1 to 10 of 54 Results
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Mar 18, 2023 - Raw data and code on the SERS characterization of proteins DataverseHUANG, Jinqing; CHIU, King Wai; ZHU, Hongni; CAO, Yi, 2023, "Machine Learning-Assisted Raman Analysis", https://doi.org/10.14711/dataset/BP30DS, DataSpace@HKUST, V2Here 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...
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Mar 14, 2023 - Online aerosol organic nitrogen (ON) observation in urban Shanghai DataverseYU, Xu; YU, Jianzhen, 2023, "Online ON observation in Urban Shanghai during summer", https://doi.org/10.14711/dataset/FNQ7WN, DataSpace@HKUST, V1Online observation results of aerosol organic and inorganic nitrogen, organic and elemental carbon, major ions, metals, trace gases in urban Shanghai during summer of 2021
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Mar 14, 2023
To conduct online observations of aerosol organic nitrogen in urban Shanghai to investigate the sources and chemistry of nitrogenous organic aerosols in the urban atmosphere |
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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 DataverseZHU, 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, V1This 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.
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Dec 1, 2022
Organic molecular tracers, PM2.5 major components, selected volatile organic compounds and other pollutants monitored during nine episodes (25 Nov. 2019-23 Jan. 2020) at Shanghai Academy of Environmental Sciences (SAES) supersite, China |
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Nov 4, 2022 - Data for Zhang et al., Declining metal availability in the Mesozoic seawater reflected in phytoplankton succession DataverseZHANG, Qiong, 2022, "Orthogroups for phytoplankton", https://doi.org/10.14711/dataset/LHZ4P8, DataSpace@HKUST, V1This dataset contains orthogroups identified in different marine phytoplankton
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Nov 4, 2022
This document contains data for Zhang et al., Declining metal availability in the Mesozoic seawater reflected in phytoplankton succession |
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Sep 9, 2022 - Lee-Campbell Research Group DataverseCampbell, 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, V4These 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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Aug 5, 2022 - Dynamical downscaling product of UKESM in CMIP6 over South Korea in CORDEX-East Asia domain DataverseLiying Qiu; Eun-Soon Im; Seung-Ki Min; Yeon-Hee Kim; Dong-Hyun Cha; Seok-Woo Shin; Joong-Bae Ahn; Eun-Chul Chang; Young-Hwa Byun, 2022, "RCM Data used in Direct and Indirect Application of Univariate and Multivariate Bias Corrections on Heat-stress Indices based on Multi-RCM Simulations", https://doi.org/10.14711/dataset/GTXJVQ, DataSpace@HKUST, V1Near-surface temperature and relative humidity data over South Korea land (125.25-130.75E, 33.25-38.5N) in June-July-August, 1979-2014. The data is extracted from the CORDEX-East Asia domain climate projections. It is the downscaling product of UKESM1-0-LL (historical, r1i1p1,CMI...
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Aug 5, 2022
Analysis of dynamically downscaled climate projections to understand the effect of bias correction |
