cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25442/hku.27900669
title: Supporting data for "Comparing the mechanical and optical properties of different 3D Printed resin-based ceramic materials for permanent restorations<b></b><b></b><b></b><b></b><b></b><b></b><b></b><b></b><b></b><b></b><b></b>

description: The objective of this study is to elucidate the mechanical strengths (3 point bending test; biaxial flexural test and compressive test) of five different market brands (Bego, Detax, NextDent, SprintRay Ceramic, SprintRay OnX) and to examine the effects of thermocycling on hardness and translucency tests. Three different thicknesses (1.0 mm, 1.5 mm, and 2.0 mm) were utilized in the experiments to examine the relationship between thickness and both mechanical properties (hardness) and optical properties (translucency).Five distinct brands—BEGO, DETAX, NEXTDENT, SPRINTRAY CERAMICS, and SPRINTRAY OnX—were selected for comparison through biaxial flexural tests, three-point bending tests, and compressive tests. Each test included 15 samples to assess the mechanical performance of each brand.Baseline measurements (T0) for hardness and translucency were collected. Specimens then underwent thermocycling at intervals of 1000 (T1), 3000 (T3), and 6000 (T6) cycles to simulate the oral environment in situ and to evaluate the effects of thermocycling on mechanical and optical properties.<br><br>The data files contain the supporting data of the tests mentioned previously: 3 point bending test, biaxial flexural test, compressive test, hardness test and translucency test.
DOI: 10.25442/hku.27900669.v1
title: Supporting data for "Comparing the mechanical and optical properties of different 3D Printed resin-based ceramic materials for permanent restorations<b></b><b></b><b></b><b></b><b></b><b></b><b></b><b></b><b></b><b></b><b></b>

description: The objective of this study is to elucidate the mechanical strengths (3 point bending test; biaxial flexural test and compressive test) of five different market brands (Bego, Detax, NextDent, SprintRay Ceramic, SprintRay OnX) and to examine the effects of thermocycling on hardness and translucency tests. Three different thicknesses (1.0 mm, 1.5 mm, and 2.0 mm) were utilized in the experiments to examine the relationship between thickness and both mechanical properties (hardness) and optical properties (translucency).Five distinct brands—BEGO, DETAX, NEXTDENT, SPRINTRAY CERAMICS, and SPRINTRAY OnX—were selected for comparison through biaxial flexural tests, three-point bending tests, and compressive tests. Each test included 15 samples to assess the mechanical performance of each brand.Baseline measurements (T0) for hardness and translucency were collected. Specimens then underwent thermocycling at intervals of 1000 (T1), 3000 (T3), and 6000 (T6) cycles to simulate the oral environment in situ and to evaluate the effects of thermocycling on mechanical and optical properties.<br><br>The data files contain the supporting data of the tests mentioned previously: 3 point bending test, biaxial flexural test, compressive test, hardness test and translucency test.
DOI: 10.15468/dl.86fvtv
title: Occurrence Download

description: A dataset containing 7030 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Triconia conifera (Giesbrecht, 1891)"
 ]
}

 The dataset includes 7030 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021487-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bm4hxf
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Panulirus japonicus (Von Siebold, 1824)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 77 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021486-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25442/hku.27824763
title: <b><i>Supporting data for </i></b>"Effectiveness of Social Media-Based Sexuality Education Using a Feminist Approach among Young Adults in China"

description: The dataset complements a study that examines the effectiveness of social media-based sex education interventions using feminist methods in China. It includes qualitative transcripts of interviews with 10 sex educators and 18 young people, as well as an interview guide outlining the topics of the study. In addition, quantitative data from a randomized controlled trial were provided, which included responses from 422 participants aged 18-29 years collected through a questionnaire. This dataset supports the use of feminist approaches to explore perceptions of social media-based sex education and to assess the impact of interventions on Chinese adolescents' attitudes towards sexual violence and gender norms.
DOI: 10.15468/dl.93f44x
title: Occurrence Download

