cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25442/hku.28511057
title: <b>Supporting data for "Effects of </b><b>Akkermansia muciniphila </b><b>on </b><b>Porphyromonas gingivalis</b><b>-Induced Periodontal Disease: Immune Modulation and Microbiota Remodeling"</b>

description: The Dataset include the Elisa, qPCR, and WesternBlot result for the following study. The experimental section investigates the effects of Am on host immune responses and microbial interactions using both in vitro and in vivo models. In vitro studies with human gingival epithelial cells and human gingival fibroblasts demonstrate that Am can restore immune responses suppressed by Pg, enhance the expression of pro-inflammatory cytokines (IL-6, IL-8, MCP-1), and promote the recruitment of immune cells. Additionally, Am significantly reduces the adhesion and invasion of Pg, enhancing the resistance of host cells to infection. In vivo studies using a murine model of periodontitis reveal that Am administration mitigates alveolar bone resorption and reduces bacterial load in the periodontal compartment. The study shows that Am enhances the phagocytic activity of THP-1 differentiated macrophages via the MyD88 pathway, disrupting the TLR2/C5aR interaction exploited by Pg and promoting bacterial clearance.<br>
DOI: 10.25442/hku.28511057.v1
title: <b>Supporting data for "Effects of </b><b>Akkermansia muciniphila </b><b>on </b><b>Porphyromonas gingivalis</b><b>-Induced Periodontal Disease: Immune Modulation and Microbiota Remodeling"</b>

description: The Dataset include the Elisa, qPCR, and WesternBlot result for the following study. The experimental section investigates the effects of Am on host immune responses and microbial interactions using both in vitro and in vivo models. In vitro studies with human gingival epithelial cells and human gingival fibroblasts demonstrate that Am can restore immune responses suppressed by Pg, enhance the expression of pro-inflammatory cytokines (IL-6, IL-8, MCP-1), and promote the recruitment of immune cells. Additionally, Am significantly reduces the adhesion and invasion of Pg, enhancing the resistance of host cells to infection. In vivo studies using a murine model of periodontitis reveal that Am administration mitigates alveolar bone resorption and reduces bacterial load in the periodontal compartment. The study shows that Am enhances the phagocytic activity of THP-1 differentiated macrophages via the MyD88 pathway, disrupting the TLR2/C5aR interaction exploited by Pg and promoting bacterial clearance.<br>
DOI: 10.25442/hku.28512020
title: Supporting data for "Electronic Structure and Reactive Molecular Dynamics Simulations for Modelling Solid-state Batteries"

description: This dataset contains supporting data for the Ph.D. thesis "Electronic Structure and Reactive Molecular Dynamics Simulations for Modelling Solid-state Batteries".The dataset includes 135 source data files organized in a hierarchical directory structure, primarily consisting of:<b>Electronic structure data (Chapter 3)</b>:Band structure data for Li, LiPON, and LiCoO<sub>2</sub> materialsElectrostatic potential calculations for bulk and slab modelsLocal density of states (LDOS) Various visualization scripts for band structures and electronic properties<b>Reactive molecular dynamics simulations (Chapter 4)</b>:Diffusion and transport propertiesCharge distribution data for various materialsPotential energy surfacesMechanical properties (bulk modulus)Solid-electrolyte interphase (SEI) formation studiesComputational performance benchmarks
DOI: 10.5281/zenodo.15015724
title: Data on lymph node metastasis of  GI-NENs
DOI: 10.5281/zenodo.15015725
title: Data on lymph node metastasis of  GI-NENs
DOI: 10.15468/dl.vkck2w
title: Occurrence Download

description: A dataset containing 4055 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Watsonia meriana (L.) Mill.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 4055 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006256-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25442/hku.28509854
title: Supporting data for "Fostering Computational Thinking Skills in Primary School Students: The Role of Parental Involvement"

