cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.12683868
title: Processed Wikipedia Dataset

description: We extract a subset of about 1,000,000 documents of Wikipedia 2020 and extract the keywords of them. The wiki_kws_dict.pkl is a map which maps each keyword to its total counts in files and query trend. The wiki_doc_0.pkl contains lists of keywords of each document. These two datasets can be loaded by the pickle package with python.
DOI: 10.5281/zenodo.12683869
title: Processed Wikipedia Dataset

description: We extract a subset of about 1,000,000 documents of Wikipedia 2020 and extract the keywords of them. The wiki_kws_dict.pkl is a map which maps each keyword to its total counts in files and query trend. The wiki_doc_0.pkl contains lists of keywords of each document. These two datasets can be loaded by the pickle package with python.
DOI: 10.5281/zenodo.12697316
title: Datatset for paper entitled "Gastronomy of Religious Tourism: Overview and Future Research Agenda"
DOI: 10.5281/zenodo.12697317
title: Datatset for paper entitled "Gastronomy of Religious Tourism: Overview and Future Research Agenda"
DOI: 10.5281/zenodo.11102237
title: High-resolution seismic record of the Quaternary palaeoenvironments along a Dalmatian-type coast (Lošinj Channel, Adriatic Sea)

description: Raw seismic files used in the manuscript High-resolution seismic record of the Quaternary palaeoenvironments along a Dalmatian-type coast (Lošinj Channel, Adriatic Sea) published in journal Marine Geology.
DOI: 10.5281/zenodo.11102238
title: High-resolution seismic record of the Quaternary palaeoenvironments along a Dalmatian-type coast (Lošinj Channel, Adriatic Sea)

description: Raw seismic files used in the manuscript High-resolution seismic record of the Quaternary palaeoenvironments along a Dalmatian-type coast (Lošinj Channel, Adriatic Sea) published in journal Marine Geology.
DOI: 10.5281/zenodo.12697332
title: High-resolution seismic record of the Quaternary palaeoenvironments along a Dalmatian-type coast (Lošinj Channel, Adriatic Sea)

description: Raw seismic files used in the manuscript High-resolution seismic record of the Quaternary palaeoenvironments along a Dalmatian-type coast (Lošinj Channel, Adriatic Sea) published in journal Marine Geology.
DOI: 10.6084/m9.figshare.26212544
title: Deformation microstructures and seismic properties of UHP eclogites: response to strain localization, <i>P–T</i> path and fluid/melt interaction within a paleo-subduction channel

description: These are the original ebsd data for the paper entitled with “Deformation microstructures and seismic properties of UHP eclogites: response to strain localization,<i> </i><i>P–T</i> path and fluid/melt interaction within a paleo-subduction channel”. The CPO results, grain data are all extracted from the original ebsd mapping data.
DOI: 10.25442/hku.26068132
title: Supporting data for Barriers and Facilitators for Older Adults in Mainland China to Purchase Hearing Aids

description: There are three studies in the thesis. Chapter 3 Study One explored barriers to hearing aid adoption among twelve older adults who had consulted ENTs but had not adopted hearing aids. The original interview audio and transcripts can be downloaded from the dataset file.Chapter 4 Study Two focused on facilitators for hearing aid purchase by interviewing nine older adults who purchased hearing aids from hospitals (H) and ten older adults who purchased hearing aids from hearing aid shops (S). The original audio and interview transcripts can be downloaded from the dataset file.Chapter 5 Study Three is a nationwide online survey to explore the importance of various factors influencing older adults’ hearing aid purchases from the perspective of dispensers. The original data can be downloaded from the dataset file.
DOI: 10.25442/hku.26068132.v1
title: Supporting data for Barriers and Facilitators for Older Adults in Mainland China to Purchase Hearing Aids

description: There are three studies in the thesis. Chapter 3 Study One explored barriers to hearing aid adoption among twelve older adults who had consulted ENTs but had not adopted hearing aids. The original interview audio and transcripts can be downloaded from the dataset file.Chapter 4 Study Two focused on facilitators for hearing aid purchase by interviewing nine older adults who purchased hearing aids from hospitals (H) and ten older adults who purchased hearing aids from hearing aid shops (S). The original audio and interview transcripts can be downloaded from the dataset file.Chapter 5 Study Three is a nationwide online survey to explore the importance of various factors influencing older adults’ hearing aid purchases from the perspective of dispensers. The original data can be downloaded from the dataset file.
DOI: 10.6084/m9.figshare.25436911
title: <b>Multimodal Eye Imaging, Retina Characteristics, and Psychological Assessment Dataset</b>

