginger and garlic are important seasoning vegetables, which are indispensable in the daily diet of Chinese residents. Especially, ginger, garlic and their processed products play an important role in the international market. It is of great significance to grasp the historical price data to prop up the analysis of the fluctuation rules, the guidance of production and orderly operation of the market. In this paper, we collected and sorted out the transaction price data of 15 wholesale markets in Shandong Province, a major producing area of scallion, ginger and garlic in China from 2012 to 2020 to obtain this dataset of statistics on scallion, ginger and garlic transaction price. The dataset can reflect the weekly, monthly and quarterly changes of the transaction price of scallion, ginger and garlic wholesale markets in Shandong Province. It is expected to provide basic scientific data for studying the linkage change and stable price of scallion, ginger and garlic.
{"title":"A dataset of statistics on scallion, ginger and garlic transaction price in the wholesale markets of Shandong Province from 2012 to 2020","authors":"Fantao Kong, Min-Uk An, Jifang Liu, Rui Man, Shanshan Cao, Wei Sun","doi":"10.11922/11-6035.nasdc.2022.0008.zh","DOIUrl":"https://doi.org/10.11922/11-6035.nasdc.2022.0008.zh","url":null,"abstract":"Scallion, ginger and garlic are important seasoning vegetables, which are indispensable in the daily diet of Chinese residents. Especially, ginger, garlic and their processed products play an important role in the international market. It is of great significance to grasp the historical price data to prop up the analysis of the fluctuation rules, the guidance of production and orderly operation of the market. In this paper, we collected and sorted out the transaction price data of 15 wholesale markets in Shandong Province, a major producing area of scallion, ginger and garlic in China from 2012 to 2020 to obtain this dataset of statistics on scallion, ginger and garlic transaction price. The dataset can reflect the weekly, monthly and quarterly changes of the transaction price of scallion, ginger and garlic wholesale markets in Shandong Province. It is expected to provide basic scientific data for studying the linkage change and stable price of scallion, ginger and garlic.","PeriodicalId":57643,"journal":{"name":"China Scientific Data","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44081338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-30DOI: 10.11922/11-6035.csd.2023.0004.zh
Q. Jia, Rihong Wen, Li Zhou, Guangsheng Zhou, Yanbing Xie
With significant carbon sink capacity, active water vapor exchange and heat regulation capacity, wetlands are key ecosystems for stabilizing greenhouse gas emissions and mitigating climate change. Despite Liaohe Delta wetland being the largest warm temperate coastal wetland in Asia, its long-term carbon and water fluxes of the wetland are still not thoroughly examined, which limits the accuracy of simulating CO2 fluxes and regional carbon sinks. As a result, it is urgent to carry out long-term data monitoring and sorting in this area. This dataset is the flux data of the reed wetland ecosystem in Liaohe Delta from 2018 to 2020, collected from the Panjin Reed Wetland Research Station of the Northeast Ecological and Agrometeorological Field Experimental Base of China Meteorological Administration. Based on the data processing system of China Flux Observation and Research Network (ChinaFLUX), we established the standardized dataset of ecosystem carbon and key meteorological elements, including data files at half-hourly, daily, monthly and yearly scales. This dataset is of great significance in accurately evaluating the status and roles of carbon and water fluxes in the reed wetland ecosystem of Liaohe Delta in the regional and global carbon and water cycles.