description: My research focuses on the role of parental involvement in children's CT learning and development. Study One is a systematic review in which the data is available from online databases. The collected data of Study Two are from 28 families. The collected data of Study Three are from more than 1500 students from primary school students.
DOI: 10.25442/hku.28509854.v1
title: Supporting data for "Fostering Computational Thinking Skills in Primary School Students: The Role of Parental Involvement"

description: My research focuses on the role of parental involvement in children's CT learning and development. Study One is a systematic review in which the data is available from online databases. The collected data of Study Two are from 28 families. The collected data of Study Three are from more than 1500 students from primary school students.
DOI: 10.25442/hku.28509761
title: Supporting data for “Research Misconduct in Chinese Universities: An Institutional and Emotional Analysis”

description: This thesis aims to answer the question: "Why do Chinese scholars engage in research misconduct even though they have precepted it as unethical?" The PhD candidate has gathered faculty members, administrators, and research postgraduate students from three Chinese universities in two geographical areas, Beijing and <i>the Area</i> (a place in Northeastern China).The candidate collected data mainly through in-depth semi- and non-structured online and in-person interviews. He also collected supplementary data from published national announcements, public news media, social media platforms, and friends' collections.This dataset includes two parts: interview data and supplementary materials (e.g., official announcements and published news). The interview transcripts indicate the communication between the candidate and participants (i.e., university faculty members, administrators, and research postgraduate students) during the interviews. The information also covers secrets that these interviewees only want to share with the candidate. All sensitive parts in these transcripts are modified and coded.The supplementary data are all published materials that do not have issues of privacy.The dataset is not open to the public due to consent.
DOI: 10.25442/hku.28238078
title: <i>S</i><i>upporting data for "</i><i>Safety and effectiveness of control measures for mitigating</i><i>the burden of Influenza and COVID-19</i><i>"</i>

description: My thesis explores the effectiveness and reactogenicity of vaccines, and the effectiveness of lateral flow tests and non-pharmaceutical interventions (NPIs) in mitigating the impact of influenza and SARS-CoV-2, providing key insights into public health strategies. This project consists of 5 broader research objectives under that mentioned above. Data for four of the objectives is derived from three projects that have used human participants and obtained approval for human research ethics from IRB. For the final objective data was generated through a systematic review of literature. The datasets and scripts for three of the five chapters have been published (see related materials) and also included in the submitted folder. For the remaining research chapters 5 & 6, the data used was from ongoing randomised controlled trial and cohort studies. The data is managed and stored by the project investigators using RedCap and will be deposited in an online repository towards the end of the projects as stipulated in my data management plan. As such the data included for these two chapters are currently the metadata describing the variables and the respective scripts for analysis.
DOI: 10.25442/hku.28238078.v1
title: <i>S</i><i>upporting data for "</i><i>Safety and effectiveness of control measures for mitigating</i><i>the burden of Influenza and COVID-19</i><i>"</i>

description: My thesis explores the effectiveness and reactogenicity of vaccines, and the effectiveness of lateral flow tests and non-pharmaceutical interventions (NPIs) in mitigating the impact of influenza and SARS-CoV-2, providing key insights into public health strategies. This project consists of 5 broader research objectives under that mentioned above. Data for four of the objectives is derived from three projects that have used human participants and obtained approval for human research ethics from IRB. For the final objective data was generated through a systematic review of literature. The datasets and scripts for three of the five chapters have been published (see related materials) and also included in the submitted folder. For the remaining research chapters 5 & 6, the data used was from ongoing randomised controlled trial and cohort studies. The data is managed and stored by the project investigators using RedCap and will be deposited in an online repository towards the end of the projects as stipulated in my data management plan. As such the data included for these two chapters are currently the metadata describing the variables and the respective scripts for analysis.
DOI: 10.25442/hku.28486211
title: Supporting data for "School Readiness Priorities and School Transition Practices in Mainland China: Stakeholder Perspectives"

