cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25919/8tvg-d885
title: Maximum number of consecutive dry years from two-monthly surface water extent for MDB using MIM and WOFS

description: The multi-index method (MIM) (refer to Ticehurst, Teng and Sengupta 2022 in the Related Links for a description of the method) was developed for mapping surface water across the Murray-Darling Basin (MDB) based on Landsat surface reflectance data available in Digital Earth Australia. More than thirty years of two-monthly images of surface water extent across the whole MDB have been produced using this method, along with Water Observations from Space (WOfS) to fill in any gaps associated with cloud cover due to the different cloud masks used. The maximum annual water extent was derived from the MIM-WOfS layers, which were then used to calculate the maximum number of consecutive years that a pixel is dry from 1988 to 2022, and 2010 to 2022 (which excludes the Millenium Drought). The data were produced as part of the Murray-Darling Basin Ecosystem Function (MDB-EF) project.
DOI: 10.25919/g32n-5t71
title: Isotopic data from Nova-Bollinger Ni-Cu-Co deposit

description: S, Nd and Sr isotope data on samples from the Nova-Bollinger Ni-Cu-Co sulfide deposit, Fraser Zone, WA, with additional trace element and isotopic data from other intrusions and metasedimentary rocks in the Fraser Zone.
DOI: 10.5281/zenodo.7726348
title: Supporting information for "Incoming Neutron Flux Corrections for Cosmic-ray Soil and Snow Sensors Using the Global Neutron Monitor Network"

description: This dataset includes 2 files that represent supporting information for McJannet, D and Desilets, D (Submitted 2023)"Incoming Neutron Flux Corrections for Cosmic-ray Soil and Snow Sensors Using the Global Neutron Monitor Network" Water Resources Research. File 1 - Supporting Information 1 - Example calculation: Excel sheet showing demonstration calaculations using the neutron intensity correction described in the paper File 2 - Supporting information 2 - List of neutron moniotr stations used in the paper and acknowledgment of their contribtuion
DOI: 10.34740/kaggle/dsv/5154305
title: Polish-Ukrainian translations from Tatoeba
DOI: 10.25442/hku.22211434
title: Supporting data for “Ethnic Differences in Secondary School Students' Achievement Emotions toward Mathematics: A Comparative Study between Chinese Dai and Han”

description: This study concerns the mathematics achievement emotions of Chinese Dai and Han secondary school students. It focused on Dai and Han students’ emotional experience in learning mathematics and what factors affect their control and value appraisals, which further affect their mathematics achievement emotions. The dataset contains several files: raw data, processed data, audio interviews and transcripts, and fieldwork photos. Because sensitive information about participants is contained, the dataset is embargoed.
DOI: 10.25442/hku.22211434.v1
title: Supporting data for “Ethnic Differences in Secondary School Students' Achievement Emotions toward Mathematics: A Comparative Study between Chinese Dai and Han”

description: This study concerns the mathematics achievement emotions of Chinese Dai and Han secondary school students. It focused on Dai and Han students’ emotional experience in learning mathematics and what factors affect their control and value appraisals, which further affect their mathematics achievement emotions. The dataset contains several files: raw data, processed data, audio interviews and transcripts, and fieldwork photos. Because sensitive information about participants is contained, the dataset is embargoed.
DOI: 10.25442/hku.22126568
title: Supporting data for “Optimizing Federated Learning with Communication Reduction and Synchronization Control”

description: Experimental data used in Thesis “Optimizing Federated Learning with Communication Reduction and Synchronization Control”. There are source codes that read the logs from the 'data/' folder and then display the figures or tables. <br> This thesis aims to improve the federated learning systems with communication reduction techniques and accelerate model convergence speed by asynchronous training. The provided data show the effectiveness of our proposed algorithm, which includes two fast K asynchronous algorithms and a novel weighted aggregation function. <br> <br> <br>
DOI: 10.25442/hku.22126568.v1
title: Supporting data for “Optimizing Federated Learning with Communication Reduction and Synchronization Control”

