cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25442/hku.23537676
title: <strong>The Effects of Dual Concept Mapping on Science Content and Foreign Language Integrated Learning</strong>

description: This dataset includes pre and post-test scores of control and experimental groups in science and English. This quasi-experimental study is based on a CLIL (Content and Language Integrated Learning) context. Pre-test scores are participants' previous performance in science and English, namely the scores from last semester's final exams. Post-test scores are participants' performance in science and English after the intervention. The experimental group uses the proposed learning approach, namely a computer-based dual concept mapping approach visualizing both the knowledge structure and text structure of learning content in separate concept maps. In contrast, the control group only visualizes the knowledge structure and uses writing to represent text structure. This study aims to examine the effects of the proposed learning approach on science content and English language integrated learning among secondary students.
DOI: 10.25442/hku.23537676.v1
title: <strong>The Effects of Dual Concept Mapping on Science Content and Foreign Language Integrated Learning</strong>

description: This dataset includes pre and post-test scores of control and experimental groups in science and English. This quasi-experimental study is based on a CLIL (Content and Language Integrated Learning) context. Pre-test scores are participants' previous performance in science and English, namely the scores from last semester's final exams. Post-test scores are participants' performance in science and English after the intervention. The experimental group uses the proposed learning approach, namely a computer-based dual concept mapping approach visualizing both the knowledge structure and text structure of learning content in separate concept maps. In contrast, the control group only visualizes the knowledge structure and uses writing to represent text structure. This study aims to examine the effects of the proposed learning approach on science content and English language integrated learning among secondary students.
DOI: 10.25919/q7p3-mq84
title: Parkes observations for project P1050 semester 2023APRS_08

description: This is a request for the observation time for the timing campaign of new pulsars discovered in the reprocessing of the low-latitude Galactic plane section of the HTRU-S survey (HTRU-S LowLat) and the Parkes Multibeam Pulsar Survey (PMPS). We have completed 90 % of the HTRU-S LowLat survey and completed zero acceleration PMPS search with GPU-based coherent acceleration search, template bank, and fast folding algorithm pipelines and now have discovered 112 previously unknown pulsars among which 18 were found in the PMPS. Interesting science can usually only be derived from a new pulsar after confirmation, and a follow-up timing campaign is carried out. At least one year of initial timing is the minimum timespan required to fully characterise any newly-discovered pulsars, essential for deriving pulsar parameters such as the characteristic age, magnetic field strength, and spin-down rate, as well as for detecting any unexpected behaviour of the pulsar which might result from emission instabilities. This project is necessary for the timing of several interesting pulsars, including binary pulsars, high DM pulsars, scattered profile pulsars, and bright ones that show emissions in larger bandwidths in the UWL band. Apart from this, finding the nature of a unique binary pulsar system via a dedicated observing campaign is also another goal. The follow-up timing in semester 2023APRS will assist in completing many exciting large-term science goals.
DOI: 10.25919/qtqs-ab41
title: Parkes observations for project P1162 semester 2023APRS_04

description: Pulsar timing is a powerful tool in studying pulsar physics. Discovering more exotic pulsar systems or timing pulsars with higher precision is an essential part of pulsar astronomy. As a recently discovered millisecond pulsar, PSR J1402+13 is an interesting source for follow-up timing observations. First, its apparent spin-down rate is the highest among known millisecond pulsars. This spin-down rate, if confirmed, will place stringent constraints on the spin-up process predicted by pulsar recycling theories. Second, and more importantly, preliminary analysis shows that J1402+13 is a very promising candidate for pulsar timing arrays, with an achievable precision at the level of 6 nanoseconds for 60 minutes observation with Parkes. We have observed J1402+13 for 8 times in the past two months and propose to continue the observations in the coming semester. We apply for another 14 hours to observe the pulsar to extend the timing baseline to one year. This project will derive an ephemeris of the system, which is valuable to understand its formation and evolution history. Furthermore, the observations will allow us to evaluate the timing performance of J1402+13 and its suitability to be included in pulsar timing arrays.
DOI: 10.25442/hku.23565795
title: Supporting data for “Engineering design for soft biomedical devices: From sensor to power”