description: A dataset containing 16893 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Serranus subligarius (Cope, 1870)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 16893 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021488-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25442/hku.27890835
title: <i>Supporting data for</i> "Investigating the Atlantic Meridional Oceanic Circulation variability in the Iceland Basin over the Holocene, a multi-proxy approach"

description: This research project aims to reconstruct the variability of surface and deep ocean circulation in the Iceland Basin during the Holocene epoch (11,700 years BP to Present). The study employs stable isotope analysis of oxygen (δ¹⁸O) and carbon (δ¹³C) from both benthic and planktic foraminifera, alongside the examination of benthic and planktonic assemblages. The Modern Analog Technique (MAT) was utilized to reconstruct surface paleoenvironmental parameters, while radiocarbon dating was employed to establish the age model for core U1314.<br>The data files include detailed records of stable isotope measurements, assemblage compositions, and radiocarbon dating results. Each file is meticulously organized to facilitate access to the information.<br>
DOI: 10.25442/hku.27890835.v1
title: <i>Supporting data for</i> "Investigating the Atlantic Meridional Oceanic Circulation variability in the Iceland Basin over the Holocene, a multi-proxy approach"

description: This research project aims to reconstruct the variability of surface and deep ocean circulation in the Iceland Basin during the Holocene epoch (11,700 years BP to Present). The study employs stable isotope analysis of oxygen (δ¹⁸O) and carbon (δ¹³C) from both benthic and planktic foraminifera, alongside the examination of benthic and planktonic assemblages. The Modern Analog Technique (MAT) was utilized to reconstruct surface paleoenvironmental parameters, while radiocarbon dating was employed to establish the age model for core U1314.<br>The data files include detailed records of stable isotope measurements, assemblage compositions, and radiocarbon dating results. Each file is meticulously organized to facilitate access to the information.<br>
DOI: 10.25345/c5t727t56
title: MassIVE MSV000096602 - NAFLD_Plasma/Stool/Diet samples
title: Non-alcoholic Fatty liver disease Stool, Diet and Plasma Samples
DOI: 10.25442/hku.27888678
title: Supporting data for “Estimating transmission dynamics and severity of SARS-CoV-2 Omicron following adjustment of zero-COVID policy in Shenzhen, China: a modeling study”

description: This dataset is curated to support the research project titled Estimating transmission dynamics and severity of SARS-CoV-2 Omicron following adjustment of zero-COVID policy in Shenzhen, China: a modeling study. The study investigates the unprecedented wave of Omicron infections in mainland China during late 2022, following significant policy adjustments. Surveys from this period suggested that the cumulative infection rate surpassed 80%. However, comprehensive analyses of the transmission dynamics, and disease severity during this outbreak remain limited. By integrating various data streams, this research aims to model and evaluate the transmission dynamics and severity of Omicron infections, using Shenzhen as an example.<br>The dataset contains the following key components:<br>1. Reported Case Numbers in Shenzhen (early stage of epidemic): Daily counts of confirmed cases reported in Shenzhen during the initial phase of the outbreak, providing a initialunderstanding of the epidemic's onset and progression.2. Online Poll Results (mid stage of epidemic): Data collected via online surveys conducted during the epidemic in Shenzhen, capturing self-reported symptoms.3. Age-Specific Hospitalization Data (during the epidemic): Hospital admission records categorized by three age groups, offering insights into age-related vulnerabilities and the healthcare burden during the peak of the epidemic in Shenzhen.4. Symptom-to-Hospitalization Time Intervals: Detailed data on the time intervals from symptom onset to hospitalization for patients, highlighting delays in care-seeking behavior and variations in disease progression.5. Mobility Data for Major Cities: Comprehensive mobility patterns for Beijing, Shanghai, Guangzhou, and Shenzhen from November 2022 to January 2023, providing valuable context for understanding population movement and its potential impact on transmission dynamics.6. Metro Passenger Volume: Data on metro ridership across more than 20 major cities in China during the same period, reflecting public transit usage trends and offering a proxy for urban mobility during the outbreak.7. README File: A detailed guide that explains the data sources, processing methods, variable definitions, and file structures to facilitate the dataset's reproducibility and ease of use.<br>This dataset represents a diverse and multifaceted collection of information critical for evaluating the transmission and severity of Omicron infections during a period of substantial public health transition. It enables rigorous modeling efforts and can inform future studies on epidemic dynamics. Care has been taken to ensure that sensitive or personally identifiable information has been anonymized or removed to safeguard privacy and confidentiality.
DOI: 10.25442/hku.27888678.v1
title: Supporting data for “Estimating transmission dynamics and severity of SARS-CoV-2 Omicron following adjustment of zero-COVID policy in Shenzhen, China: a modeling study”