description: Experimental data used in Thesis “Optimizing Federated Learning with Communication Reduction and Synchronization Control”. There are source codes that read the logs from the 'data/' folder and then display the figures or tables. <br> This thesis aims to improve the federated learning systems with communication reduction techniques and accelerate model convergence speed by asynchronous training. The provided data show the effectiveness of our proposed algorithm, which includes two fast K asynchronous algorithms and a novel weighted aggregation function. <br> <br> <br>
DOI: 10.25442/hku.13700404
title: Supporting data for "Exploring the influencing factors of computational thinking of primary school students"

description: This is the data from my thesis, there are three studies. <br> Study 1 aims to validate a self-developed test for assessing primary students' computational thinking. A pilot study and a main study were conducted. <br> Study 2 aims to examine the cognitive correlates of computational thinking of primary students. A pilot study and a main study were conducted. <br> Study 3 aims to examine the noncognitive correlates of computational thinking of primary students. Two sub-studies were conducted. <br> The dataset contained raw data results of students' test performance collected from primary schools in mainland China.
DOI: 10.25442/hku.13700404.v1
title: Supporting data for "Exploring the influencing factors of computational thinking of primary school students"

description: This is the data from my thesis, there are three studies. <br> Study 1 aims to validate a self-developed test for assessing primary students' computational thinking. A pilot study and a main study were conducted. <br> Study 2 aims to examine the cognitive correlates of computational thinking of primary students. A pilot study and a main study were conducted. <br> Study 3 aims to examine the noncognitive correlates of computational thinking of primary students. Two sub-studies were conducted. <br> The dataset contained raw data results of students' test performance collected from primary schools in mainland China.
DOI: 10.25442/hku.22179880
title: Supporting data for "Structural connectivity of the language system: evidence from patients with aphasia"

description: This dataset contains behavioral test scores collected from patients with aphasia. This is a supporting document for the study entitled “structural connectivity of the language network: evidence from patients with aphasia”. We evaluated patients’ language abilities on multiple linguistic domains using a widely adopted Chinese aphasia battery, Chinese Rehabilitation Research Center Standard Aphasia Examination (CRRCAE). Test scores for each subtest for individual patient were listed in the excel file. We also included standard scores of several neuropsychological assessments in the dataset. Brief descriptions of the assessments such as the title, the score range were included in the excel file.
DOI: 10.25442/hku.22179880.v1
title: Supporting data for "Structural connectivity of the language system: evidence from patients with aphasia"

description: This dataset contains behavioral test scores collected from patients with aphasia. This is a supporting document for the study entitled “structural connectivity of the language network: evidence from patients with aphasia”. We evaluated patients’ language abilities on multiple linguistic domains using a widely adopted Chinese aphasia battery, Chinese Rehabilitation Research Center Standard Aphasia Examination (CRRCAE). Test scores for each subtest for individual patient were listed in the excel file. We also included standard scores of several neuropsychological assessments in the dataset. Brief descriptions of the assessments such as the title, the score range were included in the excel file.
DOI: 10.25442/hku.22179910
title: Supporting data for “Clarifying the relationship between science teachers’ pedagogical content knowledge and student learning outcomes”

description: This dataset supports the Ph.D. thesis “Clarifying the relationship between science teachers’ pedagogical content knowledge and student learning outcomes”. It contains data collected from teachers’ two types of PCK test (video-based and test-based tests) for two biology topics in the pilot study and main study, student assessments for two topics in the pilot study and main study, teacher interviews in the pilot study and main study as well as the ethical approval application form. With the obtained data, the study provides robust empirical evidence that clarifies the relationship between science teachers’ PCK and student learning.
DOI: 10.25442/hku.22179910.v1
title: Supporting data for “Clarifying the relationship between science teachers’ pedagogical content knowledge and student learning outcomes”

description: This dataset supports the Ph.D. thesis “Clarifying the relationship between science teachers’ pedagogical content knowledge and student learning outcomes”. It contains data collected from teachers’ two types of PCK test (video-based and test-based tests) for two biology topics in the pilot study and main study, student assessments for two topics in the pilot study and main study, teacher interviews in the pilot study and main study as well as the ethical approval application form. With the obtained data, the study provides robust empirical evidence that clarifies the relationship between science teachers’ PCK and student learning.
DOI: 10.25442/hku.21895646
title: Supporting dataset for First-principles Quantum Chemical Studies on Reaction of Hydrogen Superoxide with Water and Sulfur Dioxide at Supercritical Conditions