description: The data contains two experiments, kirigami electronics and a hydrogel mechanical-electrical energy convertor. All data about those two projects obtained from my experiments was included in this dataset, and the readme file gives instructions about the details of the dataset.
DOI: 10.25442/hku.23565042
title: Supporting data for "Improving the practicality and reliability of ecological risk assessment of emerging contaminants: development of an integrated framework"

description: This dataset is the supporting information of the Ph.D. thesis entitled "Improving the practicality and reliability of ecological risk assessment of emerging contaminants: development of an integrated framework" submitted by ZHANG Jiawei in June 2023. <br> The thesis aims to conduct an integrated ecological risk assessments (ERA) framework for emerging contaminants (ECs) to support decision-making. <br> The dataset contains five parts, i.e., one .xlsx file and four .docx files.<br> <em>Data 1 and Data 2 files (Chapter 3) mainly contain the toxicity data and validation results for the development of quantitative structure-activity relationship (QSAR), interspecies correlation estimation (ICE), and species sensitivity distribution (SSD) models.</em><br> <em>Data 3 file (Chapter 4) mainly contains the toxicity data and validation results of the SSD models for two target ECs, i.e., NP and TNNPA.</em><br> <em>Data 4 file (Chapter 5) mainly contains PFOS and PFOA toxicity data.</em><br> <em>Data 5 file (Chapter 6) mainly contains the toxicity data, validation results of the SSD models, and risk levels of 36 antibiotics.</em>
DOI: 10.25442/hku.23565042.v1
title: Supporting data for "Improving the practicality and reliability of ecological risk assessment of emerging contaminants: development of an integrated framework"

description: This dataset is the supporting information of the Ph.D. thesis entitled "Improving the practicality and reliability of ecological risk assessment of emerging contaminants: development of an integrated framework" submitted by ZHANG Jiawei in June 2023. <br> The thesis aims to conduct an integrated ecological risk assessments (ERA) framework for emerging contaminants (ECs) to support decision-making. <br> The dataset contains five parts, i.e., one .xlsx file and four .docx files.<br> <em>Data 1 and Data 2 files (Chapter 3) mainly contain the toxicity data and validation results for the development of quantitative structure-activity relationship (QSAR), interspecies correlation estimation (ICE), and species sensitivity distribution (SSD) models.</em><br> <em>Data 3 file (Chapter 4) mainly contains the toxicity data and validation results of the SSD models for two target ECs, i.e., NP and TNNPA.</em><br> <em>Data 4 file (Chapter 5) mainly contains PFOS and PFOA toxicity data.</em><br> <em>Data 5 file (Chapter 6) mainly contains the toxicity data, validation results of the SSD models, and risk levels of 36 antibiotics.</em>
DOI: 10.25442/hku.23552805
title: <em>Supporting data for</em> “Efficient Energy Extraction of Salinity Gradient Power through A Reverse-Electrodialysis System”

description: Salinity gradient power (SGP) derived from sea and fresh water through reverse electrodialysis (RED) is an emerging discipline with huge potential for carbon-free energy harvesting. SGP technology is still in an infant stage and there is a need for accurate models to study its energy harvesting process and describe its electrical performance. The data in experiment 1 include time, stack voltage, and current, which are used to fix the value of the model parameters. Moreover, maximum power point tracking techniques are of great significance to efficiently utilize SGP through RED stacks.The data in experiment 2 include time, stack voltage, current, and also the attainable electric power under the MPPT control. They are used to validate the effectiveness of the proposed MPPT technique. Last but not least, a single-input multiple-output inverter with decoupled control is necessary to deliver power from the stack to output loads. The data in experiment 3 comprise of several figures of operation waveforms under different operating conditions. They are used to validate the feasibility and effectiveness of the designed power interface as well as the decoupled control method.
DOI: 10.25442/hku.23552805.v1
title: <em>Supporting data for</em> “Efficient Energy Extraction of Salinity Gradient Power through A Reverse-Electrodialysis System”