description: The eyes offer insights into to psychology, potentially providing a unique perspective for psychological health profiles. However, there existed a shortage of datasets that simultaneously encompass eye features and psychological assessments. To address this gap, our study presented a dataset that included Fundus Photography, Psychological Assessment, Retina Characteristics, and Multimodal Imaging (FPRM). FPRM dataset comprised fundus images at different wavelengths (548 nm and 605 nm), image of oxygen saturation for the retina and 8 specific retinal vessels, videos of retinal blood flow and pupillary light reflex, along with 61 items of multimodal quantitative measurement from 384 participants. Additionally, it featured psychological assessments across five dimensions (geriatric depression, generalized anxiety disorder, insomnia, activities of daily living, and deterioration), accompanied by fundus photographs and 6 items of retina characteristics from 1683 participants. FPRM dataset is the first to integrate multimodal ophthalmic data and psychological assessments, not only advancing the development of machine learning applications but also facilitating in-depth research into the relationship between eye health and psychological health profiles.
DOI: 10.6084/m9.figshare.25436911.v1
title: <b>Multimodal Eye Imaging, Retina Characteristics, and Psychological Assessment Dataset</b>

description: The eyes offer insights into to psychology, potentially providing a unique perspective for psychological health profiles. However, there existed a shortage of datasets that simultaneously encompass eye features and psychological assessments. To address this gap, our study presented a dataset that included Fundus Photography, Psychological Assessment, Retina Characteristics, and Multimodal Imaging (FPRM). FPRM dataset comprised fundus images at different wavelengths (548 nm and 605 nm), image of oxygen saturation for the retina and 8 specific retinal vessels, videos of retinal blood flow and pupillary light reflex, along with 61 items of multimodal quantitative measurement from 384 participants. Additionally, it featured psychological assessments across five dimensions (geriatric depression, generalized anxiety disorder, insomnia, activities of daily living, and deterioration), accompanied by fundus photographs and 6 items of retina characteristics from 1683 participants. FPRM dataset is the first to integrate multimodal ophthalmic data and psychological assessments, not only advancing the development of machine learning applications but also facilitating in-depth research into the relationship between eye health and psychological health profiles.
DOI: 10.6084/m9.figshare.25436911.v2
title: <b>Multimodal Eye Imaging, Retina Characteristics, and Psychological Assessment Dataset</b>

description: The eyes offer insights into to psychology, potentially providing a unique perspective for psychological health profiles. However, there existed a shortage of datasets that simultaneously encompass eye features and psychological assessments. To address this gap, our study presented a dataset that included Fundus Photography, Psychological Assessment, Retina Characteristics, and Multimodal Imaging (FPRM). FPRM dataset comprised fundus images at different wavelengths (548 nm and 605 nm), image of oxygen saturation for the retina and 8 specific retinal vessels, videos of retinal blood flow and pupillary light reflex, along with 61 items of multimodal quantitative measurement from 384 participants. Additionally, it featured psychological assessments across five dimensions (geriatric depression, generalized anxiety disorder, insomnia, activities of daily living, and deterioration), accompanied by fundus photographs and 6 items of retina characteristics from 1683 participants. FPRM dataset is the first to integrate multimodal ophthalmic data and psychological assessments, not only advancing the development of machine learning applications but also facilitating in-depth research into the relationship between eye health and psychological health profiles.
DOI: 10.6084/m9.figshare.26212661.v3
title: Source Data for Cloarec et al. (2024)

description: Source Data for Cloarec et al. (2024)
DOI: 10.25442/hku.26067598
title: <b>Supporting data for </b>"Generation of Live Attenuated Vaccines against SARS-CoV-2"