description: As people pay more and more attention to the air pollution, it is particularly essential to study the chemical reaction mechanism in atmospheric reactions. Hydrogen-oxygen species such as OH, HO<sub>2</sub>, H<sub>2</sub>O<sub>2</sub>, and H<sub>2</sub>O are important in atmospheric chemistry, and their reaction mechanisms deserve further study. However, due to the extremely high cost of calculation, the accuracy of electronic structure calculation was relatively low in past studies, resulting in unclear reaction mechanism explanations in the calculation of low-barrier reactions. In this study, we combined high-precision electronic structure calculation with machine learning (ML) methods and proposed more reasonable reaction mechanisms. To get better understanding of the atmospheric reaction mechanism, both the HO<sub>2</sub> radical reacts with the most abundant greenhouse gas water vapor as well as the SO<sub>2</sub> molecule were investigated in the thesis. the full-dimensional full-scale energy surface (PES) with high precision using the ab initio electronic structure calculation method were constructed for further calculation with higher accuracy. Different from traditional research, we use the ML method, fitting the PES by PIP-NN method within minimal error, and molecular dynamics simulation is performed to obtain effective trajectories. To get more accurate rate constant, both traditional TST and CVT methods, as well as the quasi-classical trajectory based on the fitting PES were used. The results calculated helped to understand the mechanism of the atmospheric well. As the calculated results have great agreement with the experimental results, we can explain these reactions in theoretical dimension. From our calculations, we acquired the catalyst effect of HO<sub>2</sub> radical and H<sub>2</sub>O molecules, and from the simulated mostly possible trajectory based on the transition state structure we found, we get the rate constant which corresponds greatly to the experimental results. Our calculation and simulation results can confirm the reaction mechanism between air pollutants and HO<sub>2</sub> molecules.
DOI: 10.25442/hku.21895646.v1
title: Supporting dataset for First-principles Quantum Chemical Studies on Reaction of Hydrogen Superoxide with Water and Sulfur Dioxide at Supercritical Conditions

description: As people pay more and more attention to the air pollution, it is particularly essential to study the chemical reaction mechanism in atmospheric reactions. Hydrogen-oxygen species such as OH, HO<sub>2</sub>, H<sub>2</sub>O<sub>2</sub>, and H<sub>2</sub>O are important in atmospheric chemistry, and their reaction mechanisms deserve further study. However, due to the extremely high cost of calculation, the accuracy of electronic structure calculation was relatively low in past studies, resulting in unclear reaction mechanism explanations in the calculation of low-barrier reactions. In this study, we combined high-precision electronic structure calculation with machine learning (ML) methods and proposed more reasonable reaction mechanisms. To get better understanding of the atmospheric reaction mechanism, both the HO<sub>2</sub> radical reacts with the most abundant greenhouse gas water vapor as well as the SO<sub>2</sub> molecule were investigated in the thesis. the full-dimensional full-scale energy surface (PES) with high precision using the ab initio electronic structure calculation method were constructed for further calculation with higher accuracy. Different from traditional research, we use the ML method, fitting the PES by PIP-NN method within minimal error, and molecular dynamics simulation is performed to obtain effective trajectories. To get more accurate rate constant, both traditional TST and CVT methods, as well as the quasi-classical trajectory based on the fitting PES were used. The results calculated helped to understand the mechanism of the atmospheric well. As the calculated results have great agreement with the experimental results, we can explain these reactions in theoretical dimension. From our calculations, we acquired the catalyst effect of HO<sub>2</sub> radical and H<sub>2</sub>O molecules, and from the simulated mostly possible trajectory based on the transition state structure we found, we get the rate constant which corresponds greatly to the experimental results. Our calculation and simulation results can confirm the reaction mechanism between air pollutants and HO<sub>2</sub> molecules.
DOI: 10.25442/hku.21864462
title: Supporting data for "The Effectiveness of Enhancing Contact Model on Reducing Affiliate Stigma among Family Caregivers of Persons with Schizophrenia in Rural China: A Mixed Method Study”

