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| 1 | A global terrestrial ecosystem respiration dataset(2001-2010)estimated with MODIS land surface temperature and vegetation indices显示文摘This paper describes how a validated semi-empirical,but physiologically based,remote sensing model-Ensemble_all-was upscaled using MODIS land surface temperature data(MOD11C2),enhanced vegetation indices(MOD13C1)and land-cover data(MCD12C1)to produce a global terrestrial ecosystem respiration data set(Reco)for January 2001-December 2010.The temporal resolution of this data set is 1 month,the spatial resolution is 0.05°,and the range is from 55°S to 65°N and 180°W to 180°E(crop and natural vegetation mosaic is not included).After crossvalidating our data set using in-situ observations as well as Reco outputs from an empirical variable_Q10 model,a LPJ_S1 process model and a machine learning method model,we found that our data set performed well in detecting both temporal and spatial patterns in Reco’s simulation in most ecosystems across the world.This data set can be found at http://gffzze4f4599d7a764a8fh060nfvo9vooq6qvq.ffgz.tsg.suse.edu.cn/10.11922/sciencedb.934. | Jinlong Ai Shuyuan Xiao Hui Feng Huan Wang Gensuo Jia Yonghong Hu | 2020 | Big Earth Data2020，4，2： | 1 |
| 2 | Developing big ocean system in support of Sustainable Development Goals:challenges and countermeasures显示文摘The ocean is a critical part of the global ecosystem.The marine ecosystem balance is crucial for human survival and sustainable development.However,due to the impacts of global climate change and human activities,the ocean is rapidly changing,which poses an enormous threat to human health and the econ-omy.“Conserve and sustainably use the oceans,seas and marine resources”is one of the 17 Sustainable Development Goals(SDGs).Therefore,it is urgent to construct a transformative marine scientific solution to promote sustainable development.Marine data is the basis of ocean cognition and governance.Marine science has ush-ered in the era of big data with continuous advances in modern marine data acquisition.While big data provides a large amount of data for SDG research,it simultaneously brings unprecedented challenges.This study introduces an overall framework of a system for solving the current problems faced by marine data serving SDGs from the perspective of marine data management and application.Also,it articulates how the system helps the SDGs through two application cases of managing fragmented marine data and developing global climate change data products. | Bin Zhang Fuchao Li Gang Zheng Yanjun Wang Zhetao Tan Xiaofeng Li | 2021 | Big Earth Data2021，5，4： | 0 |
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