description: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged during late 2019 to take the whole world by surprise, prompting the declaration of pandemic, COVID-19. As mentioned in the name, it is known to cause respiratory diseases and has infected majority of the human population worldwide. Early therapeutic options of SARS-CoV-2 focused on the remedial purposes to alleviate severe disease, and later, prophylactic vaccines against SARS-CoV-2 were developed. There are several vaccine categories, the well-known SARS-CoV-2 vaccines include nucleic acid, viral vectored and inactivated vaccines. Since then, SARS-CoV-2 has taken a new turn to evolve into Omicron variant to evade vaccine-induced immune responses, rendering existing vaccines ineffective in preventing illness. Live attenuated vaccines were previously proven to eradicate or nearly eradicate pathogenic diseases, including smallpox and polio, respectively. Its capability to induce mucosal and sterilising immunity prevents viral pathogenesis and shedding, contributing to herd immunity.Coronaviruses contain conserved motifs that spans throughout the family, which are commonly used for vaccine development. First, we targeted the 2’-O-methyltranferase protein by catalytically inactivation through a single point mutation, designated as d16. Then, we displayed its safety profile and immunogenicity. Thereon after, we shown that a single dose of d16 could effectively protect the host against SARS-CoV-2 ancestral strain challenge through <i>in vivo</i> models, Syrian hamster and K18-hACE2 transgenic mice. However, we noticed minor inflammatory response among vaccinated hamster lung tissues and single point mutation faces risk of reversion mutation. Our previous studies showed that SARS-CoV ORF3a is involved in NLRP3 inflammasome activation by promoting TRAF-3 dependent ubiquitination of p105 and apoptosis-associated speck-like protein containing a caspase recruitment domain (ASC). We sought to downregulate ORF3a-associated inflammation by inversion abrogation of ORF3a genome in the bacterial artificial chromosome (BAC), designated d16i3a. We have shown the impeded pathogenicity while maintaining excellent vaccine efficacy of d16i3a against various SARS-CoV-2 variants. Additionally, d16i3a vaccination resulted in robust T cell activation and could potentially serve as a booster vaccine to complement existing vaccination regimens. Omicron variants continuously adapt and mutate to avert host immune responses, we strived to construct an Omicron-specific d16i3a live attenuated vaccine. Hence, the ancestral spike of d16i3a is replaced with spike sequence of Omicron XBB.1.16, designated d16i3a-XBB.1.16. We have shown that d16i3a-XBB.1.16 could retrospectively protect against BA.5 variant as well as prospective SARS-CoV-2 variant, JN.1 in animal models. This study highlights the development of a potential SARS-CoV-2 live attenuated vaccine to put an end to the endemic.
DOI: 10.25442/hku.26067598.v1
title: <b>Supporting data for </b>"Generation of Live Attenuated Vaccines against SARS-CoV-2"

description: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged during late 2019 to take the whole world by surprise, prompting the declaration of pandemic, COVID-19. As mentioned in the name, it is known to cause respiratory diseases and has infected majority of the human population worldwide. Early therapeutic options of SARS-CoV-2 focused on the remedial purposes to alleviate severe disease, and later, prophylactic vaccines against SARS-CoV-2 were developed. There are several vaccine categories, the well-known SARS-CoV-2 vaccines include nucleic acid, viral vectored and inactivated vaccines. Since then, SARS-CoV-2 has taken a new turn to evolve into Omicron variant to evade vaccine-induced immune responses, rendering existing vaccines ineffective in preventing illness. Live attenuated vaccines were previously proven to eradicate or nearly eradicate pathogenic diseases, including smallpox and polio, respectively. Its capability to induce mucosal and sterilising immunity prevents viral pathogenesis and shedding, contributing to herd immunity.Coronaviruses contain conserved motifs that spans throughout the family, which are commonly used for vaccine development. First, we targeted the 2’-O-methyltranferase protein by catalytically inactivation through a single point mutation, designated as d16. Then, we displayed its safety profile and immunogenicity. Thereon after, we shown that a single dose of d16 could effectively protect the host against SARS-CoV-2 ancestral strain challenge through <i>in vivo</i> models, Syrian hamster and K18-hACE2 transgenic mice. However, we noticed minor inflammatory response among vaccinated hamster lung tissues and single point mutation faces risk of reversion mutation. Our previous studies showed that SARS-CoV ORF3a is involved in NLRP3 inflammasome activation by promoting TRAF-3 dependent ubiquitination of p105 and apoptosis-associated speck-like protein containing a caspase recruitment domain (ASC). We sought to downregulate ORF3a-associated inflammation by inversion abrogation of ORF3a genome in the bacterial artificial chromosome (BAC), designated d16i3a. We have shown the impeded pathogenicity while maintaining excellent vaccine efficacy of d16i3a against various SARS-CoV-2 variants. Additionally, d16i3a vaccination resulted in robust T cell activation and could potentially serve as a booster vaccine to complement existing vaccination regimens. Omicron variants continuously adapt and mutate to avert host immune responses, we strived to construct an Omicron-specific d16i3a live attenuated vaccine. Hence, the ancestral spike of d16i3a is replaced with spike sequence of Omicron XBB.1.16, designated d16i3a-XBB.1.16. We have shown that d16i3a-XBB.1.16 could retrospectively protect against BA.5 variant as well as prospective SARS-CoV-2 variant, JN.1 in animal models. This study highlights the development of a potential SARS-CoV-2 live attenuated vaccine to put an end to the endemic.
DOI: 10.5281/zenodo.12697419
title: GPS_tws
DOI: 10.25442/hku.26067385
title: <i>Supporting data for</i> "Towards Efficient LiDAR mapping for Robotics"

