cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25442/hku.23629167.v1
title: Supporting data for" Oral health of preschool children in Shenzhen and prevention of decay in their primary teeth through the use of fluoride toothpaste"

description: The oral health survey aimed to investigate the dental caries situation and its associated factors among the preschool children in Shenzhen. The caries status’ part of the two clinical trial aimed to evaluate the effects of daily toothbrushing with fluoride toothpaste.The oral microbiome analysis of the two clinical trial was to investigate the relative abundance and changes in the diversity of oral microbiome in preschool children after using fluoride toothpaste in short and long period.The data contains the Excel sheets of children's dmft index by clinical examination and their parents' questionnaire result. Analysis of covariance was used to assess the associations between the children’s dmft and the potential risk factors. Analysis of the caries increment comparison between the test group and control group.The microbiome data contains ASV profiling, Alpha diversity, beta diversity, taxonomy community and different abundance analysis.
DOI: 10.25442/hku.23633298
title: Supporting data for “Semantic Knowledge Modeling for Facilities Asset Management - Knowledge Graph Development based on Space, Time and People"

description: This research study aimed to investigate the perspectives of industrial practitioners in the field of Facilities Management and Asset Management regarding Building Facilities Asset Management (FAM). The research employed a semi-opened interview approach to gather valuable insights and experiences from the participants. In total, interviews were conducted with a diverse group of participants, including those who agreed to audio recording and those who preferred notes-based records. <br> For the interviewees who consented to audio recording, a total of three audio record files were collected. These audio records capture the rich dialogue and detailed responses of the participants, providing a comprehensive understanding of their perspectives on FAM, organizational management strategies, challenges faced, and knowledge application. <br> For the interviewees who preferred not to be recorded, detailed notes were taken during the interviews. These notes capture the main points, key insights, and important observations discussed during the interviews. A total of seven PDF record files containing these notes were created, ensuring the confidentiality and anonymity of the participants' responses. <br> <br>
DOI: 10.25442/hku.23633298.v1
title: Supporting data for “Semantic Knowledge Modeling for Facilities Asset Management - Knowledge Graph Development based on Space, Time and People"

description: This research study aimed to investigate the perspectives of industrial practitioners in the field of Facilities Management and Asset Management regarding Building Facilities Asset Management (FAM). The research employed a semi-opened interview approach to gather valuable insights and experiences from the participants. In total, interviews were conducted with a diverse group of participants, including those who agreed to audio recording and those who preferred notes-based records. <br> For the interviewees who consented to audio recording, a total of three audio record files were collected. These audio records capture the rich dialogue and detailed responses of the participants, providing a comprehensive understanding of their perspectives on FAM, organizational management strategies, challenges faced, and knowledge application. <br> For the interviewees who preferred not to be recorded, detailed notes were taken during the interviews. These notes capture the main points, key insights, and important observations discussed during the interviews. A total of seven PDF record files containing these notes were created, ensuring the confidentiality and anonymity of the participants' responses. <br> <br>
DOI: 10.6084/m9.figshare.22309195
title: Genome assembly of the Korean intertidal mud-creeper <em>Batillaria attramentaria</em>

description: Batillaridae is a common gastropod family that occurs abundantly in the shallow coastal zone of the intertidal mudflats of the northwest Pacific Ocean, Australasia, and North America. In this family, <em>Batillaria attramentaria</em> is known for its biological invasion and colonization in estuarine and intertidal zones. It can endure and adapt the harsh intertidal conditions such as frequent temperature alteration, salinity, and air exposure. Therefore, we sequenced and assembled this Korean batillariid genome to get insight into its intertidal adaptive features. Approximately 53 Gb of DNA sequences were generated, and 863 scaffolds were assembled into a draft genome of 0.715 Gb with 97.1% BUSCO completeness value. A total of 40,596 genes were predicted. We estimated that <em>Batillaria attramentaria</em> and <em>Conus consors</em> diverged about 230 million years ago (MYA) based on the phylogenetic analysis of closely related gastropod species. This genome study sets the stage for genomics studies among native and introduced <em>Batillaria</em> populations and among the Batillaridae family members.
DOI: 10.6084/m9.figshare.22309195.v3
title: Genome assembly of the Korean intertidal mud-creeper <em>Batillaria attramentaria</em>

