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741 to 750 of 1,413 Results

Machine Learning-Assisted Raman Analysis Mar 18, 2023 - Raw data and code on the SERS characterization of proteins HUANG, Jinqing; CHIU, King Wai; ZHU, Hongni; CAO, Yi, 2023, "Machine Learning-Assisted Raman Analysis", https://doi.org/10.14711/dataset/BP30DS, DataSpace@HKUST, V2 Here we demonstrated the implementation of the multi-target regression machine for Raman spectra analysis by Support vector Machine (SVR). The script was written in Python3 language and could be ran on Jupyter Notebook. The following showed the step-by-step guiding after data pre...
操作手册和源代码.docx Mar 18, 2023 - Machine Learning-Assisted Raman Analysis MS Word - 30.7 KB - MD5: 444cec07a27667cd1c725ff83d7c0c63
Intructional notes and codes.docx Mar 16, 2023 - Machine Learning-Assisted Raman Analysis MS Word - 27.6 KB - MD5: 11a471d24def0817a365921c033f6633
Online ON observation in Urban Shanghai during summer Mar 14, 2023 - Online aerosol organic nitrogen (ON) observation in urban Shanghai YU, Xu; YU, Jianzhen, 2023, "Online ON observation in Urban Shanghai during summer", https://doi.org/10.14711/dataset/FNQ7WN, DataSpace@HKUST, V1 Online observation results of aerosol organic and inorganic nitrogen, organic and elemental carbon, major ions, metals, trace gases in urban Shanghai during summer of 2021
Online ON observation in Urban Shanghai during summer.txt Mar 14, 2023 - Online ON observation in Urban Shanghai during summer Plain Text - 154.7 KB - MD5: 33e4dd53d273b0afffd7aa8776a9cc18 Observation results of parameters in aerosol and gas phases in urban Shanghai during summer of 2021
Online measurements data of organic molecular markers and other pollutants at SAES supersite during 2019-2020 wintertime episodes Dec 1, 2022 - Evolution and chemical characteristics of organic aerosols during wintertime PM2.5 episodes in Shanghai, China: Insights gained from online measurements of organic molecular markers ZHU, Shuhui; YU, Jianzhen, 2022, "Online measurements data of organic molecular markers and other pollutants at SAES supersite during 2019-2020 wintertime episodes", https://doi.org/10.14711/dataset/PXEV3I, DataSpace@HKUST, V1 This data set compiles hourly/bihourly measurements of organic molecular markers and major components in PM2.5 as well as other pollutants (e.g., volatile organic compounds, criteria pollutants) collected during 25 Nov, 2019-23 Jan, 2020 at an urban site in Shanghai, China.
Organic molecular markers@SAES.xlsx Dec 1, 2022 - Online measurements data of organic molecular markers and other pollutants at SAES supersite during 2019-2020 wintertime episodes MS Excel Spreadsheet - 1.1 MB - MD5: df35dc999449a40aa441c434c47faf71
Orthogroups for phytoplankton Nov 4, 2022 - Data for Zhang et al., Declining metal availability in the Mesozoic seawater reflected in phytoplankton succession ZHANG, Qiong, 2022, "Orthogroups for phytoplankton", https://doi.org/10.14711/dataset/LHZ4P8, DataSpace@HKUST, V1 This dataset contains orthogroups identified in different marine phytoplankton
Orthogroups_phytoplankton.csv Nov 4, 2022 - Orthogroups for phytoplankton Comma Separated Values - 31.4 MB - MD5: 0d4c80a0774fa07009452b1ab7febcf1
Replication Data for Nominative Linkage of Records of Officials in the China Government Employee Dataset-Qing (CGED-Q) Sep 9, 2022 - Lee-Campbell Research Group Campbell, Cameron Dougall, 2022, "Replication Data for Nominative Linkage of Records of Officials in the China Government Employee Dataset-Qing (CGED-Q)", https://doi.org/10.14711/dataset/M8HQEA, DataSpace@HKUST, V4 These tabulations are the basis of the tables in the paper Replication Data for Nominative Linkage of Records of Officials in the China Government Employee Dataset-Qing (CGED-Q) in by Cameron Campbell and Bijia Chen in Historical LIfe Course Studies (2022). These include tabulati...