{"title":"An dataset of carbon and water fluxes over the reed wetlands in Panjin City (2018–2020)","authors":"Q. Jia, Rihong Wen, Li Zhou, Guangsheng Zhou, Yanbing Xie","doi":"10.11922/11-6035.csd.2023.0004.zh","DOIUrl":"https://doi.org/10.11922/11-6035.csd.2023.0004.zh","url":null,"abstract":"With significant carbon sink capacity, active water vapor exchange and heat regulation capacity, wetlands are key ecosystems for stabilizing greenhouse gas emissions and mitigating climate change. Despite Liaohe Delta wetland being the largest warm temperate coastal wetland in Asia, its long-term carbon and water fluxes of the wetland are still not thoroughly examined, which limits the accuracy of simulating CO2 fluxes and regional carbon sinks. As a result, it is urgent to carry out long-term data monitoring and sorting in this area. This dataset is the flux data of the reed wetland ecosystem in Liaohe Delta from 2018 to 2020, collected from the Panjin Reed Wetland Research Station of the Northeast Ecological and Agrometeorological Field Experimental Base of China Meteorological Administration. Based on the data processing system of China Flux Observation and Research Network (ChinaFLUX), we established the standardized dataset of ecosystem carbon and key meteorological elements, including data files at half-hourly, daily, monthly and yearly scales. This dataset is of great significance in accurately evaluating the status and roles of carbon and water fluxes in the reed wetland ecosystem of Liaohe Delta in the regional and global carbon and water cycles.","PeriodicalId":57643,"journal":{"name":"China Scientific Data","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43099865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-30DOI: 10.11922/11-6035.csd.2023.0052.zh
Xingru Tan, Bingwei Zhang, Shiping Chen
Warming has led to remarkable changes in global precipitation pattern, which will significantly affect vegetation growth and ecosystem function of the semiarid grasslands in Northern China. As a key processe of ecosystem function, carbon and water flux determines the carbon sequestration capability and resource utilization strategies of ecosystems. Therefore, understanding the responses of ecosystem carbon and water fluxes to precipitation pattern changes and their controls will be helpful for the evaluation in the carbon sequestration capacity of grassland ecosystems. However, there is a lack of long-term experiments and observational data on the responses of carbon and water processes to precipitation pattern changes in grassland ecosystems. Based on the long-term precipitation pattern manipulative experiment (including seven precipitation amount and rain event frequency treatments), we collected seasonal dynamics of ecosystem carbon and water fluxes by the static chamber method connecting with infrared gas analyzer during 2012-2020 in Xilin Gol grassland, Inner Mongolia. The dataset consists of two data files, namely the meteorological environmental data file (including annual precipitation, air temperature, soil moisture, and soil temperature) and the carbon and water fluxes data file (including ecosystem gross primary productivity, ecosystem respiration, net ecosystem carbon exchange, evapotranspiration, carbon use efficiency, and water use efficiency). Preliminary data analysis has shown that the drought treatment could significantly reduce the carbon and water fluxes, while water addition treatment had no significant effect on them. All the parameters recovered to the control level in the first year after the treatment cessation. This dataset is expected to provide important data support for the understanding of the responses of carbon and water cycles and their coupling processes to future precipitation regime in grasslands of Northern China.
{"title":"A dataset of observational key parameters in carbon and water fluxes in a semi-arid steppe, Inner Mongolia (2012 – 2020): based on a long-term manipulative experiment of precipitation pattern","authors":"Xingru Tan, Bingwei Zhang, Shiping Chen","doi":"10.11922/11-6035.csd.2023.0052.zh","DOIUrl":"https://doi.org/10.11922/11-6035.csd.2023.0052.zh","url":null,"abstract":"Warming has led to remarkable changes in global precipitation pattern, which will significantly affect vegetation growth and ecosystem function of the semiarid grasslands in Northern China. As a key processe of ecosystem function, carbon and water flux determines the carbon sequestration capability and resource utilization strategies of ecosystems. Therefore, understanding the responses of ecosystem carbon and water fluxes to precipitation pattern changes and their controls will be helpful for the evaluation in the carbon sequestration capacity of grassland ecosystems. However, there is a lack of long-term experiments and observational data on the responses of carbon and water processes to precipitation pattern changes in grassland ecosystems. Based on the long-term precipitation pattern manipulative experiment (including seven precipitation amount and rain event frequency treatments), we collected seasonal dynamics of ecosystem carbon and water fluxes by the static chamber method connecting with infrared gas analyzer during 2012-2020 in Xilin Gol grassland, Inner Mongolia. The dataset