Research topics:

• Computational physics
• Complex system dynamics
• Bioinformatics

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Unknown - 80.1 KB - MD5: 35d2a49216d5191a869f07f27f129ce1
Unknown - 80.1 KB - MD5: eccb03c029c260931dbb722e7df6a653
Unknown - 80.1 KB - MD5: b84ebd7b51fa11917195b2d143a9c5db
Unknown - 80.1 KB - MD5: 57b4c83b2ad325ac4d0ce5f3df569226
Oct 1, 2020
Cheong, Siew Ann; Liu, Wenyuan; Yen, Tsung-Wen Peter, 2020, "COVID-19 Statistics in China", https://doi.org/10.21979/N9/A2XWCW, DR-NTU (Data), V1, UNF:6:Q5f5mkGTX4bTDGqjjghVDA== [fileUNF]
A data set on COVID-19 pandemic in China, which covers daily statistics of confirmed cases (new and cumulative), recoveries (new and cumulative) and deaths (new and cumulative) at city/county level. All data are extracted from Chinese government reports.
PNG Image - 1.0 MB - MD5: 229e582ead191c335832c09d0e9e4611
PNG Image - 1.0 MB - MD5: 766aa7d403ef6a50f57f52d6fde6c006
PNG Image - 1016.3 KB - MD5: 21819fca3a55acc513982f836d90bc94
Tabular Data - 77.9 KB - 45 Variables, 392 Observations - UNF:6:IJax0aC5iOa1NvZfew7tQg==
DataTime Series
Tabular Data - 65.7 KB - 45 Variables, 392 Observations - UNF:6:M/DklElUOVogkLEzRIWebA==
DataTime Series
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