This work is funded by the National Natural Science Foundation of China[Grant Nos.41930650,41631178];the Program of International S&T Cooperation,the Ministry of Science and Technology of China[Grant No.2015DFA11360]。
30-m Global Land Cover(GLC)data products permit the detection of land cover changes at the scale of most human land activities,and are therefore used as fundamental information for sustainable development,environmenta...
supported by Guangdong Provincial Novel Coronavirus Scientific and Technological Project(2020111107001[B.D.]);National Science and Technology Major Project of the Ministry of Science and Technology of China(2017ZX10103011[B.D.]).
Dear Editor,Recent study showed that around 80%of coronavirus disease-19(COVID-19)patients are moderate cases who will recover with or without conventional treatment,while the remaining 20%developed severe disease req...
supported by the National Natural Science Foundation of China (No.21337002);the National Basic Research Program (973) of China (No.2015CB453100)
Short-chain chlorinated paraffins(SCCPs) are produced in high volume and have the high potential to pose a threat to human health. However, little information is available for SCCP contamination in human blood/plasma/...
This work was jointly supported by National Natural Science Foundation of China[41671363];National Basic Research Program of China[2013CB733401];National High Technology Research and Development Program of China:[2013AA12A301].
Quantitative remote sensing product(QRSP)validation is a complex process to assess the accuracy and uncertainty independently using reference data with multiple land cover types and long-time series.A web-based system...
supported by the National Natural Science Foundation of China(91541201,91641205,51622605);the National Basic Research Program of China(2013CB834602);the National Postdoctoral Program for Innovative Talents(BX201600100);China Postdoctoral Science Foundation(2016M600312)
In the past decades, combustion chemistry research grew rapidly due to the development of combustion diagnostic methods,quantum chemistry methods, kinetic theory, and computational techniques. A lot of kinetic models ...
National Key Technology Research and Development Program of Ministry of Science and Technology of China(2011BAI07B07);National Natural Science Foundation of China(81072987);Top Science and Technology Innovation Teams of Higher Learning Institutions of Shanxi Province(201401);Fund for Shanxi Key Subjects Construction(FSKSC)(201612)
Objective To identify reliable reference genes(RGs) for normalization of real-time PCR(RT-q PCR) data in Codonopsis pilosula. Methods The expression profiles of 10 candidate RGs(GAPDH, ACT, α-TUB, β-TUB, UBQ, C...
financially supported by the National Key Basic Research Program of China(973 program,grant no.:2013CB733302,2013CB733301);the Major International(Regional) Joint Research Project(grant no.:41210006);DAAD Thematic Network Project(grant no.:57173947);the National Natural Science Foundation of China(grant No.41374022)
We compile the GOCE-only satellite model GOSG01S complete to spherical harmonic degree of 220 using Satellite Gravity Gradiometry (SGG) data and the Satellite-to-Satellite Tracking (SST) observations along the GOC...
This research is jointly supported by the National Basic Research Program of China under Grant 2013CB733401;the Natural Science Foundation of China under Grant nos.41671363 and 91125003.
One of the essential steps for satellite albedo validation is upscaling in situ measurements to corresponding pixel scale over relatively heterogeneous land surfaces.Although the multi-scale validation strategy is app...
supported by the National Key Basic Research Program of China (NKBRP) 2014CB845700;supported by National Natural Science Foundation of China (Grant Nos.11473001 and 11233004)
The Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) published its first data release (DR1) in 2013, which is currently the largest dataset of stellar spectra in the world. We combine the PASTEL ...
supported by the National Basic Research Program of China(Grant No.2010CB951804);the China Meteorological Administration Special Fund for Scientific Research in the Public Interest(Grant No.GYHY201206008)
The Los Alamos sea ice model(CICE) is used to simulate the Arctic sea ice variability from 1948 to 2009. Two versions of CICE are validated through comparison with Hadley Centre Global Sea Ice and Sea Surface Temperat...