consists of two data files, namely the meteorological environmental data file (including annual precipitation, air temperature, soil moisture, and soil temperature) and the carbon and water fluxes data file (including ecosystem gross primary productivity, ecosystem respiration, net ecosystem carbon exchange, evapotranspiration, carbon use efficiency, and water use efficiency). Preliminary data analysis has shown that the drought treatment could significantly reduce the carbon and water fluxes, while water addition treatment had no significant effect on them. All the parameters recovered to the control level in the first year after the treatment cessation. This dataset is expected to provide important data support for the understanding of the responses of carbon and water cycles and their coupling processes to future precipitation regime in grasslands of Northern China.","PeriodicalId":57643,"journal":{"name":"China Scientific Data","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41802652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-31DOI: 10.11922/11-6035.csd.2021.0078.zh
Pei Liu, Qianmei Zhang, G. Chu, Yuelin Li, De-qiang Zhang, Shi-zhong Liu, Ze Meng, Juxiu Liu, Guoyi Zhou, Xiaodong Liu
Groundwater is one of the important components in the hydrological cycle of the basin. Its dynamic change is of great value for understanding the hydrological regulation mechanism, the cycle of material elements and ecosystem service function of terrestrial ecosystem. Covered with subtropical monsoon evergreen broad-leaved forest and its transitional vegetation types, Dinghushan National Nature Reserve has been well protected since the 1950s. Dinghushan Forest Ecosystem Research Station set up four groundwater level observation wells downstream of the complete catchment area of Dinghushan Nature Reserve according to the observation specifications and quality control requirements of terrestrial ecosystem water environment, so as to carry out long-term standardized positioning observation of the depth of groundwater level. This dataset collates the long-term monitoring data of four groundwater level observation wells from 2002 to 2020. It is aimed to provide basic data support for the study of groundwater response process, the evaluation of hydrological service function of forest ecosystem and the sustainable management of forest resources under the background of global climate change.
{"title":"A dataset of groundwater level in the small watershed of Dinghushan Forest (2002 – 2020)","authors":"Pei Liu, Qianmei Zhang, G. Chu, Yuelin Li, De-qiang Zhang, Shi-zhong Liu, Ze Meng, Juxiu Liu, Guoyi Zhou, Xiaodong Liu","doi":"10.11922/11-6035.csd.2021.0078.zh","DOIUrl":"https://doi.org/10.11922/11-6035.csd.2021.0078.zh","url":null,"abstract":"Groundwater is one of the important components in the hydrological cycle of the basin. Its dynamic change is of great value for understanding the hydrological regulation mechanism, the cycle of material elements and ecosystem service function of terrestrial ecosystem. Covered with subtropical monsoon evergreen broad-leaved forest and its transitional vegetation types, Dinghushan National Nature Reserve has been well protected since the 1950s. Dinghushan Forest Ecosystem Research Station set up four groundwater level observation wells downstream of the complete catchment area of Dinghushan Nature Reserve according to the observation specifications and quality control requirements of terrestrial ecosystem water environment, so as to carry out long-term standardized positioning observation of the depth of groundwater level. This dataset collates the long-term monitoring data of four groundwater level observation wells from 2002 to 2020. It is aimed to provide basic data support for the study of groundwater response process, the evaluation of hydrological service function of forest ecosystem and the sustainable management of forest resources under the background of global climate change.","PeriodicalId":57643,"journal":{"name":"China Scientific Data","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43215831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Scientific data have become a basic and strategic resource for innovation and development. As an important carrier of scientific data for long-term preservation and sharing, scientific data centers play an increasingly significant role in supporting the development of scientific and technological innovation. Based on more than 40 years of scientific database development and three years of active exploration, by the end of 2021, CAS had built a scientific data center system of "one general center, 18 disciplinary centers and 13 institutional centers". The total amount of data resources is about 100 PB, basically realizing the normal operation and service of the scientific data center system, and serving as a strong support for scientific and technological innovation in the era of big data. In the future, it will further optimize and improve the layout of the scientific data center system, continuously promote the archiving of scientific data resources, create a series of scientific data brands, develop an innovative environment of data intelligence, and support integrative scientific innovation under the new paradigm.