description: Robots, such as unmanned aerial vehicles and robot dogs, are suitable for exploring unknown environments that are dangerous for a human to walk in. These robots are equipped with sensors to obtain information from the environment. A map of the environment is simultaneously constructed on the robot while an online exploration algorithm determines the next area to explore based on the map. In most recent research on robotics, LiDARs have gained increasing interest thanks to their ability to provide dense and accurate depth measurements of environments. This dataset includes LiDAR data collected in both indoor and outdoor environments of HKU, which aims to benefit the robotic community and facilitate future research to advance the LiDAR mapping technology.
DOI: 10.25442/hku.26067385.v1
title: <i>Supporting data for</i> "Towards Efficient LiDAR mapping for Robotics"

description: Robots, such as unmanned aerial vehicles and robot dogs, are suitable for exploring unknown environments that are dangerous for a human to walk in. These robots are equipped with sensors to obtain information from the environment. A map of the environment is simultaneously constructed on the robot while an online exploration algorithm determines the next area to explore based on the map. In most recent research on robotics, LiDARs have gained increasing interest thanks to their ability to provide dense and accurate depth measurements of environments. This dataset includes LiDAR data collected in both indoor and outdoor environments of HKU, which aims to benefit the robotic community and facilitate future research to advance the LiDAR mapping technology.
DOI: 10.17632/58jyywh8sc.1
title: Supplementary material

description: Note 1
Fig. S1
Table S1 to Table S3
DOI: 10.5281/zenodo.10974194
title: Model integration of circadian and sleep-wake driven contributions to rhythmic gene expression reveals distinct regulatory principles
DOI: 10.5281/zenodo.10974195
title: Model integration of circadian and sleep-wake driven contributions to rhythmic gene expression reveals distinct regulatory principles
DOI: 10.17632/r4ynbj374v.1
title: Research Dataset of Digital Marketing in Indonesia

description: Research Dataset of Digital Marketing in Indonesia. The dataset contains demographics of responden, report of PLS Bootstrapping and PLS Algorithm in excel and image.
DOI: 10.17632/55sdsxm9yz.1
title: Educational eHealth Interventions on Health Outcomes in Continuity of Care for Enterostomy Patients

description: This study adopted a meta-analysis design. Raw data from 13 RCTs were extracted. These studies, conducted globally from 2015 to 2023, involved a total of 1,530 participants and employed various eHealth platforms, from mobile apps to telehealth systems. The effectiveness of educational eHealth interventions on self-care ability, quality of life (QoL), ostomy complications, adjustment to stoma, self-efficacy, and psychological well-being (depression and anxiety) in enterostomy patients were evaluated. 
This dataset included two files:
a) outcome measures extracted from the included studies
b) supplementary data which includes 'search strategy for MEDLINE (OVID)', 'data for calculation of a simple Kappa statistic', and 'risk of bias evaluations for individual studies'
DOI: 10.17632/55sdsxm9yz.2
title: Educational eHealth and mHealth Interventions on Health Outcomes in Continuity of Care for Enterostomy Patients

