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961.
962.
湖北第二批国家珍稀濒危保护植物 总被引:2,自引:1,他引:2
本文经调查记述了湖北第二批国家重点保护植物16种,分属12科16属,可为我省珍稀濒危植物资源的保护及合理利用提供参考。 相似文献
963.
水氮互作对冬小麦田氨挥发损失和产量的影响 总被引:6,自引:0,他引:6
2015-2017年利用水肥渗漏研究池,以‘石麦15’(SM15)为材料,采用随机区组设计,设置2个氮肥类型(尿素和有机肥牛粪)、2个施氮水平(180和90 kg·hm-2)、2个灌溉水平(500和250 mm)进行试验,探讨水、氮及其互作对冬小麦田土壤氨挥发损失量和籽粒产量的影响.结果表明: 施肥以后土壤氨挥发持续7 d左右.2015-2016年施肥后各处理土壤氨挥发损失总量为13.36~46.04 kg·hm-2,氨挥发氮肥损失率为8.9%~41.1%,2016-2017年各处理土壤氨挥发损失总量为14.78~52.99 kg·hm-2,氨挥发氮肥损失率为9.2%~45.8%;两年试验内氨挥发损失量最多的处理为W2U1(施尿素N 180 kg·hm-2,灌溉量250 mm),氨挥发损失率最高的处理为W2U2(施尿素N 90 kg·hm-2,灌溉量250 mm),合理的水氮管理可以显著降低土壤氨挥发损失率,施用尿素造成的土壤氨挥发损失为有机肥的2~3倍.两年试验均以W1M1(施牛粪N 180 kg·hm-2,灌溉量500 mm)的小麦产量最高,灌溉量、肥料类型和施氮量互作对冬小麦产量影响极显著.综合氨挥发损失量和冬小麦籽粒产量,本试验条件下,水氮互作效应显著,冬小麦生育期内总灌溉量500 mm、施有机肥180 kg·hm-2时冬小麦季土壤氨挥发损失率较低,产量最高,施用有机肥的增产效果优于尿素,可作为黄淮海地区冬小麦实际生产中增产增效的水肥优化管理方式. 相似文献
964.
Yuyang Liu Jiwen Liu Peng Yao Tiantian Ge Yanlu Qiao Meixun Zhao Xiao-Hua Zhang 《Systematic and applied microbiology》2018,41(6):658-668
Ammonia-oxidizing archaea (AOA) and bacteria (AOB) vary in their contribution to nitrification in different environments. The eastern China marginal seas (ECMS) are featured by complex river runoffs and ocean currents, forming different sediment patches. Here, via quantitative PCR and clone library analysis of the amoA genes, we showed that AOB were more abundant than AOA in ECMS sediments. The abundance, diversity and richness of AOA, but not AOB, were higher in the East China Sea (ECS) than in the Yellow Sea (YS) and Bohai Sea (BS). Nitrosopumilus (AOA) and Nitrosospira (AOB) were predominant lineages, but their abundances varied significantly between ECS, and BS and YS. This was mainly attributed to salinity and dissolved oxygen of the bottom water. The discovery of a high abundance of Nitrosophaera at estuarine sites suggested strong terrigenous influence exerted on the AOA community. In contrast, variations in ocean conditions played more important roles in structuring the AOB community, which was separated by bottom water dissolved oxygen into two groups: the south YS, and the north YS and BS. This study provides a comprehensive insight into the spatial distribution pattern of ammonia-oxidizing prokaryotes in ECMS sediments, laying a foundation for understanding their relative roles in nitrification. 相似文献
965.
966.
