cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25442/hku.26061643.v1
title: Supporting data for “Monitoring and understanding fine-scale phenological variability in temperate forests”

description: For my PhD thesis, I have utilized a range of data from various sources.1). I utilized time-series PlanetScope data with a 3 m spatial resolution from the Planet Labs Inc. to generate phenological maps for six temperate forest sites within the National Ecological Observatory Network (NEON). The derived phenological maps can be used to monitor plant phenology at fine scales.2). I used ground records of plant phenology for six temperate forest sites to validate PlanetScope-derived phenological metrics. These data are publicly available in the data repository of NEON. Detailed phenophase status and intensity are recorded for a number of individual trees, which can be used to derive the timing of key phenological events.3). Maps of seven foliar traits and five structural traits for four NEON temperate forest sites were also used. Foliar traits include leaf mass per area (LMA), carbon content, nitrogen content, area-based chlorophyll concentration, phenolics concentration, starch concentration, and ẟ<sup>13</sup>C. Structural traits include canopy height, plant area index (PAI), height skew, entropy, and rugosity. These traits are derived from remote sensing data, provide detailed characterizations of plant attributes.4). I utilized time-series satellite imagery from harmonized Landsat and Sentinel-2 data to generate maps of interannual phenological variability for four NEON temperate forests sites. The derived maps offer a visualization of the patterns of interannual phenological variability at the site level. By integrating these maps with functional trait data, further investigations can be conducted to explore the underlying biotic drivers of the variability.Overall, the combination of these data provided a comprehensive dataset for my thesis, allowing for a thorough investigation of the patterns of phenological variability and its underlying drivers. <br>
DOI: 10.17632/2y4m97b7dc.2
title: Moroccan Darija Offensive Language Detection Dataset

description: The Moroccan Darija offensive language detection dataset is a human-labeled dataset consisting of a set of Moroccan Darija sentences for offensive language detection. The dataset contains 20,402 sentences and their corresponding binary labels: 0 for a non-offensive sentence and 1 for an offensive sentence. The sentences were gathered from Twitter and YouTube comments and are written in both Latin and Arabic scripts. Inoffensive sentences account for 62.2% (12,685 sentences), while offensive sentences account for 37.8% (7,717 sentences). This contribution addresses the scarcity of labeled datasets for Moroccan Darija and provides a resource for natural language processing researchers interested in Moroccan Darija, particularly offensive language and sentiment analysis tasks. Note: It is important to note that this dataset contains profanity and offensive sentences. Users are advised to exercise caution when exploring the dataset, especially in educational or sensitive contexts. We recommend that researchers and users consider the potential presence of offensive language when using this resource for natural language processing tasks, particularly for offensive language and sentiment analysis. Please be aware of the dataset's content before accessing it.
DOI: 10.17632/2y4m97b7dc.3
title: Moroccan Darija Offensive Language Detection Dataset

description: The Moroccan Darija offensive language detection dataset is a human-labeled dataset consisting of a set of Moroccan Darija sentences for offensive language detection. The dataset contains 20,402 sentences and their corresponding binary labels: 0 for a non-offensive sentence and 1 for an offensive sentence. The sentences were gathered from Twitter and YouTube comments and are written in both Latin and Arabic scripts. Inoffensive sentences account for 62.2% (12,685 sentences), while offensive sentences account for 37.8% (7,717 sentences). This contribution addresses the scarcity of labeled datasets for Moroccan Darija and provides a resource for natural language processing researchers interested in Moroccan Darija, particularly offensive language and sentiment analysis tasks.

Note: It is important to note that this dataset contains profanity and offensive sentences. Users are advised to exercise caution when exploring the dataset, especially in educational or sensitive contexts. We recommend that all researchers and users consider the potential presence of offensive language when using this resource for natural language processing tasks, particularly for offensive language and sentiment analysis. Please be aware of the dataset's content before accessing it.
DOI: 10.6084/m9.figshare.26212859
title: NTCP in Rectal Cancer

description: Supplymentary material for NTCP in Rectal Cancer (figure and table)
DOI: 10.6084/m9.figshare.26212859.v1
title: NTCP in Rectal Cancer

description: Supplymentary material for NTCP in Rectal Cancer (figure and table)
DOI: 10.5281/zenodo.12697420
title: DAVI: A Dataset for Automatic Variant Interpretation

description: The analysis of an individual’s genetic material may uncover genetic variants, which can be classified as disease-causing (pathogenic) or benign. Identifying pathogenic variants among millions of variants relies on the research of evidence in support of or against variant pathogenicity, a process regulated by the American College of Molecular Genetics (ACMG) guidelines, which leverages data from the scientific literature. Despite recent improvements towards automation, searching shreds of evidence for pathogenicity in the literature still requires manual curation, a time-consuming process, due to the ever-growing number of published papers. 

