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11 to 20 of 6,312 Results
results_400_sim_4.5_imaging.mat
Jan 13, 2026 - Replication Data for: Gouy phase-assisted Zeno effect for protecting light structure in random media
MATLAB Data - 29.2 MB - MD5: a513028f2ddd80b0a18599cd57115625
Survival power as a function of propagation distance for increasing number of 4f-unitary kicks in 400 random realizations.
F1.mat
Jan 11, 2026 - Replication Data for: Space-time superoscillations
MATLAB Data - 25.4 MB - MD5: 7e9af1642754e103f789e9654a483e81
Data for Figure 1
F4a1.mat
Jan 11, 2026 - Replication Data for: Space-time superoscillations
MATLAB Data - 59.1 MB - MD5: e663c84e0dab783942eb006237932d58
Data for Figure 4
F4a2.mat
Jan 11, 2026 - Replication Data for: Space-time superoscillations
MATLAB Data - 59.5 MB - MD5: 8e3c4a45b92f79b2e6a4483c45eb3d5a
Data for Figure 4
F4a3.mat
Jan 11, 2026 - Replication Data for: Space-time superoscillations
MATLAB Data - 200.6 MB - MD5: 18f5e021248c331e727703f784ef9e30
Data for Figure 4
F4a4.mat
Jan 11, 2026 - Replication Data for: Space-time superoscillations
MATLAB Data - 200.2 MB - MD5: b0dfdc94ec6532f4ba1bba9a9e3c4b6d
Data for Figure 4
PPTHK.ncEmbargoed
Jan 7, 2026 - Replication Data for: Investigating extreme sea levels and compound flooding in Singapore and the South China Sea
Network Common Data Form - 2.4 MB - MD5: 67d57516a3edeb13572a735147cb3dd5
Precipitation data - Hong Kong (from ERA5)
PPTKH.ncEmbargoed
Jan 7, 2026 - Replication Data for: Investigating extreme sea levels and compound flooding in Singapore and the South China Sea
Network Common Data Form - 3.6 MB - MD5: 2040e0e3e20cb2863b79fac1d9e9e435
Precipitation data - Kaohsiung (from ERA5)
PPTKK.ncEmbargoed
Jan 7, 2026 - Replication Data for: Investigating extreme sea levels and compound flooding in Singapore and the South China Sea
Network Common Data Form - 1.9 MB - MD5: 0ceec4192b7919b8cd342e3aa6202a12
Precipitation data - Kota Kinabalu (from ERA5)
PPTMN.ncEmbargoed
Jan 7, 2026 - Replication Data for: Investigating extreme sea levels and compound flooding in Singapore and the South China Sea
Network Common Data Form - 2.2 MB - MD5: 33b84ff0d1bca722393ffdf9947ed030
Precipitation data - Manila (from ERA5)
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