description: The transition from kindergarten to primary school marks a significant milestone for millions of children in Mainland China each year, yet this topic remains under-researched. Stakeholder practices during this period are shaped by their perceptions of school readiness and the transition process, and these practices impact children’s experiences of transitioning to school. In the present study, informed by bioecological theory, stakeholders include children, their primary caregivers, kindergarten teachers and primary school teachers. The overarching objective of this research was to investigate the similarities and differences in priorities and perceptions among stakeholders.My dataset includes the data utilised in Chapters Five through Nine.
DOI: 10.25442/hku.28486211.v1
title: Supporting data for "School Readiness Priorities and School Transition Practices in Mainland China: Stakeholder Perspectives"

description: The transition from kindergarten to primary school marks a significant milestone for millions of children in Mainland China each year, yet this topic remains under-researched. Stakeholder practices during this period are shaped by their perceptions of school readiness and the transition process, and these practices impact children’s experiences of transitioning to school. In the present study, informed by bioecological theory, stakeholders include children, their primary caregivers, kindergarten teachers and primary school teachers. The overarching objective of this research was to investigate the similarities and differences in priorities and perceptions among stakeholders.My dataset includes the data utilised in Chapters Five through Nine.
DOI: 10.25442/hku.28468766
title: Supporting data for “<b>Development and Clinical Validation of Novel Biomarkers for Early Diagnosis of Advanced Liver Fibrosis</b>”

description: This study encompasses two principal objectives. The primary objective is to generate high-affinity monoclonal antibody pairs with optimal specificity for the establishment of a robust and reproducible immunoassay platform targeting human thrombospondin-2 (TSP2/THBS2) and CDCP1 (CUB domain-containing protein 1). The secondary objective involves validating the clinical utility of these biomarkers in discriminating advanced fibrosis stages, while concurrently integrating them with established clinical parameters to develop a multi-dimensional predictive algorithm. This translational research will be implemented across three distinct metabolic disorder cohorts: the HKWD-MASLD derivation cohort (n=846), the SPEED-Shunde validation cohort 1 (n=784), and the OCLH validation cohort 2 (n=223). The dataset includes monoclonal antibody development for immunoassay optimization, clinical validation of biomarker panels for metabolic associated steatohepatitis (MASH) diagnosis, and the creation of a hierarchical diagnostic algorithm for early detection of MASH progression.
DOI: 10.25442/hku.28468766.v1
title: Supporting data for “<b>Development and Clinical Validation of Novel Biomarkers for Early Diagnosis of Advanced Liver Fibrosis</b>”

description: This study encompasses two principal objectives. The primary objective is to generate high-affinity monoclonal antibody pairs with optimal specificity for the establishment of a robust and reproducible immunoassay platform targeting human thrombospondin-2 (TSP2/THBS2) and CDCP1 (CUB domain-containing protein 1). The secondary objective involves validating the clinical utility of these biomarkers in discriminating advanced fibrosis stages, while concurrently integrating them with established clinical parameters to develop a multi-dimensional predictive algorithm. This translational research will be implemented across three distinct metabolic disorder cohorts: the HKWD-MASLD derivation cohort (n=846), the SPEED-Shunde validation cohort 1 (n=784), and the OCLH validation cohort 2 (n=223). The dataset includes monoclonal antibody development for immunoassay optimization, clinical validation of biomarker panels for metabolic associated steatohepatitis (MASH) diagnosis, and the creation of a hierarchical diagnostic algorithm for early detection of MASH progression.
DOI: 10.25442/hku.28468859
title: Supporting data for “User-Centered Development and Validation of a Wearable Feedback System for Enhanced Fitness Training”