description: The dataset includes all data written in the thesis titled “The Effectiveness of Enhancing Contact Model (ECM) on Reducing Affiliate Stigma among Family Caregivers of Persons with Schizophrenia in Rural China: A Mixed Method Study.” Based on contact theory, ECM pertains to positive contact, rather than general or even negative contact. By using both quantitative and qualitative methods, we examined the efficacy of ECM in a randomized control trial, and further explored its potential mechanism in content analysis. Evidence showed that ECM is an effective and stable anti-stigma strategy in the context of rural China.
DOI: 10.25442/hku.21864462.v1
title: Supporting data for "The Effectiveness of Enhancing Contact Model on Reducing Affiliate Stigma among Family Caregivers of Persons with Schizophrenia in Rural China: A Mixed Method Study”

description: The dataset includes all data written in the thesis titled “The Effectiveness of Enhancing Contact Model (ECM) on Reducing Affiliate Stigma among Family Caregivers of Persons with Schizophrenia in Rural China: A Mixed Method Study.” Based on contact theory, ECM pertains to positive contact, rather than general or even negative contact. By using both quantitative and qualitative methods, we examined the efficacy of ECM in a randomized control trial, and further explored its potential mechanism in content analysis. Evidence showed that ECM is an effective and stable anti-stigma strategy in the context of rural China.
DOI: 10.34740/kaggle/dsv/5153941
title: Monthly Mean Temperature Data for Major US Cities
DOI: 10.34740/kaggle/dsv/5154516
title: Formula 1 Drivers Dataset
DOI: 10.25442/hku.22181956
title: Data set for thesis submission entitled "Characterization of cardiac defects associated with Vinculin deletion in cardiac neural crest"

description: Vinculin (Vcl) is an adaptor protein of adherens junctions and focal adhesions. Cardiac neural crest cell (CNCC) is a key population of progenitor cells regulating the cardiac outflow tract (OFT) septation and valvulogenesis. Neurocristopathy patients carrying a loss-of-function mutation in VCL presented various cardiac defects. A mouse model of NCC-specific knockout of Vcl (Vcl-cKO) nicely phenocopied the cardiac defects as seen in the patients and exhibited hyperplastic semilunar valves. Here, we aimed to characterize the molecular mechanisms underlying the NCC-mediated valvulogenesis using Vcl-cKO. Single cell transcriptomic analysis of CNCC progenies in E13.5 embryonic hearts revealed that transforming growth factor-b (TGF-b) signaling is severely interrupted in the mutant cells. More intriguingly, subsequent immunohistochemistry analysis (IHC) further discovered a novel role of TGF-b signal in mediating the crosstalk between CNCC- and endothelial- derived valvular interstitial cells (VICs) and their activation during valvulogenesis. Defective TGF-b signal interrupted the activation of CNCC-derived VICs, leading to retarded myocardialization and failure in valve remodeling. While TGF-b signaling disruption was observed at E10.5 interrupting the formation of endocardial cushion, temporal tracking of TGF-b activation in valvular interstitial cells from E10.5 to E15.5 further revealed two waves of TGF-b signaling activation in semilunar valvulogenesis, contributing to separate developmental processes. The disruption of TGF-b signaling was found with a delayed upregulation from E13.5 to E15.5 in mutant VICs. Together with cell proliferation and apoptosis assays, it might suggest the hyperplastic SLV observed in Vcl-cKO mutant was associated with aberrant proliferation of CNCC-VICs through delayed TGF-b signaling activation. In summary, it was found that Vcl plays a crucial role in mediating semilunar valvulogenesis through TGF-b signaling regulation in CNCCs. CNCCs contributed essentially as a TGF-b signaling hub to EndoMT and VIC activation and differentiation.
DOI: 10.25442/hku.22181956.v1
title: Data set for thesis submission entitled "Characterization of cardiac defects associated with Vinculin deletion in cardiac neural crest"