In this work, we built DAVI (Dataset for Automatic Variant Interpretation), a reliable, manually curated dataset comprising 1239 sentences extracted from 311 (variant, article) associations for a pool of 41 variants. 597 sentences contain (positive) evidence activating two opposing ACGM criteria, namely PS3 and BS3, while the remaining 642 do not contain (negative) evidence activating either of the two considered ACGM criteria.  (variant, article) associations containing at least one positive sentence are classified as positive, while (variant, article) associations containing any positive sentence are negative. Therefore DAVI also contains 154 positive and 157 negative (variant, article) associations.
DOI: 10.5281/zenodo.12697421
title: DAVI: A Dataset for Automatic Variant Interpretation

description: The analysis of an individual’s genetic material may uncover genetic variants, which can be classified as disease-causing (pathogenic) or benign. Identifying pathogenic variants among millions of variants relies on the research of evidence in support of or against variant pathogenicity, a process regulated by the American College of Molecular Genetics (ACMG) guidelines, which leverages data from the scientific literature. Despite recent improvements towards automation, searching shreds of evidence for pathogenicity in the literature still requires manual curation, a time-consuming process, due to the ever-growing number of published papers. 

In this work, we built DAVI (Dataset for Automatic Variant Interpretation), a reliable, manually curated dataset comprising 1239 sentences extracted from 311 (variant, article) associations for a pool of 41 variants. 597 sentences contain (positive) evidence activating two opposing ACGM criteria, namely PS3 and BS3, while the remaining 642 do not contain (negative) evidence activating either of the two considered ACGM criteria.  (variant, article) associations containing at least one positive sentence are classified as positive, while (variant, article) associations containing any positive sentence are negative. Therefore DAVI also contains 154 positive and 157 negative (variant, article) associations.
DOI: 10.15124/332d2666-b3b0-4858-bef8-e269e5e64209
title: NMR Data for Trapping Highly Reactive Metal(H)2(η2-H2) species to form Trihydride Complexes and Clusters

description: Supporting multinuclear NMR data
DOI: 10.25442/hku.26055766
title: Supporting data for ''STRONGLY LUMINESCENT TETRADENTATE AND DINUCLEAR PLATINUM(II) COMPLEXES: SYNTHESES, PHOTOPHYSICS AND OLED APPLICATIONS''

description: Cyclometalated platinum(II) complexes with appropriate ligand design and molecular structure have shown intriguing luminescent properties and they hold great potential as phosphorescent emitters for practical OLED applications. Herein, two series of tetradentate Pt(II) complexes supported by C^N*N^C and C^C*C^C ligands and a series of dinuclear Pt(II) complexes bridged by hydroxypyridyl ligands are synthesized. These complexes exhibit desirable photophysical properties and high thermal stability. These complexes have been applied as emissive dopants in organic light-emitting diodes (OLEDs) to evaluate their electroluminescent properties. This dataset contains the experimental spectra of the complexes studied in the project to support the characterization. The photophysical properties including abosorption and emission spectra, as well as time-resolved spectra are involved.
DOI: 10.25442/hku.26055766.v1
title: Supporting data for ''STRONGLY LUMINESCENT TETRADENTATE AND DINUCLEAR PLATINUM(II) COMPLEXES: SYNTHESES, PHOTOPHYSICS AND OLED APPLICATIONS''

description: Cyclometalated platinum(II) complexes with appropriate ligand design and molecular structure have shown intriguing luminescent properties and they hold great potential as phosphorescent emitters for practical OLED applications. Herein, two series of tetradentate Pt(II) complexes supported by C^N*N^C and C^C*C^C ligands and a series of dinuclear Pt(II) complexes bridged by hydroxypyridyl ligands are synthesized. These complexes exhibit desirable photophysical properties and high thermal stability. These complexes have been applied as emissive dopants in organic light-emitting diodes (OLEDs) to evaluate their electroluminescent properties. This dataset contains the experimental spectra of the complexes studied in the project to support the characterization. The photophysical properties including abosorption and emission spectra, as well as time-resolved spectra are involved.
DOI: 10.17632/bsry3kx464.1
title: The activities of legal networks under the system of free legal aid and within the volunteer initiatives related to the legal services in the period of martial law enforcement in Ukraine