description: <b>Research Project Overview:</b>The research project focuses on the user-centered development and validation of a wearable feedback system designed to enhance fitness training. The system leverages Inertial Measurement Units (IMUs) to provide real-time feedback to users, guiding them to perform resistance training exercises (specifically squats and deadlifts exercises) at a constant speed and within a prescribed range of motion. The study aims to evaluate the effectiveness of this wearable feedback system by analyzing its impact on movement quality, muscle activation, and user motivation.<b>2. Sample Size and Target Participants:</b>Total Participants: 51 (28 males, 23 females).Age Range: 19–67 years (median age: 25 years).Target Participants: Individuals with varying levels of fitness experience, ranging from beginners to advanced trainees, to ensure the system's applicability across a broad user base.<b>3. Description of Data Files:</b>The dataset consists of the following types of data files, collected during supervised exercise sessions(1) IMU Data Files:Content: Time-series data from IMU sensors, including acceleration, angular velocity, and orientation of leg and trunk posision during squats and deadlfits exercises.Purpose: To analyze movement kinematics, including speed, range of motion, and stability.File Format: CSV, with columns for timestamp, sensor ID, and sensor measurements.(2) EMG Data Files:Content: Electromyography signals from lower back and limb muscles (e.g., quadriceps, glutes) recorded during exercises.Purpose: To assess muscle activation patterns and compare amplitude changes with and without the wearable feedback system.File Format: CSV or similar, with columns for timestamp, muscle group, and EMG signal amplitude.<br>(3) Voice Data Files:Content: Audio recordings of participants' verbal feedback, interactions with researchers, and comments after exercises.Purpose: To gather qualitative insights into user experience and perceived usability of the system.File Format: Audio files (e.g., WAV or MP3).<br>
DOI: 10.15468/dl.jrrv5d
title: Occurrence Download

description: A dataset containing 6065 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lumbricus rubellus Hoffmeister, 1843)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6065 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006257-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.banhb4
title: Occurrence Download

description: A dataset containing 3426 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Wisteria floribunda (Willd.) DC.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 3426 records from 158 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006258-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.csrdjt
title: Occurrence Download

description: A dataset containing 14675 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Bouteloua gracilis (Kunth) Lag. ex Griffiths"
 ]
}

 The dataset includes 14675 records from 298 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006259-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d9zds9
title: Occurrence Download

description: A dataset containing 2325 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Eisenia fetida (Savigny, 1826))",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2325 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006260-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vqgwku
title: Occurrence Download

description: A dataset containing 593 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cupressus lusitanica Mill.",
 "Year 2020-2025"
 ]
}

 The dataset includes 593 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006261-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v8c3qb
title: Occurrence Download

description: A dataset containing 59 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Wisteria ×formosa Rehder)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 59 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006262-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m52c7w
title: Occurrence Download

description: A dataset containing 3029 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dendrobaena octaedra (Savigny, 1826))",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3029 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006263-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tr6bbc
title: Occurrence Download

description: A dataset containing 4263 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Wisteria sinensis (Sims) DC.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 4263 records from 231 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006264-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5quuhw
title: Occurrence Download

description: A dataset containing 136 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Paranais frici Hrabĕ, 1941)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 136 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006265-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u6jby6
title: Occurrence Download

description: A dataset containing 12940 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Epinephelus striatus (Bloch, 1792)",
 "Geometry POLYGON ((-68.25657 18.04597, -68.26322999999999 17.99421, -68.49652 15.21518, -66.86111 14.935, -66.575 14.93, -65.98139999999999 15.65491, -65.01537999999999 18.00814, -65.34726000000001 19.62149, -65.84126999999999 21.8054, -67.23154 19.87439, -67.33244999999999 19.72365, -67.42243999999999 19.57611, -68.18442 18.28659, -68.20622 18.2419, -68.22354 18.19513, -68.23639 18.14627, -68.25657 18.04597))"
 ]
}

 The dataset includes 12940 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006266-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bgjtau
title: Occurrence Download

description: A dataset containing 12940 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Epinephelus striatus (Bloch, 1792)",
 "Geometry POLYGON ((-68.25657 18.04597, -68.26322999999999 17.99421, -68.49652 15.21518, -66.86111 14.935, -66.575 14.93, -65.98139999999999 15.65491, -65.01537999999999 18.00814, -65.34726000000001 19.62149, -65.84126999999999 21.8054, -67.23154 19.87439, -67.33244999999999 19.72365, -67.42243999999999 19.57611, -68.18442 18.28659, -68.20622 18.2419, -68.22354 18.19513, -68.23639 18.14627, -68.25657 18.04597))"
 ]
}

 The dataset includes 12940 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006267-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.