Machine Learning-Assisted Raman Analysis

Mar 18, 2023 - Raw data and code on the SERS characterization of proteins

HUANG, Jinqing; CHIU, King Wai; ZHU, Hongni; CAO, Yi, 2023, "Machine Learning-Assisted Raman Analysis", https://doi.org/10.14711/dataset/BP30DS, DataSpace@HKUST, V2

Here we demonstrated the implementation of the multi-target regression machine for Raman spectra analysis by Support vector Machine (SVR). The script was written in Python3 language and could be ran on Jupyter Notebook. The following showed the step-by-step guiding after data pre...

操作手册和源代码.docx

Mar 18, 2023 - Machine Learning-Assisted Raman Analysis

MS Word - 30.7 KB -

Intructional notes and codes.docx

Mar 16, 2023 - Machine Learning-Assisted Raman Analysis

MS Word - 27.6 KB -

Online ON observation in Urban Shanghai during summer

Mar 14, 2023 - Online aerosol organic nitrogen (ON) observation in urban Shanghai

YU, Xu; YU, Jianzhen, 2023, "Online ON observation in Urban Shanghai during summer", https://doi.org/10.14711/dataset/FNQ7WN, DataSpace@HKUST, V1

Online observation results of aerosol organic and inorganic nitrogen, organic and elemental carbon, major ions, metals, trace gases in urban Shanghai during summer of 2021

Online ON observation in Urban Shanghai during summer.txt

Mar 14, 2023 - Online ON observation in Urban Shanghai during summer

Plain Text - 154.7 KB -

Observation results of parameters in aerosol and gas phases in urban Shanghai during summer of 2021

Online measurements data of organic molecular markers and other pollutants at SAES supersite during 2019-2020 wintertime episodes

Dec 1, 2022 - Evolution and chemical characteristics of organic aerosols during wintertime PM2.5 episodes in Shanghai, China: Insights gained from online measurements of organic molecular markers

ZHU, Shuhui; YU, Jianzhen, 2022, "Online measurements data of organic molecular markers and other pollutants at SAES supersite during 2019-2020 wintertime episodes", https://doi.org/10.14711/dataset/PXEV3I, DataSpace@HKUST, V1

This data set compiles hourly/bihourly measurements of organic molecular markers and major components in PM2.5 as well as other pollutants (e.g., volatile organic compounds, criteria pollutants) collected during 25 Nov, 2019-23 Jan, 2020 at an urban site in Shanghai, China.

Organic molecular markers@SAES.xlsx

Dec 1, 2022 - Online measurements data of organic molecular markers and other pollutants at SAES supersite during 2019-2020 wintertime episodes

MS Excel Spreadsheet - 1.1 MB -

Orthogroups for phytoplankton

Nov 4, 2022 - Data for Zhang et al., Declining metal availability in the Mesozoic seawater reflected in phytoplankton succession

ZHANG, Qiong, 2022, "Orthogroups for phytoplankton", https://doi.org/10.14711/dataset/LHZ4P8, DataSpace@HKUST, V1

This dataset contains orthogroups identified in different marine phytoplankton

Orthogroups_phytoplankton.csv

Nov 4, 2022 - Orthogroups for phytoplankton

Comma Separated Values - 31.4 MB -

Replication Data for Nominative Linkage of Records of Officials in the China Government Employee Dataset-Qing (CGED-Q)

Sep 9, 2022 - Lee-Campbell Research Group

Campbell, Cameron Dougall, 2022, "Replication Data for Nominative Linkage of Records of Officials in the China Government Employee Dataset-Qing (CGED-Q)", https://doi.org/10.14711/dataset/M8HQEA, DataSpace@HKUST, V4

These tabulations are the basis of the tables in the paper Replication Data for Nominative Linkage of Records of Officials in the China Government Employee Dataset-Qing (CGED-Q) in by Cameron Campbell and Bijia Chen in Historical LIfe Course Studies (2022). These include tabulati...

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