DataSpace@HKUST

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11 to 20 of 1,456 Results

7-官员个人编号的创建与运用(v2.1.1).pdf Jul 16, 2025 - China Government Employee Database-Qing (CGED-Q) Jinshenlu Public Release Adobe PDF - 1015.2 KB - MD5: 8bd191478ec61ad6c2efe38a00b66e28 PDF of Powerpoint slides explaining how to use R to analyze CGED-Q JSL
8-制作GIS图像(v2.1.1).pdf Jul 16, 2025 - China Government Employee Database-Qing (CGED-Q) Jinshenlu Public Release Adobe PDF - 1.9 MB - MD5: 9e8232bf896924d6fe1b50ba0c80a8b2 PDF of Powerpoint slides explaining how to use R to analyze CGED-Q JSL
R语言在CGED-Q中的运用V2.0 June 2025.Rmd Jul 16, 2025 - China Government Employee Database-Qing (CGED-Q) Jinshenlu Public Release R Notebook - 172.2 KB - MD5: d86663a1989daf2fb424119837df7f79 R markdown file with tutorials for using R to analyze the CGED-Q. By Chen Jun.
R语言在CGED-Q中的运用V2.0-June-2025.pdf Jul 10, 2025 - China Government Employee Database-Qing (CGED-Q) Jinshenlu Public Release Adobe PDF - 14.6 MB - MD5: d91a024523a640eba136772838ca1eab PDF of output from R Markdown file tutorial for using R to analyze the CGED-Q. By Chen Jun.
Tales from a 1493 World Map: Playing with AR Jul 10, 2025 - HKUST Library Digital Scholarship CoLab Projects HKUST Library - Digital Scholarship, 2025, "Tales from a 1493 World Map: Playing with AR", https://doi.org/10.14711/dataset/CHHXX8, DataSpace@HKUST, V1 Our Library’s Special Collections contains remarkable collections of antique maps. These maps are not just historical artifacts – they are stories waiting to be told. In a digital age where technology shapes our interactions with information, we have an opportunity to enhance the...
P004-PUBLIC_Play-with-AR-on-Antique-map-main.zip Jul 10, 2025 - Tales from a 1493 World Map: Playing with AR ZIP Archive - 228.3 MB - MD5: dac0b4ee592831a319592a0cc0e4a7f2
（FINAL）中国历史官员量化数据库公开版用户指南 v4 2025 July.pdf Jul 7, 2025 - China Government Employee Database-Qing (CGED-Q) Jinshenlu Public Release Adobe PDF - 2.6 MB - MD5: 78e3877b9e2eab8442766c8a2679d9c8 User Guide updated to reflect 2024 release of 1760-1798 data, as well as new information about the source.
Chinese Named-Entity Recognition (NER) Tool May 27, 2025 - HKUST Library Digital Scholarship CoLab Projects HKUST Library - Digital Scholarship, 2025, "Chinese Named-Entity Recognition (NER) Tool", https://doi.org/10.14711/dataset/B6IUMG, DataSpace@HKUST, V1 Named-Entity Recognition (NER) is a natural language processing technique that can automatically identify and categorize key elements such as people, organizations, locations, dates, and other important concepts within a large amount of text. This technique enables researchers to...
P001-PUBLIC_Chinese-NER-Tool-main.zip May 27, 2025 - Chinese Named-Entity Recognition (NER) Tool ZIP Archive - 2.1 MB - MD5: 08d9b59ec5ab42c6a7e1922018fdfe0d
Object Detection, Image Tagging, Facial Recognition May 27, 2025 - HKUST Library Digital Scholarship CoLab Projects HKUST Library - Digital Scholarship, 2025, "Object Detection, Image Tagging, Facial Recognition", https://doi.org/10.14711/dataset/M7JKCW, DataSpace@HKUST, V1 The Library has a site “HKUST Digital Images“, which serves as a valuable archive of the university’s history, comprising over 30,000 photos of the University’s early events from 1988 to the early 2000s with diverse scenes, including campus construction, teaching and learning act...

7-官员个人编号的创建与运用(v2.1.1).pdf

Jul 16, 2025 - China Government Employee Database-Qing (CGED-Q) Jinshenlu Public Release

Adobe PDF - 1015.2 KB -

PDF of Powerpoint slides explaining how to use R to analyze CGED-Q JSL

8-制作GIS图像(v2.1.1).pdf

Jul 16, 2025 - China Government Employee Database-Qing (CGED-Q) Jinshenlu Public Release

Adobe PDF - 1.9 MB -

PDF of Powerpoint slides explaining how to use R to analyze CGED-Q JSL

R语言在CGED-Q中的运用V2.0 June 2025.Rmd

Jul 16, 2025 - China Government Employee Database-Qing (CGED-Q) Jinshenlu Public Release

R Notebook - 172.2 KB -

R markdown file with tutorials for using R to analyze the CGED-Q. By Chen Jun.

R语言在CGED-Q中的运用V2.0-June-2025.pdf

Jul 10, 2025 - China Government Employee Database-Qing (CGED-Q) Jinshenlu Public Release

Adobe PDF - 14.6 MB -

PDF of output from R Markdown file tutorial for using R to analyze the CGED-Q. By Chen Jun.

Tales from a 1493 World Map: Playing with AR

Jul 10, 2025 - HKUST Library Digital Scholarship CoLab Projects

HKUST Library - Digital Scholarship, 2025, "Tales from a 1493 World Map: Playing with AR", https://doi.org/10.14711/dataset/CHHXX8, DataSpace@HKUST, V1

Our Library’s Special Collections contains remarkable collections of antique maps. These maps are not just historical artifacts – they are stories waiting to be told. In a digital age where technology shapes our interactions with information, we have an opportunity to enhance the...

P004-PUBLIC_Play-with-AR-on-Antique-map-main.zip

Jul 10, 2025 - Tales from a 1493 World Map: Playing with AR

ZIP Archive - 228.3 MB -

（FINAL）中国历史官员量化数据库公开版用户指南 v4 2025 July.pdf

Jul 7, 2025 - China Government Employee Database-Qing (CGED-Q) Jinshenlu Public Release

Adobe PDF - 2.6 MB -

User Guide updated to reflect 2024 release of 1760-1798 data, as well as new information about the source.

Chinese Named-Entity Recognition (NER) Tool

May 27, 2025 - HKUST Library Digital Scholarship CoLab Projects

HKUST Library - Digital Scholarship, 2025, "Chinese Named-Entity Recognition (NER) Tool", https://doi.org/10.14711/dataset/B6IUMG, DataSpace@HKUST, V1

Named-Entity Recognition (NER) is a natural language processing technique that can automatically identify and categorize key elements such as people, organizations, locations, dates, and other important concepts within a large amount of text. This technique enables researchers to...

P001-PUBLIC_Chinese-NER-Tool-main.zip

May 27, 2025 - Chinese Named-Entity Recognition (NER) Tool

ZIP Archive - 2.1 MB -

Object Detection, Image Tagging, Facial Recognition

May 27, 2025 - HKUST Library Digital Scholarship CoLab Projects

HKUST Library - Digital Scholarship, 2025, "Object Detection, Image Tagging, Facial Recognition", https://doi.org/10.14711/dataset/M7JKCW, DataSpace@HKUST, V1

The Library has a site “HKUST Digital Images“, which serves as a valuable archive of the university’s history, comprising over 30,000 photos of the University’s early events from 1988 to the early 2000s with diverse scenes, including campus construction, teaching and learning act...

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