{"title":"Scientific data center system of Chinese Academy of Sciences: practices and prospects","authors":"Xin Chen, Xiaohuan Zheng, Boya Pan, Zhihong Shen, Yuanchun Zhou, Dawei Chu","doi":"10.11922/11-6035.csd.2023.0044.zh","DOIUrl":"https://doi.org/10.11922/11-6035.csd.2023.0044.zh","url":null,"abstract":"Scientific data have become a basic and strategic resource for innovation and development. As an important carrier of scientific data for long-term preservation and sharing, scientific data centers play an increasingly significant role in supporting the development of scientific and technological innovation. Based on more than 40 years of scientific database development and three years of active exploration, by the end of 2021, CAS had built a scientific data center system of \"one general center, 18 disciplinary centers and 13 institutional centers\". The total amount of data resources is about 100 PB, basically realizing the normal operation and service of the scientific data center system, and serving as a strong support for scientific and technological innovation in the era of big data. In the future, it will further optimize and improve the layout of the scientific data center system, continuously promote the archiving of scientific data resources, create a series of scientific data brands, develop an innovative environment of data intelligence, and support integrative scientific innovation under the new paradigm.","PeriodicalId":57643,"journal":{"name":"China Scientific Data","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41859673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-31DOI: 10.11922/11-6035.csd.2022.0058.zh
The Mongolian Plateau has a great impact on the ecological security in northern China. Vegetation has an important indicator effect on climate change and ecological environment. The spatial-temporal pattern and trend of vegetation are important indicators for evaluating regional ecological conditions. Based on MOD13Q1 NDVI data, we used R language to call Google Earth Engine service for monthly maximum synthesis in this study. And we then used R language terra package to complete the annual mean synthesis of the growing season, coefficient of variation calculation, Theil-Sen median trend analysis, Mann-Kendall test and Hurst index calculation, so as to form a dataset of 250m-resolution NDVI of spatio-temporal variations of vegetation in the growing season on the Mongolian Plateau (2001–2021). The dataset contains the spatial and temporal variation patterns and trend characteristics of vegetation on the Mongolian Plateau. Through data sharing, it can provide data support for scientific understanding of temporal and spatial variation of vegetation cover on the Mongolian Plateau.
{"title":"A dataset of 250m-resolution NDVI of spatio-temporal variations of vegetation in the growing season on the Mongolian Plateau (2001–2021)","authors":"","doi":"10.11922/11-6035.csd.2022.0058.zh","DOIUrl":"https://doi.org/10.11922/11-6035.csd.2022.0058.zh","url":null,"abstract":"The Mongolian Plateau has a great impact on the ecological security in northern China. Vegetation has an important indicator effect on climate change and ecological environment. The spatial-temporal pattern and trend of vegetation are important indicators for evaluating regional ecological conditions. Based on MOD13Q1 NDVI data, we used R language to call Google Earth Engine service for monthly maximum synthesis in this study. And we then used R language terra package to complete the annual mean synthesis of the growing season, coefficient of variation calculation, Theil-Sen median trend analysis, Mann-Kendall test and Hurst index calculation, so as to form a dataset of 250m-resolution NDVI of spatio-temporal variations of vegetation in the growing season on the Mongolian Plateau (2001–2021). The dataset contains the spatial and temporal variation patterns and trend characteristics of vegetation on the Mongolian Plateau. Through data sharing, it can provide data support for scientific understanding of temporal and spatial variation of vegetation cover on the Mongolian Plateau.","PeriodicalId":57643,"journal":{"name":"China Scientific Data","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48195422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Located in the northeastern part of the Qinghai-Tibetan Plateau, Qinghai Province (31°39′–39°19′N, 89°35′–103°04′E) is the source region of the Yangtze River, the Yellow River and the Lantsang River. It is known as the China Water Tower. Contemporary survey of lakes in Qinghai Province is of great significance for understanding the impacts of climate change and promoting the ecological civilization construction. Based on Sentinel-2A/2B MSI images acquired in 2020, we first extracted the pixels of water body on account of the feature that the normalized difference water index (NDWI) greater than the normalized difference vegetation index (NDVI). Then we built the vector dataset of lake boundary with an area above 1.0 km2 in Qinghai Province after manual inspection and revision. Some attributes of the lake including its name, area, elevation, basin, administration and date were also attached. This dataset reflects the distribution of lakes in Qinghai Province in 2020, and can be used as a data source and scientific basis for researches on lake ecological protection, rational use of regional water resources, disaster prevention and mitigation in Qinghai Province.