description: Salinity gradient power (SGP) derived from sea and fresh water through reverse electrodialysis (RED) is an emerging discipline with huge potential for carbon-free energy harvesting. SGP technology is still in an infant stage and there is a need for accurate models to study its energy harvesting process and describe its electrical performance. The data in experiment 1 include time, stack voltage, and current, which are used to fix the value of the model parameters. Moreover, maximum power point tracking techniques are of great significance to efficiently utilize SGP through RED stacks.The data in experiment 2 include time, stack voltage, current, and also the attainable electric power under the MPPT control. They are used to validate the effectiveness of the proposed MPPT technique. Last but not least, a single-input multiple-output inverter with decoupled control is necessary to deliver power from the stack to output loads. The data in experiment 3 comprise of several figures of operation waveforms under different operating conditions. They are used to validate the feasibility and effectiveness of the designed power interface as well as the decoupled control method.
DOI: 10.25442/hku.23584683
title: Supporting data for “The sexual health and psychosocial well-being in Chinese adult women of diverse sexual identities: A mixed methods study”

description: Quantitative data: <br> All participants completed a set of sociodemographic items, including their age, religion/ethnicity, employment status, education level, income, place of birth, residential place, substance use (smoking, alcohol use, drug use), and relationship status as well as partnership types. <br> Regarding participants’ sexuality information, three questions were used to collect and verify their gender identity and sexual orientation identity, respectively. Questions about gender identity include: “What is your birth-assigned gender?”, “What is the gender on your official documents?” and “What is your gender identity?” Questions about sexual orientation identity include: “What gender attracts you emotionally/romantically?”, “What gender attracts you physically/sexually?”, and “What is your sexual orientation identity”. <br> <strong>Sexual health related variables</strong> To measure sexual health, validated instruments were used to assess the following outcomes: i) sexual function; ii) sexual satisfaction; iii) positive sexuality. Participants were also asked about their sexual behaviors and experiences, their history of STI and reproductive symptoms as well as corresponding healthcare-seeking behaviors. <br> <strong>Psychosocial well-being related variables</strong> To measure psychosocial well-being, validated instruments were used to assess the following outcomes: i) quality of life; ii) depression; iii) anxiety; iv) self-esteem; v) social support. Participants were also asked about their socio-demographic information, including age, employment, religion/ethnicity, education level, income, relationship status, and sleep quality using validated instrument. <br> Qualitative data: <br> In-depth interviews were conducted to explore how individuals’ sexual identities and social differences intersect to shape their experiences and perspectives on their sexual health and well-being. Specifically, the interview guide included a series of topics related to participants’ perceived sexual identity, perceptions of sexual health, experiences of sexual activities and relationships, views of sexual well-being, and how they access sexual health services and what they think can be done to improve the experiences of sexual healthcare.
DOI: 10.25442/hku.23584683.v1
title: Supporting data for “The sexual health and psychosocial well-being in Chinese adult women of diverse sexual identities: A mixed methods study”

description: Quantitative data: <br> All participants completed a set of sociodemographic items, including their age, religion/ethnicity, employment status, education level, income, place of birth, residential place, substance use (smoking, alcohol use, drug use), and relationship status as well as partnership types. <br> Regarding participants’ sexuality information, three questions were used to collect and verify their gender identity and sexual orientation identity, respectively. Questions about gender identity include: “What is your birth-assigned gender?”, “What is the gender on your official documents?” and “What is your gender identity?” Questions about sexual orientation identity include: “What gender attracts you emotionally/romantically?”, “What gender attracts you physically/sexually?”, and “What is your sexual orientation identity”. <br> <strong>Sexual health related variables</strong> To measure sexual health, validated instruments were used to assess the following outcomes: i) sexual function; ii) sexual satisfaction; iii) positive sexuality. Participants were also asked about their sexual behaviors and experiences, their history of STI and reproductive symptoms as well as corresponding healthcare-seeking behaviors. <br> <strong>Psychosocial well-being related variables</strong> To measure psychosocial well-being, validated instruments were used to assess the following outcomes: i) quality of life; ii) depression; iii) anxiety; iv) self-esteem; v) social support. Participants were also asked about their socio-demographic information, including age, employment, religion/ethnicity, education level, income, relationship status, and sleep quality using validated instrument. <br> Qualitative data: <br> In-depth interviews were conducted to explore how individuals’ sexual identities and social differences intersect to shape their experiences and perspectives on their sexual health and well-being. Specifically, the interview guide included a series of topics related to participants’ perceived sexual identity, perceptions of sexual health, experiences of sexual activities and relationships, views of sexual well-being, and how they access sexual health services and what they think can be done to improve the experiences of sexual healthcare.
DOI: 10.25442/hku.23587431
title: Supporting data for "using chatbots to support online students’ engagement and performance"