description: This dataset is curated to support the research project titled Estimating transmission dynamics and severity of SARS-CoV-2 Omicron following adjustment of zero-COVID policy in Shenzhen, China: a modeling study. The study investigates the unprecedented wave of Omicron infections in mainland China during late 2022, following significant policy adjustments. Surveys from this period suggested that the cumulative infection rate surpassed 80%. However, comprehensive analyses of the transmission dynamics, and disease severity during this outbreak remain limited. By integrating various data streams, this research aims to model and evaluate the transmission dynamics and severity of Omicron infections, using Shenzhen as an example.<br>The dataset contains the following key components:<br>1. Reported Case Numbers in Shenzhen (early stage of epidemic): Daily counts of confirmed cases reported in Shenzhen during the initial phase of the outbreak, providing a initialunderstanding of the epidemic's onset and progression.2. Online Poll Results (mid stage of epidemic): Data collected via online surveys conducted during the epidemic in Shenzhen, capturing self-reported symptoms.3. Age-Specific Hospitalization Data (during the epidemic): Hospital admission records categorized by three age groups, offering insights into age-related vulnerabilities and the healthcare burden during the peak of the epidemic in Shenzhen.4. Symptom-to-Hospitalization Time Intervals: Detailed data on the time intervals from symptom onset to hospitalization for patients, highlighting delays in care-seeking behavior and variations in disease progression.5. Mobility Data for Major Cities: Comprehensive mobility patterns for Beijing, Shanghai, Guangzhou, and Shenzhen from November 2022 to January 2023, providing valuable context for understanding population movement and its potential impact on transmission dynamics.6. Metro Passenger Volume: Data on metro ridership across more than 20 major cities in China during the same period, reflecting public transit usage trends and offering a proxy for urban mobility during the outbreak.7. README File: A detailed guide that explains the data sources, processing methods, variable definitions, and file structures to facilitate the dataset's reproducibility and ease of use.<br>This dataset represents a diverse and multifaceted collection of information critical for evaluating the transmission and severity of Omicron infections during a period of substantial public health transition. It enables rigorous modeling efforts and can inform future studies on epidemic dynamics. Care has been taken to ensure that sensitive or personally identifiable information has been anonymized or removed to safeguard privacy and confidentiality.
DOI: 10.25442/hku.27672633
title: Supporting data for Genetic Pairing of the Hemagglutinin and Neuraminidase Glycoproteins of the Highly Pathogenic A(H5Nx) Avian Influenza Viruses

