中国科学院机构知识库网格系统: 检索

Ecosystem responses dominate the trends of annual gross primary productivity over terrestrial ecosystems of China during 2000-2020 期刊论文 OAI收割
AGRICULTURAL AND FOREST METEOROLOGY, 2023, 卷号: 343, 页码: 109758
作者: Zhu, Xian-Jin; Yu, Gui-Rui; Chen, Zhi; Zhang, Wei-Kang; Han, Lang

|

收藏 | 浏览/下载：29/0 | 提交时间：2023/12/04

Carbon cycles Eddy covariance Terrestrial ecosystems Machine learning Ecosystem responses

Mapping Chinese annual gross primary productivity with eddy covariance measurements and machine learning 期刊论文 OAI收割
SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 卷号: 857, 页码: 18
作者: Zhu, Xian-Jin; Yu, Gui-Rui; Chen, Zhi; Zhang, Wei-Kang; Han, Lang

|

收藏 | 浏览/下载：126/0 | 提交时间：2022/12/09

Carbon cycle Climate change Eddy covariance Terrestrial ecosystem Machine learning Scale extension

Mapping Chinese annual gross primary productivity with eddy covariance measurements and machine learning 期刊论文 OAI收割
SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 卷号: 857, 页码: 18
作者:

|

收藏 | 浏览/下载：42/0 | 提交时间：2022/12/09

Carbon cycle Climate change Eddy covariance Terrestrial ecosystem Machine learning Scale extension

Ecosystem responses dominate the trends of annual gross primary productivity over terrestrial ecosystems of China during 2000-2020 期刊论文 OAI收割
AGRICULTURAL AND FOREST METEOROLOGY, 2023, 卷号: 343
作者: Zhu, Xian-Jin; Yu, Gui-Rui; Chen, Zhi; Zhang, Wei-Kang; Han, Lang

|

收藏 | 浏览/下载：27/0 | 提交时间：2023/12/01

Mapping Chinese annual gross primary productivity with eddy covariance measurements and machine learning 期刊论文 OAI收割
SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 卷号: 857
作者: Zhu, Xian-Jin; Yu, Gui-Rui; Chen, Zhi; Zhang, Wei-Kang; Han, Lang

|

收藏 | 浏览/下载：42/0 | 提交时间：2024/03/07

Carbon cycle Climate change Eddy covariance Terrestrial ecosystem Machine learning Scale extension

Spatiotemporal Pattern of Ecosystem Respiration in China Estimated by Integration of Machine Learning With Ecological Understanding 期刊论文 OAI收割
GLOBAL BIOGEOCHEMICAL CYCLES, 2022, 卷号: 36, 期号: 11, 页码: 15
作者: Han, Lang; Yu, Gui-Rui; Chen, Zhi; Zhu, Xian-Jin; Zhang, Wei-Kang

|

收藏 | 浏览/下载：67/0 | 提交时间：2022/12/23

ecosystem respiration eddy covariance terrestrial ecosystem machine learning substrate scale extension

Spatiotemporal Pattern of Ecosystem Respiration in China Estimated by Integration of Machine Learning With Ecological Understanding 期刊论文 OAI收割
GLOBAL BIOGEOCHEMICAL CYCLES, 2022, 卷号: 36, 期号: 11, 页码: 15
作者: Han, Lang; Yu, Gui-Rui; Chen, Zhi; Zhu, Xian-Jin; Zhang, Wei-Kang

|

收藏 | 浏览/下载：55/0 | 提交时间：2022/12/23

ecosystem respiration eddy covariance terrestrial ecosystem machine learning substrate scale extension

Spatiotemporal Pattern of Ecosystem Respiration in China Estimated by Integration of Machine Learning With Ecological Understanding 期刊论文 OAI收割
GLOBAL BIOGEOCHEMICAL CYCLES, 2022, 卷号: 36, 期号: 11
作者: Han, Lang; Yu, Gui-Rui; Chen, Zhi; Zhu, Xian-Jin; Zhang, Wei-Kang

|

收藏 | 浏览/下载：40/0 | 提交时间：2024/03/07

ecosystem respiration eddy covariance terrestrial ecosystem machine learning substrate scale extension

Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) 期刊论文 OAI收割
AUTOPHAGY, 2021, 卷号: 17
作者: Klionsky, Daniel J.; Abdel-Aziz, Amal Kamal; Abdelfatah, Sara; Abdellatif, Mahmoud; Abdoli, Asghar

|

收藏 | 浏览/下载：318/0 | 提交时间：2021/05/31

Autophagosome cancer flux LC3 lysosome macroautophagy neurodegeneration phagophore stress vacuole

Amplitude analysis of the pi(0)pi(0) system produced in radiative J/psi decays 期刊论文 OAI收割
PHYSICAL REVIEW D, 2015, 卷号: 92, 期号: 5
Ablikim, M; Achasov, MN; Ai, XC; Albayrak, O; Albrecht, M; Ambrose, DJ; Amoroso, A; An, FF; An, Q; Bai, JZ; Ferroli, RB; Ban, Y; Bennett, DW; Bennett, JV; Bertani, M; Bettoni, D; Bian, JM; Bianchi, F; Boger, E; Bondarenko, O; Boyko, I; Briere, RA; Cai, H; Cai, X; Cakir, O; Calcaterra, A; Cao, GF; Cetin, SA; Chang, JF; Chelkov, G; Chen, G; Chen, HS; Chen, HY; Chen, JC; Chen, ML; Chen, SJ; Chen, X; Chen, XR; Chen, YB; Cheng, HP; Chu, XK; Cibinetto, G; Cronin-Hennessy, D; Dai, HL; Dai, JP; Dbeyssi, A; Dedovich, D; Deng, ZY; Denig, A; Denysenko, I; Destefanis, M; De Mori, F; Ding, Y; Dong, C; Dong, J; Dong, LY; Dong, MY; Du, SX; Duan, PF; Eren, EE; Fan, JZ; Fang, J; Fang, SS; Fang, X; Fang, Y; Fava, L; Feldbauer, F; Felici, G; Feng, CQ; Fioravanti, E; Fritsch, M; Fu, CD; Gao, Q; Gao, XY; Gao, Y; Gao, Z; Garzia, I; Geng, C; Goetzen, K; Gong, WX; Gradl, W; Greco, M; Gu, MH; Gu, YT; Guan, YH; Guo, AQ; Guo, LB; Guo, Y; Guo, YP; Haddadi, Z; Hafner, A; Han, S; Han, YL; Hao, XQ; Harris, FA; He, KL; He, ZY; Held, T; Heng, YK; Hou, ZL; Hu, C; Hu, HM; Hu, JF; Hu, T; Hu, Y; Huang, GM; Huang, GS; Huang, HP; Huang, JS; Huang, XT; Huang, Y; Hussain, T; Ji, Q; Ji, QP; Ji, XB; Ji, XL; Jiang, LL; Jiang, LW; Jiang, XS; Jiang, XY; Jiao, JB; Jiao, Z; Jin, DP; Jin, S; Johansson, T; Julin, A; Kalantar-Nayestanaki, N; Kang, XL; Kang, XS; Kavatsyuk, M; Ke, BC; Kiese, P; Kliemt, R; Kloss, B; Kolcu, OB; Kopf, B; Kornicer, M; Kuhn, W; Kupsc, A; Lange, JS; Lara, M; Larin, P; Leng, C; Li, C; Li, CH; Li, C; Li, DM; Li, F; Li, G; Li, HB; Li, JC; Li, J; Li, K; Li, K; Li, L; Li, PR; Li, T; Li, WD; Li, WG; Li, XL; Li, XM; Li, XN; Li, XQ; Li, ZB; Liang, H; Liang, YF; Liang, YT; Liao, GR; Lin, DX; Liu, BJ; Liu, CX; Liu, FH; Liu, F; Liu, F; Liu, HB; Liu, HH; Liu, HH; Liu, HM; Liu, J; Liu, JB; Liu, JP; Liu, JY; Liu, K; Liu, KY; Liu, LD; Liu, PL; Liu, Q; Liu, SB; Liu, X; Liu, XX; Liu, YB; Liu, ZA; Liu, ZQ; Liu, ZQ; Loehner, H; Lou, XC; Lu, HJ; Lu, JG; Lu, RQ; Lu, Y; Lu, YP; Luo, CL; Luo, MX; Luo, T; Luo, XL; Lv, M; Lyu, XR; Ma, FC; Ma, HL; Ma, LL; Ma, QM; Ma, T; Ma, XN; Ma, XY; Maas, FE; Maggiora, M; Malik, QA; Mao, YJ; Mao, ZP; Marcello, S; Messchendorp, JG; Min, J; Min, TJ; Mitchell, RE; Mo, XH; Mo, YJ; Morales, CM; Moriya, K; Muchnoi, NY; Muramatsu, H; Nefedov, Y; Nerling, F; Nikolaev, IB; Ning, Z; Nisar, S; Niu, SL; Niu, XY; Olsen, SL; Ouyang, Q; Pacetti, S; Patteri, P; Pelizaeus, M; Peng, HP; Peters, K; Pettersson, J; Ping, JL; Ping, RG; Poling, R; Prasad, V; Pu, YN; Qi, M; Qian, S; Qiao, CF; Qin, LQ; Qin, N; Qin, XS; Qin, Y; Qin, ZH; Qiu, JF; Rashid, KH; Redmer, CF; Ren, HL; Ripka, M; Rong, G; Rosner, C; Ruan, XD; Santoro, V; Sarantsev, A; Savrie, M; Schoenning, K; Schumann, S; Shan, W; Shao, M; Shen, CP; Shen, PX; Shen, XY; Sheng, HY; Shepherd, MR; Song, WM; Song, XY; Sosio, S; Spataro, S; Sun, GX; Sun, JF; Sun, SS; Sun, YJ; Sun, YZ; Sun, ZJ; Sun, ZT; Tang, CJ; Tang, X; Tapan, I; Thorndike, EH; Tiemens, M; Toth, D; Ullrich, M; Uman, I; Varner, GS; Wang, B; Wang, BL; Wang, D; Wang, DY; Wang, K; Wang, LL; Wang, LS; Wang, M; Wang, P; Wang, PL; Wang, SG; Wang, W; Wang, XF; Wang, YD; Wang, YF; Wang, YQ; Wang, Z; Wang, ZG; Wang, ZH; Wang, ZY; Weber, T; Wei, DH; Wei, JB; Weidenkaff, P; Wen, SP; Wiedner, U; Wolke, M; Wu, LH; Wu, Z; Xia, LG; Xia, Y; Xiao, D; Xiao, ZJ; Xie, YG; Xiu, QL; Xu, GF; Xu, L; Xu, QJ; Xu, QN; Xu, XP; Yan, L; Yan, WB; Yan, WC; Yan, YH; Yang, HX; Yang, L; Yang, Y; Yang, YX; Ye, H; Ye, M; Ye, MH; Yin, JH; Yu, BX; Yu, CX; Yu, HW; Yu, JS; Yuan, CZ; Yuan, WL; Yuan, Y; Yuncu, A; Zafar, AA; Zallo, A; Zeng, Y; Zhang, BX; Zhang, BY; Zhang, C; Zhang, CC; Zhang, DH; Zhang, HH; Zhang, HY; Zhang, JJ; Zhang, JL; Zhang, JQ; Zhang, JW; Zhang, JY; Zhang, JZ; Zhang, K; Zhang, L; Zhang, SH; Zhang, XY; Zhang, Y; Zhang, YN; Zhang, YH; Zhang, YT; Zhang, Y; Zhang, ZH; Zhang, ZP; Zhang, ZY; Zhao, G; Zhao, JW; Zhao, JY; Zhao, JZ; Zhao, L; Zhao, L; Zhao, MG; Zhao, Q; Zhao, QW; Zhao, SJ; Zhao, TC; Zhao, YB; Zhao, ZG; Zhemchugov, A; Zheng, B; Zheng, JP; Zheng, WJ; Zheng, YH; Zhong, B; Zhou, L; Zhou, L; Zhou, X; Zhou, XK; Zhou, XR; Zhou, XY; Zhu, K; Zhu, KJ; Zhu, S; Zhu, XL; Zhu, YC; Zhu, YS; Zhu, ZA; Zhuang, J; Zotti, L; Zou, BS; Zou, JH; Szczepaniak, AP; Guo, P

收藏 | 浏览/下载：378/0 | 提交时间：2016/12/26