description: This study explores the innovative use of chatbots to enhance students' online learning in two mixed-method case studies, which involved two classes of students experiencing chatbot-supported online learning. <br> We evaluated students' learning engagement, performance, and perceptions of chatbot-supported online learning. Student engagement was examined from three aspects: behavioral engagement, cognitive engagement, and emotional engagement. Learning performance was measured by pre- and post-tests regarding the domain knowledge. Students' perceptions were measured by surveys and follow-up semi-structured interviews. <br> This set of supporting data includes students' learning records, pre- and post-tests, survey data results, and interview transcripts regarding using the chatbots in the two online courses.
DOI: 10.25442/hku.23587431.v1
title: Supporting data for "using chatbots to support online students’ engagement and performance"

description: This study explores the innovative use of chatbots to enhance students' online learning in two mixed-method case studies, which involved two classes of students experiencing chatbot-supported online learning. <br> We evaluated students' learning engagement, performance, and perceptions of chatbot-supported online learning. Student engagement was examined from three aspects: behavioral engagement, cognitive engagement, and emotional engagement. Learning performance was measured by pre- and post-tests regarding the domain knowledge. Students' perceptions were measured by surveys and follow-up semi-structured interviews. <br> This set of supporting data includes students' learning records, pre- and post-tests, survey data results, and interview transcripts regarding using the chatbots in the two online courses.
DOI: 10.6084/m9.figshare.23658549
title: RNA seq Avastin HEX and Comb.csv

description: RNA seq on intracranial tumor xenografts of D423 ENO1 homozygously deleted glioma cell line, treated with Avastin, HEX, combination of Avastin and HEX, or vehicle.
DOI: 10.6084/m9.figshare.23658549.v1
title: RNA seq Avastin HEX and Comb.csv

description: RNA seq on intracranial tumor xenografts of D423 ENO1 homozygously deleted glioma cell line, treated with Avastin, HEX, combination of Avastin and HEX, or vehicle.
DOI: 10.25919/0400-ga12
title: Parkes observations for project P595 semester 2023APRS_06

description: We propose to continue the PULSE@Parkes project in which high school students from Australia and around the World use the Parkes radio telescope in a remote observing model to observe and analyse pulsar data. The data from some PULSE@Parkes observations are used to support the space missions, other observations supplement the P456 Pulsar Timing Array project and the remainder were chosen in order to make a detailed analysis of pulsar timing irregularities and intermittency.
DOI: 10.6084/m9.figshare.21780425
title: Paths from Aerosol Particles to Activation and Cloud Droplets in Shallow Cumulus Clouds: The Roles of Entrainment and Supersaturation Fluctuation

