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HTML - 57.8 KB - MD5: 338a44bd88ac1c7bf2ea26d96038df67
Plain Text - 121.0 KB - MD5: 03a6f4eb314b80622c060aaff62f73b6
Chinese MedicineDataDrug Terms
List of traditional Chinese drug terms with two or more characters, for use in context discovery of materia medica in historical and modern sources. Contributions to this list were kindly made by Mikkael Ikkivesi, Chen Ming 陳明, who provided extensive term lists, and Catherine De...
May 25, 2018 - Michael STANLEY-BAKER
Stanley-Baker, Michael; Hudson, Clarke, 2018, "Clarke Hudson's Complete Index of Daoist Texts", https://doi.org/10.21979/N9/UV710D, DR-NTU (Data), V1
Title Index to multiple collections of Daoist texts, including the following: 莊林續道藏, 中華道藏, 中國道觀志叢刊, 正統道藏, 道教五派丹法精選, 道教文獻, 藏外道書, 三洞拾遺(206種), 廣成儀制, 道藏輯要 角集 (1), 道藏精華, 道藏精華錄, 敦煌道藏, 道書一貫, 道書十二种, 道書全集.
MS Word - 748.0 KB - MD5: fd0b8b1cf54a16b55fcfeafce6b8b14e
Apr 21, 2018 - Michael STANLEY-BAKER
Stanley-Baker, Michael, 2018, "Comprehensive Index to the Daoist Canon", https://doi.org/10.21979/N9/BWLRQJ, DR-NTU (Data), V1
The most comprehensive index of the Kanripo Daoist texts available. This includes dates, attributions, DZ 道藏 numbers, Daozang jiyao 道藏集要 parallel editions, as well as a total index of all the subsections within all the scriptures divided according to the original structure of the...
Plain Text - 3.4 MB - MD5: aa203ba3fba36a9e000514b81d836cee
Complete Index to Daoist Canon, compilation of Kanripo meta-data, KR5 series. Indicates publication edition, as well as individual headings within each juan. Gives authors, editors &c and their dates.
Mar 15, 2018 - Cognitive Neuroscience
Wong, Francis Chun Kit, 2018, "Diffusion Tensor Imaging", https://doi.org/10.21979/N9/GCOZOQ, DR-NTU (Data), V1
Diffusion Tensor Imaging
Mar 15, 2018 - Diffusion Tensor Imaging
Adobe PDF - 71.3 KB - MD5: 46608803419755de2cd1be6d0c5125e4
Mar 15, 2018 - Cognitive Neuroscience
Wong, Francis Chun Kit, 2018, "Functional MRI", https://doi.org/10.21979/N9/5J0DC9, DR-NTU (Data), V1
Functional MRI
Mar 15, 2018 - Functional MRI
Adobe PDF - 33.5 KB - MD5: e6074657eb50251f6f03fbdf4b1184e5
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