{"title":"A dataset of boundaries data of the lakes (≥1.0 km2) in Qinghai Province in 2020","authors":"Hongfang Zhang, X. Yao, Jianshe Xiao, Yu Wang, T. Sha, Cong Zhang","doi":"10.11922/11-6035.csd.2021.0075.zh","DOIUrl":"https://doi.org/10.11922/11-6035.csd.2021.0075.zh","url":null,"abstract":"Located in the northeastern part of the Qinghai-Tibetan Plateau, Qinghai Province (31°39′–39°19′N, 89°35′–103°04′E) is the source region of the Yangtze River, the Yellow River and the Lantsang River. It is known as the China Water Tower. Contemporary survey of lakes in Qinghai Province is of great significance for understanding the impacts of climate change and promoting the ecological civilization construction. Based on Sentinel-2A/2B MSI images acquired in 2020, we first extracted the pixels of water body on account of the feature that the normalized difference water index (NDWI) greater than the normalized difference vegetation index (NDVI). Then we built the vector dataset of lake boundary with an area above 1.0 km2 in Qinghai Province after manual inspection and revision. Some attributes of the lake including its name, area, elevation, basin, administration and date were also attached. This dataset reflects the distribution of lakes in Qinghai Province in 2020, and can be used as a data source and scientific basis for researches on lake ecological protection, rational use of regional water resources, disaster prevention and mitigation in Qinghai Province.","PeriodicalId":57643,"journal":{"name":"China Scientific Data","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43443030","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-31DOI: 10.11922/11-6035.csd.2023.0085.zh
Juanle Wang
{"title":"Preface to the special issue of Resources and Environment Data of Mongolian Plateau","authors":"Juanle Wang","doi":"10.11922/11-6035.csd.2023.0085.zh","DOIUrl":"https://doi.org/10.11922/11-6035.csd.2023.0085.zh","url":null,"abstract":"","PeriodicalId":57643,"journal":{"name":"China Scientific Data","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42437085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-31DOI: 10.11922/11-6035.csd.2023.0002.zh
Yating Shao, Juanle Wang
Vegetation phenology is one of the sensitive indicators reflecting global climate change and vegetation growth. Inner Mongolia is an important part of the ecological security barrier of the Mongolian Plateau, and a key area for resource development, environmental protection and ecological security in China. The study on the vegetation phenological changes of Inner Mongolia is of great significance for understanding the characteristics of climate change and extreme climate events in Inner Mongolia. Based on the normalized differential vegetation index (NDVI) in the high-spatial resolution MOD13Q1 data product, we used Google Earth Engine platform to process MODIS-NDVI raw data for format conversion, projection conversion and clipping, and exported NDVI long time series data from 2000 to 2021. Then, we adopted the dynamic threshold method to obtain a dataset of vegetation phenology of Inner Mongolia from 2001 to 2020. With a resolution of 250 m, this dataset contains remote sensing monitoring data of the start of growing season (SOS), the end of growing season (EOS), and the length of growing season (LOS) in Inner Mongolia from 2001 to 2019. It can provide data support for understanding the temporal and spatial variation of vegetation phenology in Inner Mongolia and its response to climate change.