description: Vinculin (Vcl) is an adaptor protein of adherens junctions and focal adhesions. Cardiac neural crest cell (CNCC) is a key population of progenitor cells regulating the cardiac outflow tract (OFT) septation and valvulogenesis. Neurocristopathy patients carrying a loss-of-function mutation in VCL presented various cardiac defects. A mouse model of NCC-specific knockout of Vcl (Vcl-cKO) nicely phenocopied the cardiac defects as seen in the patients and exhibited hyperplastic semilunar valves. Here, we aimed to characterize the molecular mechanisms underlying the NCC-mediated valvulogenesis using Vcl-cKO. Single cell transcriptomic analysis of CNCC progenies in E13.5 embryonic hearts revealed that transforming growth factor-b (TGF-b) signaling is severely interrupted in the mutant cells. More intriguingly, subsequent immunohistochemistry analysis (IHC) further discovered a novel role of TGF-b signal in mediating the crosstalk between CNCC- and endothelial- derived valvular interstitial cells (VICs) and their activation during valvulogenesis. Defective TGF-b signal interrupted the activation of CNCC-derived VICs, leading to retarded myocardialization and failure in valve remodeling. While TGF-b signaling disruption was observed at E10.5 interrupting the formation of endocardial cushion, temporal tracking of TGF-b activation in valvular interstitial cells from E10.5 to E15.5 further revealed two waves of TGF-b signaling activation in semilunar valvulogenesis, contributing to separate developmental processes. The disruption of TGF-b signaling was found with a delayed upregulation from E13.5 to E15.5 in mutant VICs. Together with cell proliferation and apoptosis assays, it might suggest the hyperplastic SLV observed in Vcl-cKO mutant was associated with aberrant proliferation of CNCC-VICs through delayed TGF-b signaling activation. In summary, it was found that Vcl plays a crucial role in mediating semilunar valvulogenesis through TGF-b signaling regulation in CNCCs. CNCCs contributed essentially as a TGF-b signaling hub to EndoMT and VIC activation and differentiation.
DOI: 10.25442/hku.22181938
title: MiR-23a-3p Mediates Sorafenib Resistance in Human Hepatocellular Carcinoma: Study on The Regulatory Mechanisms and Potential Natural Suppressor from Chinese Herbal Medicine

description: Hepatocellular carcinoma (HCC) is the most histotye of liver cancer, which has brought great concern to global health due to the high incidence and mortality. Due to the poor diagnosis of HCC, patients are often diagnosed at late stages and have to adopt systemic therapies for the rest of their lives. Until now, although various agents have been developed since sorafenib first came out, the efficiency of these agents did not get much better improvement. Drug resistance is the main hindrance for HCC patients to benefit from these drugs. Current studies have demonstrated the mechanisms of sorafenib resistance in HCC are involved in drug transporter systems, regulated cell death (RCD), cancer stem-like features, and so on. They can be subject to epigenetic modifications, especially microRNAs (miRNAs). In this study, the identification of deregulated miRNA, miR-23a-3p, was through weighted correlation network analysis (WGCNA) on the miRNA expression profile in a sorafenib-treated patients’ cohort and the correlation analysis on the clinical relevance. The role of miR-23a-3p in facilitating sorafenib resistance in HCC was confirmed by establishing an <em>in vivo</em> generated sorafenib resistant (IV-SR) HCC cell line and conducting loss-of-function (LOF) experiments in orthotopic HCC mouse models. In the mechanism studies, proteomic analysis was performed to figure out the key upstream regulator and the essential downstream signalling. It was found that the ETS Proto-Oncogene 1 (ETS1) was the transcription factor (TF) that directly activated miR-23a-3p transcription upon sorafenib treatment, and ferroptosis was the core downstream signalling suppressed by miR-23a-3p overexpression. Specifically, Acyl-CoA synthetase long chain family member 4 (ACSL4) was proved to be the target of miR-23a-3p, which is responsible for catalysing the polyunsaturated fatty acid-containing phospholipid synthesis, an important prerequisite for ferroptosis activation. Given the clinical significance and the regulatory mechanisms of miR-23a-3p in sorafenib-treated HCC, miR-23a-3p was suggested as a target to enhance sorafenib efficacy in anti-HCC activity. Then a screening approach to look for a miR-23a-3p-targeted Chinese compound was conducted and identified that fangchinoline and HL23 could prevent sorafenib-induced miR-23a-3p transcription. HL23 showed better cytotoxicity on HCC than fangchinoline and showed a synergistic effect with sorafenib. The combination treatment of HL23 and sorafenib in the orthotopic HCC mouse model indicated that HL23 could remarkably enhance sorafenib efficacy. In conclusion, this study demonstrated that miR-23a-3p contributed to sorafenib resistance by targeting ACSL4-mediated ferroptosis in HCC and could be a target by HL23 to enhance the anti-HCC activity of sorafenib.