description: Batillaridae is a common gastropod family that occurs abundantly in the shallow coastal zone of the intertidal mudflats of the northwest Pacific Ocean, Australasia, and North America. In this family, <em>Batillaria attramentaria</em> is known for its biological invasion and colonization in estuarine and intertidal zones. It can endure and adapt the harsh intertidal conditions such as frequent temperature alteration, salinity, and air exposure. Therefore, we sequenced and assembled this Korean batillariid genome to get insight into its intertidal adaptive features. Approximately 53 Gb of DNA sequences were generated, and 863 scaffolds were assembled into a draft genome of 0.715 Gb with 97.1% BUSCO completeness value. A total of 40,596 genes were predicted. We estimated that <em>Batillaria attramentaria</em> and <em>Conus consors</em> diverged about 230 million years ago (MYA) based on the phylogenetic analysis of closely related gastropod species. This genome study sets the stage for genomics studies among native and introduced <em>Batillaria</em> populations and among the Batillaridae family members.
DOI: 10.25442/hku.23651868
title: Supporting data for the thesis "Changing responses to public health measures during the COVID-19 pandemic"

description: Attitude and acceptance of newly approved vaccines among Chinese adults (Chapter 6 of the thesis "Changing responses to public health measures during the COVID-19 pandemic"). The survey was conducted, distributed, and collected from 15 February 2021 to 21 February 2021 in Mainland China. This dataset is mainly related to the vaccination intention of COVID-19 vaccines. Data for other Chapters are authorized by the primary supervisor, the data will not be uploaded and this has been approved by the primary supervisor. <br>
DOI: 10.25442/hku.23651868.v1
title: Supporting data for the thesis "Changing responses to public health measures during the COVID-19 pandemic"

description: Attitude and acceptance of newly approved vaccines among Chinese adults (Chapter 6 of the thesis "Changing responses to public health measures during the COVID-19 pandemic"). The survey was conducted, distributed, and collected from 15 February 2021 to 21 February 2021 in Mainland China. This dataset is mainly related to the vaccination intention of COVID-19 vaccines. Data for other Chapters are authorized by the primary supervisor, the data will not be uploaded and this has been approved by the primary supervisor. <br>
DOI: 10.5281/zenodo.8083246
title: Strategy of selection and optimization of single domain antibodies targeting the PHF6 linear peptide within the Tau intrinsically disordered protein

description: Dataset pertaining to Strategy of selection and optimization of single domain antibodies targeting the PHF6 linear peptide within the Tau intrinsically disordered protein
description: {"references": ["https://biorxiv.org/cgi/content/short/2023.07.18.549252v1"]}
DOI: 10.5281/zenodo.8083245
title: Strategy of selection and optimization of single domain antibodies targeting the PHF6 linear peptide within the Tau intrinsically disordered protein

description: Dataset pertaining to Strategy of selection and optimization of single domain antibodies targeting the PHF6 linear peptide within the Tau intrinsically disordered protein
description: {"references": ["https://biorxiv.org/cgi/content/short/2023.07.18.549252v1"]}
DOI: 10.5281/zenodo.8167446
title: Dataset for the workshop paper titled "GUI-Based Software Testing: An Automated Approach Using GPT-4 and Selenium WebDriver" submitted at A-Test 2023

description: The results dataset is associated with the research paper titled "GUI-Based Software Testing: An Automated Approach Using GPT-4 and Selenium WebDriver", which has been submitted to the 14th edition of A-TEST, a workshop co-located with ASE 2023. ASE, or the Automated Software Engineering conference, is a premier event in the software engineering domain that emphasizes the role of automation in the software development process. The conference is set to take place in Kirchberg, Luxembourg on September 15. Inside the zipped results folder, each test run is cataloged in a timestamped subdirectory. Each of these subdirectories contains three files: <strong>config.json:</strong> A configuration file specific to that test run <strong>output.log:</strong> An output log detailing the test's processes and results <strong>past_actions.json:</strong> A JSON file designed for streamlined, programmatic access to the test run's data
DOI: 10.5281/zenodo.8167445
title: Dataset for the workshop paper titled "GUI-Based Software Testing: An Automated Approach Using GPT-4 and Selenium WebDriver" submitted at A-Test 2023