description: These data are obtained by using PALM (https://palm.muk.uni-hannover.de/trac), the large eddy simulation. The simulation is designed to produce a shallow cumulus field following Siebesma et al. (2003). The very version of PALM which the authors used can be found at https://zenodo.org/record/6602210#.ZFzWjHZByHs. <br> LCMA_upload.tar contains both configuration files for the simulation and analysis code for the figures. Please check the README.txt file in the directory. <br> DATA_NetCDF.tar contains the profile output from the PALM simulation, which can be obtained by using provided simulation setup. The simulations are performed with 3 different initial aerosol concentrations (C = 200, 500, and 2000 cm-3). NetCDF data contains profiles for all simulations with 15 s time intervals with various outputs. <br> DATA_ParticleTrack.tar contains the tracking output from the PALM simulation. Please read the README.txt file in LCMA_upload.tar for further information. Particle Tracking data contains unsorted and sorted time series of various variables obtained by tracking 100 randomly selected particles. Analysis code is also included, which provides a brief explanation of the variables in the ASCII data.
DOI: 10.6084/m9.figshare.21780425.v2
title: Paths from Aerosol Particles to Activation and Cloud Droplets in Shallow Cumulus Clouds: The Roles of Entrainment and Supersaturation Fluctuation

description: These data are obtained by using PALM (https://palm.muk.uni-hannover.de/trac), the large eddy simulation. The simulation is designed to produce a shallow cumulus field following Siebesma et al. (2003). The very version of PALM which the authors used can be found at https://zenodo.org/record/6602210#.ZFzWjHZByHs. <br> LCMA_upload.tar contains both configuration files for the simulation and analysis code for the figures. Please check the README.txt file in the directory. <br> DATA_NetCDF.tar contains the profile output from the PALM simulation, which can be obtained by using provided simulation setup. The simulations are performed with 3 different initial aerosol concentrations (C = 200, 500, and 2000 cm-3). NetCDF data contains profiles for all simulations with 15 s time intervals with various outputs. <br> DATA_ParticleTrack.tar contains the tracking output from the PALM simulation. Please read the README.txt file in LCMA_upload.tar for further information. Particle Tracking data contains unsorted and sorted time series of various variables obtained by tracking 100 randomly selected particles. Analysis code is also included, which provides a brief explanation of the variables in the ASCII data.
DOI: 10.5281/zenodo.7030565
title: UI design dataset

description: The EGFE dataset is a collection of high-quality UI design prototypes with fragmented layered data. It includes high-fidelity UI screenshots and JSON files containing metadata of the design prototypes. This dataset aims to assist in merging fragmented elements within design prototypes, thereby alleviating the burden on developers to understand the designer's intent and aiding automated code generation tools in producing high-quality frontend code. What sets this dataset apart from others is the methodology employed to obtain UI screenshots and the hierarchical structure of views, which involves parsing UI design prototypes created using design tools like Sketch and Figma. It's important to note that a significant portion of the UI design drafts used in this dataset was generously provided by Alibaba Group, and their usage requires consent from Alibaba Group. To facilitate model testing, we have released a partial dataset here, adhering to the terms of the MIT license. If you require access to the complete dataset, please contact the authors of the paper. In this repo, we release a total of 300 samples and pre-trained model checkpoints. It includes the following: EGFE-dataset.zip xxx-assets.png: image of stacked elements xxx.json: properties of UI elements xxx.png: screenshot of high-fidelity UI design prototypes pre-trained model.7z model checkpoints tensorboard logs for visualization a log.txt file design-prototype.7z two design prototypes for testing data processing baseline model.7z efficient_net: model config, checkpoints, and logs. vit: model config, checkpoints, and logs. swin: model config, checkpoints, and logs. UIED_Classifier: Classifier checkpoints for UIED trained using the EGFE dataset (binary classification, i.e., components to be merged and components not to be merged). UILM: model config, checkpoints, and logs. ULDGNN: model config, checkpoints, and logs.
DOI: 10.5281/zenodo.7030566
title: UI design dataset

description: EGFE dataset is an annotated dataset containing high-fidelity fully designed UI screenshots and corresponding JSON files. It differs from other UI datasets because we obtain the UI screenshots and the view hierarchies by parsing the UI design drafts from modern design tools such as Sketch and Figma. In this repo, we release a total of 100 samples. It includes the following: xxx-assets.png: image of stacked layers xxx.json: properties of layers xxx.png: screenshot of high-fidelity UI design drafts