description: Viruses of the A/Goose/Guangdong/1/1996 (Gs/Gd) lineage highly pathogenic avian influenza (HPAI) virus of H5 subtype have successfully evolved to gain genetic diversity, expand the range of infected host species, and spread globally. In the context of the 2020 - 2021 clade 2.3.4.4b panzootic, This thesis aims to investigate 1) the genetic pairing relationship between surface glycoprotein hemagglutinin (HA) and neuraminidase (NA) glycoproteins, and 2) the genetic diversity of H5N6 and H5N8 detected from monthly poultry market surveillance in Guangdong, China between 2020 and 2022. For the first aim, findings reveal that HA and NA of H5N1 clade 2.3.4.4b viruses continued to pair after 2020. The HA shifted to pair from a short stalk N1 NA (NA clade NA.1) to full length N1 NA (NA clade NA.2). The dominant pairings detected after 2020 were HA clade 2.3.4.4b.1 with NA clade NA.2.2 and HA clade 2.3.4.4b.2 with NA clade NA.2.1. Geography and clade defining mutation are found to be factors differing between the pairings. For the second aim, the findings reveal that H5N6 viruses were of clades 2.3.4.4b and 2.3.4.4h, while H5N8 viruses were of clade 2.3.4.4b. The N6 genes were divided into two clusters: full-length and with stalk deletion, while the N8 genes clustered with clade 2.3.4.4 H5N8 viruses circulating among wild birds. 10 genotypes were identified among the 22 isolates. Specifically, H5N6 isolates contained genes derived from HPAI H5Nx viruses and low pathogenic avian influenza in China, while the H5N8 isolates contained genes derived from HPAI A(H5N8) 2.3.4.4b and A(H5N1) 2.3.2.1c. No positive selection on amino acid residues associated with mammalian adaptation was found. The dataset are divided into two chapters based on the aim. It is inclusive of scripts and necessary files to run the script (i.e. tree files and associated metadata).Chapter 2: Global Analysis of HA and NA genes under H5Nx HPAI Gs/Gd lineage influenza viruses. The materials include files for data curation, plot generation, phylogenetic tree generation and tanglegram generation.Chapter 3 "Impact of clade 2.3.4.4b reintroduction on local AIV dynamics in China. The materials include files for data curation, plot generation, and phylogenetic tree generation.<br>
DOI: 10.25442/hku.27672633.v1
title: Supporting data for Genetic Pairing of the Hemagglutinin and Neuraminidase Glycoproteins of the Highly Pathogenic A(H5Nx) Avian Influenza Viruses

description: Viruses of the A/Goose/Guangdong/1/1996 (Gs/Gd) lineage highly pathogenic avian influenza (HPAI) virus of H5 subtype have successfully evolved to gain genetic diversity, expand the range of infected host species, and spread globally. In the context of the 2020 - 2021 clade 2.3.4.4b panzootic, This thesis aims to investigate 1) the genetic pairing relationship between surface glycoprotein hemagglutinin (HA) and neuraminidase (NA) glycoproteins, and 2) the genetic diversity of H5N6 and H5N8 detected from monthly poultry market surveillance in Guangdong, China between 2020 and 2022. For the first aim, findings reveal that HA and NA of H5N1 clade 2.3.4.4b viruses continued to pair after 2020. The HA shifted to pair from a short stalk N1 NA (NA clade NA.1) to full length N1 NA (NA clade NA.2). The dominant pairings detected after 2020 were HA clade 2.3.4.4b.1 with NA clade NA.2.2 and HA clade 2.3.4.4b.2 with NA clade NA.2.1. Geography and clade defining mutation are found to be factors differing between the pairings. For the second aim, the findings reveal that H5N6 viruses were of clades 2.3.4.4b and 2.3.4.4h, while H5N8 viruses were of clade 2.3.4.4b. The N6 genes were divided into two clusters: full-length and with stalk deletion, while the N8 genes clustered with clade 2.3.4.4 H5N8 viruses circulating among wild birds. 10 genotypes were identified among the 22 isolates. Specifically, H5N6 isolates contained genes derived from HPAI H5Nx viruses and low pathogenic avian influenza in China, while the H5N8 isolates contained genes derived from HPAI A(H5N8) 2.3.4.4b and A(H5N1) 2.3.2.1c. No positive selection on amino acid residues associated with mammalian adaptation was found. The dataset are divided into two chapters based on the aim. It is inclusive of scripts and necessary files to run the script (i.e. tree files and associated metadata).Chapter 2: Global Analysis of HA and NA genes under H5Nx HPAI Gs/Gd lineage influenza viruses. The materials include files for data curation, plot generation, phylogenetic tree generation and tanglegram generation.Chapter 3 "Impact of clade 2.3.4.4b reintroduction on local AIV dynamics in China. The materials include files for data curation, plot generation, and phylogenetic tree generation.<br>
DOI: 10.25442/hku.27645804
title: Supporting data for "Harnessing the Power of Retinal Nerve Fiber Layer Optical Texture Analysis and Deep Learning in Glaucoma"