description: The results dataset is associated with the research paper titled "GUI-Based Software Testing: An Automated Approach Using GPT-4 and Selenium WebDriver", which has been submitted to the 14th edition of A-TEST, a workshop co-located with ASE 2023. ASE, or the Automated Software Engineering conference, is a premier event in the software engineering domain that emphasizes the role of automation in the software development process. The conference is set to take place in Kirchberg, Luxembourg on September 15. Inside the zipped results folder, each test run is cataloged in a timestamped subdirectory. Each of these subdirectories contains three files: <strong>config.json:</strong> A configuration file specific to that test run <strong>output.log:</strong> An output log detailing the test's processes and results <strong>past_actions.json:</strong> A JSON file designed for streamlined, programmatic access to the test run's data
DOI: 10.11588/data/d3wzid/gx0sab
title: building_models_pre_event_generic.zip

description: :unav
DOI: 10.11588/data/d3wzid/4bia8r
title: building_models_post_event_damage_grade3_generic.zip

description: :unav
DOI: 10.11588/data/d3wzid/opfdtl
title: building_models_post_event_damage_grade4_generic.zip

description: :unav
DOI: 10.11588/data/d3wzid/90u9ms
title: change_feature_computation.py

description: :unav
DOI: 10.11588/data/d3wzid/xqnjfn
title: clustering.py

description: :unav
DOI: 10.11588/data/d3wzid/qz3sc0
title: building_models_post_event_damage_grade5_generic.zip

description: :unav
DOI: 10.11588/data/d3wzid/abyqtt
title: damage_classification.py

description: :unav
DOI: 10.11588/data/d3wzid
title: Classification of structural building damage grades from multi-temporal photogrammetric point clouds using a machine learning model trained on virtual laser scanning data [Data and Source Code]

description: Automatic damage assessment by analysing UAV-derived 3D point clouds provides fast information on the damage situation after an earthquake. However, the assessment of different damage grades is challenging given the variety in damage characteristics and limited transferability of methods to other geographic regions or data sources. We present a novel change-based approach to automatically assess multi-class building damage from real-world point clouds using a machine learning model trained on virtual laser scanning (VLS) data. Therein, we (1) identify object-specific point cloud-based change features, (2) extract changed building parts using k-means clustering, (3) train a random forest machine learning model with VLS data based on object-specific change features, and (4) use the classifier to assess building damage in real-world photogrammetric point clouds. We evaluate the classifier with respect to its capacity to classify three damage grades (heavy, extreme, destruction) in pre-event and post-event point clouds of an earthquake in L’Aquila (Italy). Using object-specific change features derived from bi-temporal point clouds, our approach is transferable with respect to multi-source input point clouds used for model training (VLS) and application (real-world photogrammetry). We further achieve geographic transferability by using simulated training data which characterises damage grades across different geographic regions. The model yields high multi-target classification accuracies (overall accuracy: 92.0%–95.1%). Classification performance improves only slightly when using real-world region-specific training data (3% higher overall accuracies). We consider our approach especially relevant for applications where timely information on the damage situation is required and sufficient real-world training data is not available. This dataset includes 3D building models (building_models.zip) representing the target damage grades (no damage, heavy damage, extreme damage, destruction) of this study Python source code (code.zip) used in this study to (1) generate simulated multi-temporal 3D point clouds using HELIOS++ (https://github.com/3dgeo-heidelberg/helios), (2) extract damaged building parts using k-means clustering, (3) compute object-specific geometric change features per building (4) train a multi-target random forest classifier to classify buildings into four damage grades based on object-specific change features.
DOI: 10.2908/tag00078
title: Catches in the north-east Atlantic
title: Captures dans l'Atlantique du nord -est
title: Fangmengen im Nordostatlantik