Chun-Qiao Liu Li Deng Peng Zhang Shu-Rong Zhang Luo Liu Tao Xu Fang Wang Tian-Wei Tan 《World journal of microbiology & biotechnology》2013,29(8):1391-1398
A mutant Xanthomonas maltophilia BT-112 with high α-anomer-selective glycosylation activity was screened by a series of mutation methods including UV light, N-methyl-N-nitro-N-nitroso-guanidine treatment and quick neutron mutation. The α-arbutin titer increased 15-folds compared with the parent strain. The optimal conditions for culture medium and the operational conditions for lab-scale fermenter were investigated. Under optimized conditions, the maximal hydroquinone (HQ) tolerance of cells and yield of α-arbutin were 120 mM and 30.6 g/l, respectively. The molar conversion yield of α-arbutin based on the amount of HQ supplied reached 93.6 %. The product was identified as α-arbutin by 13C NMR and 1H NMR analysis. In conclusion, the results in this work provide a one-step and cost-effective method for the large-scale production of α-arbutin. 相似文献
967.
968.
Shuxia Peng Ke ZhouWenjia Wang Zengqiang GaoYuhui Dong Quansheng Liu 《Biochemical and biophysical research communications》2014
Swt1 is an RNA endonuclease that plays an important role in quality control of nuclear messenger ribonucleoprotein particles (mRNPs) in eukaryotes; however, its structural details remain to be elucidated. Here, we report the crystal structure of the C-terminal (CT) domain of Swt1 from Saccharomyces cerevisiae, which shares common characteristics of higher eukaryotes and prokaryotes nucleotide binding (HEPN) domain superfamily. To study in detail the full-length protein structure, we analyzed the low-resolution architecture of Swt1 in solution using small angle X-ray scattering (SAXS) method. Both the CT domain and middle domain exhibited a good fit upon superimposing onto the molecular envelope of Swt1. Our study provides the necessary structural information for detailed analysis of the functional role of Swt1, and its importance in the process of nuclear mRNP surveillance. 相似文献
969.
970.
Athanasios Paschalis Simone Fatichi Jakob Zscheischler Philippe Ciais Michael Bahn Lena Boysen Jinfeng Chang Martin De Kauwe Marc Estiarte Daniel Goll Paul J. Hanson Anna B. Harper Enqing Hou Jaime Kigel Alan K. Knapp Klaus S. Larsen Wei Li Sebastian Lienert Yiqi Luo Patrick Meir Julia E. M. S. Nabel Rom Ogaya Anthony J. Parolari Changhui Peng Josep Peuelas Julia Pongratz Serge Rambal Inger K. Schmidt Hao Shi Marcelo Sternberg Hanqin Tian Elisabeth Tschumi Anna Ukkola Sara Vicca Nicolas Viovy Ying‐Ping Wang Zhuonan Wang Karina Williams Donghai Wu Qiuan Zhu 《Global Change Biology》2020,26(6):3336-3355
Changes in rainfall amounts and patterns have been observed and are expected to continue in the near future with potentially significant ecological and societal consequences. Modelling vegetation responses to changes in rainfall is thus crucial to project water and carbon cycles in the future. In this study, we present the results of a new model‐data intercomparison project, where we tested the ability of 10 terrestrial biosphere models to reproduce the observed sensitivity of ecosystem productivity to rainfall changes at 10 sites across the globe, in nine of which, rainfall exclusion and/or irrigation experiments had been performed. The key results are as follows: (a) Inter‐model variation is generally large and model agreement varies with timescales. In severely water‐limited sites, models only agree on the interannual variability of evapotranspiration and to a smaller extent on gross primary productivity. In more mesic sites, model agreement for both water and carbon fluxes is typically higher on fine (daily–monthly) timescales and reduces on longer (seasonal–annual) scales. (b) Models on average overestimate the relationship between ecosystem productivity and mean rainfall amounts across sites (in space) and have a low capacity in reproducing the temporal (interannual) sensitivity of vegetation productivity to annual rainfall at a given site, even though observation uncertainty is comparable to inter‐model variability. (c) Most models reproduced the sign of the observed patterns in productivity changes in rainfall manipulation experiments but had a low capacity in reproducing the observed magnitude of productivity changes. Models better reproduced the observed productivity responses due to rainfall exclusion than addition. (d) All models attribute ecosystem productivity changes to the intensity of vegetation stress and peak leaf area, whereas the impact of the change in growing season length is negligible. The relative contribution of the peak leaf area and vegetation stress intensity was highly variable among models. 相似文献