description: The focus of this study concerns the activities of legal networks under the system of free legal aid and within the volunteer initiatives related to the legal services in the period of martial law enforcement in Ukraine. The article outlines the legislative framework of the free legal aid system, identifies the areas and nature of the activities undertaken by legal networks, namely by the Coordination Centres for Free Legal Aid, the Association of Legal Clinics of Ukraine and the Legal Development Network. The study analyses the scope and types of free legal aid provided between 2022 and 2023 comparatively to the recent pre-war period. The dynamics in the scope of free legal services provided by the legal networks with reference to emerging issues and prospects for their further development are assessed. Additionally, the study addresses the particularities of volunteer initiatives related to the legal services along with their impact on promoting legal awareness among the civil population of Ukraine. This article represents an integral contribution to efforts aimed at understanding the role of legal networks in the period of martial law enforcement and how they are relevant to guaranteeing public access to justice and the protection of human rights in Ukraine.
DOI: 10.17632/nd3prz76jr.1
title: Student Survey data

description: This data is collected based on Student Satisfaction Survey
DOI: 10.5281/zenodo.12568040
title: EditQL: A Textual Query Language for Evolving Models (Reproducibility Package)
DOI: 10.17632/42z45t52xx.1
title: Research Dataset of AI Implementation on Somethinc Digital Marketing

description: Research Dataset of AI Implementation on Somethinc Digital Marketing. The dataset contains demographics of responden, report of PLS Bootstrapping and PLS Algorithm in excel and image.
DOI: 10.15468/dl.m829c5
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "GadmGid is CHN.19_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pseudognaphalium hypoleucum (DC.) Hilliard & B.L.Burtt"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017770-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25442/hku.26049007
title: Supporting Data for "A Mixed-Methods Study on Depression Self-Stigma Among Young Chinese People with Parental Depression"

description: The dataset comprises survey data and meta-analysis data supporting the Ph.D thesis entitled "A Mixed-Methods Study on Depression Self-Stigma Among Young Chinese People with Parental Depression". Major depressive disorder remains one of the most prevalent mental disorders both worldwide and in China, profoundly affecting patients’ health and mental well-being. Self-stigma, which entails feelings of shame and endorsement of negative societal stereotypes on depression, hinders help-seeking behaviors and affects recovery and quality of life. A considerable proportion of individuals with depression report a family history, with parental depression being particularly influential. The role of parent is critical in shaping offspring’s psychological development and their subsequent social adaptation and mental health into adulthood. To our knowledge, there are limited research concerning the impact of parental depression on offspring’s stigma internalization. This study aims to 1) summarize and synthesize the grobal evidence on depression self-stigma; 2) to examine whether a parental depression is associated with offspring’s self-stigma; 3) to explore familial factors associated with self-stigma among people growing up with parental depression; and 4) to construct and validate an explanatory model of depression self-stigma in a Chinese context.
DOI: 10.25442/hku.26049007.v1
title: Supporting Data for "A Mixed-Methods Study on Depression Self-Stigma Among Young Chinese People with Parental Depression"

description: The dataset comprises survey data and meta-analysis data supporting the Ph.D thesis entitled "A Mixed-Methods Study on Depression Self-Stigma Among Young Chinese People with Parental Depression". Major depressive disorder remains one of the most prevalent mental disorders both worldwide and in China, profoundly affecting patients’ health and mental well-being. Self-stigma, which entails feelings of shame and endorsement of negative societal stereotypes on depression, hinders help-seeking behaviors and affects recovery and quality of life. A considerable proportion of individuals with depression report a family history, with parental depression being particularly influential. The role of parent is critical in shaping offspring’s psychological development and their subsequent social adaptation and mental health into adulthood. To our knowledge, there are limited research concerning the impact of parental depression on offspring’s stigma internalization. This study aims to 1) summarize and synthesize the grobal evidence on depression self-stigma; 2) to examine whether a parental depression is associated with offspring’s self-stigma; 3) to explore familial factors associated with self-stigma among people growing up with parental depression; and 4) to construct and validate an explanatory model of depression self-stigma in a Chinese context.
DOI: 10.17632/5hb4dxb332.1
title: Data for "Selection of Shallow Crustal Earthquake Ground Motion Models for the West Nusa Tenggara Region, Indonesia"

description: location and magnitude of considered earthquake in "Selection of Shallow Crustal Earthquake Ground Motion Models for the West Nusa Tenggara Region, Indonesia"
DOI: 10.15468/dl.mrdvwd
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.29.7_1",
 "TaxonKey is Gyps himalayensis Hume, 1869",
 "Year 1000-2024"
 ]
}