description: Jährliche Gesamtfangmenge der EU-Mitgliedstaaten, der Länder Island und Norwegen sowie anderer großer Fangnationen im Nordostatlantik. Dieses Gebiet des Atlantischen Ozeans umfasst ungefähr die Gewässer östlich des 42. westlichen Längenkreises und nördlich des 36. nördlichen Breitenkreises. Es schließt die Gewässer der Ostsee ein. Die Daten sind in Lebendgewichtäquivalenten der Anlandungen ausgedrückt. Darunter versteht man das Gewicht des dem Meer entnommenen Produkts (d. h. vor der Verarbeitung). Ausgenommen sind Produkte, die aus unterschiedlichen Gründen nicht angelandet wurden.
description: The total annual catches by EU Member States, Iceland, Norway and other major fishing nations in the North-east Atlantic. This region of the Atlantic Ocean, is roughly the area to the east of 42°W longitude and north of 36°N latitude. It includes the waters of the Baltic Sea. The data are expressed in the live weight equivalent of the landings. This is the weight as the product is taken from the water (that is, before processing) but excludes any products which, for a variety of reasons, are not landed.
description: Captures annuelles totales par les États membres de l'UE, l'Islande et la Norvège, ainsi que par les principaux autres pays de pêche dans l'Atlantique du Nord-Ouest. Cette région de l'Atlantique correspond en gros à la zone située à l'est de la longitude de 42° ouest et au nord de la latitude de 36° nord. Elle comprend les eaux de la mer Baltique. Les données sont exprimées en équivalent poids vif des produits débarqués. Ce poids est celui du produit à sa sortie de l'eau (c'est-à-dire avant transformation); il exclut cependant les produits qui ne sont pas débarqués pour des raisons diverses.
DOI: 10.2908/tag00079
title: Catches in the north-west Atlantic
title: Captures dans l'Atlantique du nord-ouest
title: Fangmengen im Nordwestatlantik

description: Jährliche Gesamtfangmenge der EU-Mitgliedstaaten, der Länder Island und Norwegen sowie anderer großer Fangnationen im Nordostatlantik. Dieses Gebiet des Atlantischen Ozeans umfasst ungefähr die Gewässer westlich des 42. westlichen Breitenkreises und nördlich des 35. nördlichen Längenkreises. Die Daten sind in Lebendgewichtäquivalenten der Anlandungen ausgedrückt Darunter versteht man das Gewicht des dem Meer entnommenen Produkts (d. h. vor der Verarbeitung). Ausgenommen sind Produkte, die aus unterschiedlichen Gründen nicht angelandet wurden.
description: The total annual catches by EU Member States, Iceland, Norway and other major fishing nations in the North-west Atlantic. This region of the Atlantic Ocean, is roughly the area to the west of 42°W longitude and north of 35°N latitude. The data are expressed in the live weight equivalent of the landings. This is the weight as the product is taken from the water (that is, before processing) but excludes any products which, for a variety of reasons, are not landed.
description: Captures annuelles totales par les États membres de l'UE, l'Islande et la Norvège, ainsi que par les principaux autres pays de pêche dans l'Atlantique du Nord-Ouest. Cette région de l'Atlantique correspond en gros à la zone située à l'est de la longitude de 42° ouest et au nord de la latitude de 36° nord. Elle comprend les eaux de la mer Baltique. Les données sont exprimées en équivalent poids vif des produits débarqués. Ce poids est celui du produit à sa sortie de l'eau (c'est-à-dire avant transformation); il exclut cependant les produits qui ne sont pas débarqués pour des raisons diverses.
DOI: 10.2908/tag00080
title: Catches in the eastern central Atlantic
title: Captures dans l'Atlantique du centre-est
title: Fangmengen im östlichen Mittelatlantik