description: This study adopted a meta-analysis design. Raw data from 13 RCTs were extracted. These studies, conducted globally from 2015 to 2023, involved a total of 1,530 participants and employed various eHealth platforms, from mobile apps to telehealth systems. The effectiveness of educational eHealth interventions on self-care ability, quality of life (QoL), ostomy complications, adjustment to stoma, self-efficacy, and psychological well-being (depression and anxiety) in enterostomy patients were evaluated. 
This dataset included two files:
a) outcome measures extracted from the included studies
b) supplementary data which includes 'search strategy for MEDLINE (OVID)', 'data for calculation of a simple Kappa statistic', and 'risk of bias evaluations for individual studies'
DOI: 10.25442/hku.26064988
title: Supporting data for "Preventing illegal dumping of construction waste in Hong Kong: A situational crime prevention approach"

description: This research adopts a mixed-method approach, including: (1) Exploratory interviews, the codes and themes of which facilitated the researcher's understanding of the context surrounding the occurrence of illegal dumping; (2) Questionnaire survey to (a) test the hypothesized relationships in the conceptual model, and (b) explore certain phenomenon concerning the industrial context uncovered from the exploratory interviews; and (3) Supplementary interviews with some questionnaire respondents to explain findings from the questionnaire survey.
DOI: 10.25442/hku.26064988.v1
title: Supporting data for "Preventing illegal dumping of construction waste in Hong Kong: A situational crime prevention approach"

description: This research adopts a mixed-method approach, including: (1) Exploratory interviews, the codes and themes of which facilitated the researcher's understanding of the context surrounding the occurrence of illegal dumping; (2) Questionnaire survey to (a) test the hypothesized relationships in the conceptual model, and (b) explore certain phenomenon concerning the industrial context uncovered from the exploratory interviews; and (3) Supplementary interviews with some questionnaire respondents to explain findings from the questionnaire survey.
DOI: 10.5281/zenodo.12592984
title: s4_EF
DOI: 10.5281/zenodo.12592985
title: s4_EF
DOI: 10.15468/vr33g2
title: 2022 SafetyNet Technologies Irish Sea Golden Ray Nephrops light trial

description: Experimental deployment of LED lights on trawl headline to examine finfish bycatch rates in twin-rig Nephrops fishery
DOI: 10.25442/hku.26061643
title: Supporting data for “Monitoring and understanding fine-scale phenological variability in temperate forests”

description: For my PhD thesis, I have utilized a range of data from various sources.1). I utilized time-series PlanetScope data with a 3 m spatial resolution from the Planet Labs Inc. to generate phenological maps for six temperate forest sites within the National Ecological Observatory Network (NEON). The derived phenological maps can be used to monitor plant phenology at fine scales.2). I used ground records of plant phenology for six temperate forest sites to validate PlanetScope-derived phenological metrics. These data are publicly available in the data repository of NEON. Detailed phenophase status and intensity are recorded for a number of individual trees, which can be used to derive the timing of key phenological events.3). Maps of seven foliar traits and five structural traits for four NEON temperate forest sites were also used. Foliar traits include leaf mass per area (LMA), carbon content, nitrogen content, area-based chlorophyll concentration, phenolics concentration, starch concentration, and ẟ<sup>13</sup>C. Structural traits include canopy height, plant area index (PAI), height skew, entropy, and rugosity. These traits are derived from remote sensing data, provide detailed characterizations of plant attributes.4). I utilized time-series satellite imagery from harmonized Landsat and Sentinel-2 data to generate maps of interannual phenological variability for four NEON temperate forests sites. The derived maps offer a visualization of the patterns of interannual phenological variability at the site level. By integrating these maps with functional trait data, further investigations can be conducted to explore the underlying biotic drivers of the variability.Overall, the combination of these data provided a comprehensive dataset for my thesis, allowing for a thorough investigation of the patterns of phenological variability and its underlying drivers. <br>