{"title":"A dataset of vegetation phenology of Inner Mongolia (2001-2020)","authors":"Yating Shao, Juanle Wang","doi":"10.11922/11-6035.csd.2023.0002.zh","DOIUrl":"https://doi.org/10.11922/11-6035.csd.2023.0002.zh","url":null,"abstract":"Vegetation phenology is one of the sensitive indicators reflecting global climate change and vegetation growth. Inner Mongolia is an important part of the ecological security barrier of the Mongolian Plateau, and a key area for resource development, environmental protection and ecological security in China. The study on the vegetation phenological changes of Inner Mongolia is of great significance for understanding the characteristics of climate change and extreme climate events in Inner Mongolia. Based on the normalized differential vegetation index (NDVI) in the high-spatial resolution MOD13Q1 data product, we used Google Earth Engine platform to process MODIS-NDVI raw data for format conversion, projection conversion and clipping, and exported NDVI long time series data from 2000 to 2021. Then, we adopted the dynamic threshold method to obtain a dataset of vegetation phenology of Inner Mongolia from 2001 to 2020. With a resolution of 250 m, this dataset contains remote sensing monitoring data of the start of growing season (SOS), the end of growing season (EOS), and the length of growing season (LOS) in Inner Mongolia from 2001 to 2019. It can provide data support for understanding the temporal and spatial variation of vegetation phenology in Inner Mongolia and its response to climate change.","PeriodicalId":57643,"journal":{"name":"China Scientific Data","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45926655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-31DOI: 10.11922/11-6035.ncdc.2023.0001.zh
Yan Xi, Lihua Kong, Yang Wang, Shushu Chen
With the booming trend of data publishing, data journals have carried out much extensive practice for the exploration of open data sharing. This study focuses on the publishing practice of data journals, which took representative, relatively mature and different disciplinary scopes of data journals as the research objects. The publishing volume and proportion of data papers in data journals are calculated. Based on the author's practical experience in data publishing for several years, this study explores the formulation rules and implementation of data publishing policies. The study results show that data journals generally have well-developed regulations on data use license, data storage and permanent identifier, associated access from paper to data, data review, standardized data citation, but with few practical cases of data update and less attention paid to the problem of data security and data copyright. To facilitate the further development of data journals, we proposed in this study that more operational and reference details of data publishing should be considered in the practice of data publishing in journals.
{"title":"Research on the practice and exploration progress of data journals","authors":"Yan Xi, Lihua Kong, Yang Wang, Shushu Chen","doi":"10.11922/11-6035.ncdc.2023.0001.zh","DOIUrl":"https://doi.org/10.11922/11-6035.ncdc.2023.0001.zh","url":null,"abstract":"With the booming trend of data publishing, data journals have carried out much extensive practice for the exploration of open data sharing. This study focuses on the publishing practice of data journals, which took representative, relatively mature and different disciplinary scopes of data journals as the research objects. The publishing volume and proportion of data papers in data journals are calculated. Based on the author's practical experience in data publishing for several years, this study explores the formulation rules and implementation of data publishing policies. The study results show that data journals generally have well-developed regulations on data use license, data storage and permanent identifier, associated access from paper to data, data review, standardized data citation, but with few practical cases of data update and less attention paid to the problem of data security and data copyright. To facilitate the further development of data journals, we proposed in this study that more operational and reference details of data publishing should be considered in the practice of data publishing in journals.","PeriodicalId":57643,"journal":{"name":"China Scientific Data","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44811102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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