description: Jährliche Gesamtfangmenge der EU-Mitgliedstaaten, der Länder Island und Norwegen sowie anderer großer Fangnationen im Mittleren Ostatlantik. Dieses Gebiet des Atlantischen Ozeans umfasst ungefähr die Gewässer östlich des 40. westlichen Längenkreises zwischen dem 36. nördlichen Breitenkreis und dem 6. südlichen Breitenkreis. Die Daten sind in Lebendgewichtäquivalenten der Anlandungen ausgedrückt. Darunter versteht man das Gewicht des dem Meer entnommenen Produkts (d. h. vor der Verarbeitung). Ausgenommen sind Produkte, die aus unterschiedlichen Gründen nicht angelandet wurden.
description: The total annual catches by EU Member States, Iceland, Norway and other major fishing nations in the Eastern Central Atlantic. This region of the Atlantic Ocean, is roughly the area to the east of 40°W longitude between latitudes 36°N and 6°S. The data are expressed in the live weight equivalent of the landings. This is the weight as the product is taken from the water (that is, before processing) but excludes any products which, for a variety of reasons, are not landed.
description: Captures annuelles totales par les États membres de l'UE, l'Islande et la Norvège, ainsi que par les principaux autres pays de pêche dans l'Atlantique du Centre-Est . Cette région de l'Atlantique correspond en gros à la zone située à l'est de la longitude de 40° ouest entre les latitudes 36°nord et 6° sud. Les données sont exprimées en équivalent poids vif des produits débarqués. Ce poids est celui du produit à sa sortie de l'eau (c'est-à-dire avant transformation); il exclut cependant les produits qui ne sont pas débarqués pour des raisons diverses
DOI: 10.34740/kaggle/dsv/6165818
title: NSE-Scripts-Data
DOI: 10.25442/hku.23654025
title: Supporting data for "Application of Statistical Learning Principles in Cantonese Grammar Intervention for Preschool Children: Effects of Exemplar Variability"

description: This file contains the data set for two studies: a meta-analysis and a language intervention study. In the meta-analysis, we examine whether high exemplar variability in the language input is more facilitative for language learning than low exemplar variability in the language input. Previous studies of language learning (both natual language and artificial grammar) that compared the performance between high and low exemplar variability conditions were included in the meta-analysis. Also, the potential moderator of language status of the learners (with or without language disorders) was included in the analysis. In the language intervention study, Cantonese-speaking preschool children with and without Developmental Language Disorder were recruited for a Cantonese grammar intervention. The children were randomly assigned to high or low exemplar variability condition, and received 12 training sessions. The intervention program consists of multiple pretreatment baseline measures, during treatment probe test, and retention test. The children's performance were recorded in the dataset for analysis.
DOI: 10.25442/hku.23654025.v1
title: Supporting data for "Application of Statistical Learning Principles in Cantonese Grammar Intervention for Preschool Children: Effects of Exemplar Variability"

description: This file contains the data set for two studies: a meta-analysis and a language intervention study. In the meta-analysis, we examine whether high exemplar variability in the language input is more facilitative for language learning than low exemplar variability in the language input. Previous studies of language learning (both natual language and artificial grammar) that compared the performance between high and low exemplar variability conditions were included in the meta-analysis. Also, the potential moderator of language status of the learners (with or without language disorders) was included in the analysis. In the language intervention study, Cantonese-speaking preschool children with and without Developmental Language Disorder were recruited for a Cantonese grammar intervention. The children were randomly assigned to high or low exemplar variability condition, and received 12 training sessions. The intervention program consists of multiple pretreatment baseline measures, during treatment probe test, and retention test. The children's performance were recorded in the dataset for analysis.
DOI: 10.25442/hku.23659845
title: Supporting Data for "Unpacking Adaptation in Implementation: The Case of China’s Food Safety Policy"

description: I extracted food safety-related documents from official websites of local governments in Guangdong province of China using web scraping techniques. These resultant documents are freely available on the internet, and will be filtered and then examined to identify hidden patterns and trends through text-as-data analysis. I also collected survey data in collaboration with the Renmin University of China with street-level organization’s leaders (directors and/or vice directors) and frontline workers across different regions in China (Gansu, Hubei, Jiangsu, Guangdong, and Sichuan).
DOI: 10.25442/hku.23659845.v1
title: Supporting Data for "Unpacking Adaptation in Implementation: The Case of China’s Food Safety Policy"

description: I extracted food safety-related documents from official websites of local governments in Guangdong province of China using web scraping techniques. These resultant documents are freely available on the internet, and will be filtered and then examined to identify hidden patterns and trends through text-as-data analysis. I also collected survey data in collaboration with the Renmin University of China with street-level organization’s leaders (directors and/or vice directors) and frontline workers across different regions in China (Gansu, Hubei, Jiangsu, Guangdong, and Sichuan).