 The dataset includes 55 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017771-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25442/hku.26046331
title: <b><i>Supporting data for </i></b>"Village Collectives in Peri-Urban China: Governance of Urbanising Communities in Lugouqiao Township, Beijing"

description: The development of political, economic, and social spaces in China’s peri-urban areas appears to be lagging behind their physical and geographical transformation under a rapid pace of urbanisation. Some traditional rural community structures and institutions seem to remain intact, functional, and influential in many Chinese cities. This phenomenon stands in contrast to the literature, which suggests that the rural community and organisations will dissolve and a new governance relationship between the state, the market, and the community will emerge under urbanisation and especially neoliberalism. Theoretical discourses about neoliberalism in the western cities appear inadequate to explain the changes in China. Previous empirical studies on peri-urban China focused mainly on the southern coastal areas, which tend to have a solid clan-based rural society. They may not explain the existence and functions of village collectives in northern Chinese cities where village clans are generally weaker and the local governments are more assertive.If urbanisation in Beijing is mainly driven by a strong authoritarian state, why does it still allow village collectives to remain functional and strong? This research examines the grassroots governance of villages in Lugouqiao Township, Beijing, and investigates its transformation under a powerful state within the historical and institutional local context. Through archival studies, field research and in-depth interviews, this study explores the role, position, and functions of village collectives in community governance from a micro-historical perspective. By examining the changing role of village collectives and its diverse relationship with the local state, the market, and the community in the transitional processes of shareholding cooperative reforms, urbanising community governance and spatial development, this study argues that the retention of village collectives relates to the flexible tactics deliberately designed by the state, through which state building could be maintained at the village level while, at the same time, a certain degree of local neoliberal practices could be achieved at the community level. This study will shed light on the dynamism of urbanisation in peri-urban China and contribute to the empirical understanding of and theoretical development about China’s unique urbanisation in the aspect of community governance.
DOI: 10.17632/7wx89s4fym.1
title: Research Data for "Neural networks for prediction of swelling in austenitic steels irradiated by fast neutrons"

description: Complete dataset and final neural network model. See Keras 2.15.1 documentation for the model loading and usage.
DOI: 10.25442/hku.26046331.v1
title: <b><i>Supporting data for </i></b>"Village Collectives in Peri-Urban China: Governance of Urbanising Communities in Lugouqiao Township, Beijing"

description: The development of political, economic, and social spaces in China’s peri-urban areas appears to be lagging behind their physical and geographical transformation under a rapid pace of urbanisation. Some traditional rural community structures and institutions seem to remain intact, functional, and influential in many Chinese cities. This phenomenon stands in contrast to the literature, which suggests that the rural community and organisations will dissolve and a new governance relationship between the state, the market, and the community will emerge under urbanisation and especially neoliberalism. Theoretical discourses about neoliberalism in the western cities appear inadequate to explain the changes in China. Previous empirical studies on peri-urban China focused mainly on the southern coastal areas, which tend to have a solid clan-based rural society. They may not explain the existence and functions of village collectives in northern Chinese cities where village clans are generally weaker and the local governments are more assertive.If urbanisation in Beijing is mainly driven by a strong authoritarian state, why does it still allow village collectives to remain functional and strong? This research examines the grassroots governance of villages in Lugouqiao Township, Beijing, and investigates its transformation under a powerful state within the historical and institutional local context. Through archival studies, field research and in-depth interviews, this study explores the role, position, and functions of village collectives in community governance from a micro-historical perspective. By examining the changing role of village collectives and its diverse relationship with the local state, the market, and the community in the transitional processes of shareholding cooperative reforms, urbanising community governance and spatial development, this study argues that the retention of village collectives relates to the flexible tactics deliberately designed by the state, through which state building could be maintained at the village level while, at the same time, a certain degree of local neoliberal practices could be achieved at the community level. This study will shed light on the dynamism of urbanisation in peri-urban China and contribute to the empirical understanding of and theoretical development about China’s unique urbanisation in the aspect of community governance.
DOI: 10.25442/hku.26045773
title: Supporting Data for Thesis entitled “Roles of Mobile Genetic Elements (MGEs) in the Dissemination of Antibiotic Resistance Genes (ARGs) among Environmental Microbiomes”

description: This is supporting data for thesis entitled “Roles of Mobile Genetic Elements (MGEs) in the Dissemination of Antibiotic Resistance Genes (ARGs) among Environmental Microbiomes”, where a total collection of 16,364 bacterial complete genomes covering 48 phyla were downloaded from the NCBI genome database. In detail, the metadata of these bacterial genomes contain assembly accession number, taxonomic lineage, as well as potential pathogenicity.
DOI: 10.25442/hku.26045773.v1
title: Supporting Data for Thesis entitled “Roles of Mobile Genetic Elements (MGEs) in the Dissemination of Antibiotic Resistance Genes (ARGs) among Environmental Microbiomes”

description: This is supporting data for thesis entitled “Roles of Mobile Genetic Elements (MGEs) in the Dissemination of Antibiotic Resistance Genes (ARGs) among Environmental Microbiomes”, where a total collection of 16,364 bacterial complete genomes covering 48 phyla were downloaded from the NCBI genome database. In detail, the metadata of these bacterial genomes contain assembly accession number, taxonomic lineage, as well as potential pathogenicity.