description: This dataset supports the thesis "Harnessing the Power of Retinal Nerve Fiber Layer Optical Texture Analysis and Deep Learning in Glaucoma." The research aims to leverage RNFL Optical Texture Analysis (ROTA) and deep learning techniques for glaucoma detection, classification, and progression tracking. The thesis comprises three main components: pattern analysis of ROTA in early glaucoma subjects, analysis of fundus images for glaucomatous disease diagnosis, and analysis of sequential ROTA maps for progression monitoring. The dataset is organized across three chapters, where Chapter 2 contains Excel files with patient demographics and ROTA measurement parameters from early glaucoma cases, Chapter 3 includes fundus photographs for both development and evaluation of the glaucoma diagnosis foundation model, and Chapter 4 contains sequential ROTA images for developing and assessing the glaucoma progression AI model.
DOI: 10.25442/hku.27645804.v1
title: Supporting data for "Harnessing the Power of Retinal Nerve Fiber Layer Optical Texture Analysis and Deep Learning in Glaucoma"

description: This dataset supports the thesis "Harnessing the Power of Retinal Nerve Fiber Layer Optical Texture Analysis and Deep Learning in Glaucoma." The research aims to leverage RNFL Optical Texture Analysis (ROTA) and deep learning techniques for glaucoma detection, classification, and progression tracking. The thesis comprises three main components: pattern analysis of ROTA in early glaucoma subjects, analysis of fundus images for glaucomatous disease diagnosis, and analysis of sequential ROTA maps for progression monitoring. The dataset is organized across three chapters, where Chapter 2 contains Excel files with patient demographics and ROTA measurement parameters from early glaucoma cases, Chapter 3 includes fundus photographs for both development and evaluation of the glaucoma diagnosis foundation model, and Chapter 4 contains sequential ROTA images for developing and assessing the glaucoma progression AI model.
DOI: 10.15468/dl.za6qjs
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Palinurus japonicus Von Siebold, 1824",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021489-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11393540
title: Vigorous Forced Submesoscale Instability within an Anticyclonic Eddy during Tropical Cyclone "Haitang" from Glider Array Observations

description: This matlab mat data provides data from 12 underwater gliders in the northern South China Sea in 2017.

Please contact Haibo Tang at tanghb6@mail2.sysu.edu.cn for any questions.  Wish you good luck!
DOI: 10.5281/zenodo.11393539
title: Collaborative High-Resolution Observation Datasets of an Eddy Using an Underwater Glider Network

description: This matlab mat data provides data from 12 underwater gliders in the northern South China Sea in 2017.

Please contact Haibo Tang at tanghb6@mail2.sysu.edu.cn for any questions.  Wish you good luck!
DOI: 10.5281/zenodo.11393620
title: Collaborative High-Resolution Observation Datasets of an Eddy Using an Underwater Glider Network

description: This matlab mat data provides data from 12 underwater gliders in the northern South China Sea in 2017.

Please contact Haibo Tang at tanghb6@mail2.sysu.edu.cn for any questions.  Wish you good luck!
DOI: 10.15468/dl.rx8tzr
title: Occurrence Download

description: A dataset containing 585 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Triconia minuta (Giesbrecht, 1893)"
 ]
}

 The dataset includes 585 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021490-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.75z9mz
title: Occurrence Download

description: A dataset containing 17259 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Misgurnus anguillicaudatus (Cantor, 1842)"
 ]
}

 The dataset includes 17259 records from 106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021491-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dqvfxr
title: Occurrence Download

description: A dataset containing 3278 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sphoeroides nephelus (Goode & Bean, 1882)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3278 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021493-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.