cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14969900
title: Pruebas Aprender (2016-2023)

description: El objetivo de las Pruebas Aprender es producir evidencia de carácter diagnóstico para el análisis, la reflexión y la toma de decisiones orientadas a garantizar el derecho a la educación en todos los rincones de nuestro país.

Para esto, releva el el grado de dominio que las y los estudiantes de nivel primario y secundario tienen sobre un recorte específico de contenidos y capacidades cognitivas durante su trayectoria escolar, los factores sociodemográficos y condiciones en que se enseña y se aprende.

Las pruebas son desarrolladas por el Ministerio de Educación, a través de la Secretaría de Evaluación e Información Educativa, en acuerdo con el Consejo Federal de Educación y equipos técnicos jurisdiccionales, y la validación de un equipo de lectores críticos e itemistas especializados en las áreas a evaluar.

Los resultados se difunden a través del Informe de Evaluación de la Educación Primaria en Argentina a nivel nacional y para cada una de las jurisdicciones. También se incluyen en el Sistema Integrado de Consulta de Datos e Indicadores Educativos, en Bases de Datos con ID ficticio y en informes para equipos directivos de cada escuela que comprenden datos del Relevamiento Anual.

Fuente: https://www.argentina.gob.ar/educacion/evaluacion-informacion-educativa/aprender
DOI: 10.6084/m9.figshare.28544777
title: <b>Immersive Interaction for Inclusive Virtual Reality Navigation: Enhancing Accessibility for Socially Underprivileged Users.pdf</b>

description: Immersive Interaction for Inclusive Virtual Reality Navigation: Enhancing Accessibility for Socially Underprivileged Users's Data
DOI: 10.25442/hku.28479446
title: Supporting Data for Applying Engineered CRISPR Tools For Therapeutic Genome Editing

description: This dataset supports a thesis project that explores the development of two complementary CRISPR-based genome editing strategies: precision editing of a pathogenic LMNA variant and high-specificity editing of targets required for manufacturing allogeneic T cells. It features analyzed data documenting CRISPR editing efficiencies and source data from Sanger sequencing and next-generation sequencing. The cell lines studied included HEK293T and primary human T cells. These data, as described and discussed within the thesis, illustrate the potential for optimized prime editing to precisely target and correct pathogenic alleles related to congenital muscular dystrophies, and highlight how the functionally enhanced Opti-SpCas9 variant could be deployed to reduce off-target effects in a therapeutic editing application. Researchers may find these files helpful for further investigations into therapeutic CRISPR applications using base editing, prime editing, and engineered CRISPR nuclease tools.
DOI: 10.25442/hku.28479446.v1
title: Supporting Data for Applying Engineered CRISPR Tools For Therapeutic Genome Editing

description: This dataset supports a thesis project that explores the development of two complementary CRISPR-based genome editing strategies: precision editing of a pathogenic LMNA variant and high-specificity editing of targets required for manufacturing allogeneic T cells. It features analyzed data documenting CRISPR editing efficiencies and source data from Sanger sequencing and next-generation sequencing. The cell lines studied included HEK293T and primary human T cells. These data, as described and discussed within the thesis, illustrate the potential for optimized prime editing to precisely target and correct pathogenic alleles related to congenital muscular dystrophies, and highlight how the functionally enhanced Opti-SpCas9 variant could be deployed to reduce off-target effects in a therapeutic editing application. Researchers may find these files helpful for further investigations into therapeutic CRISPR applications using base editing, prime editing, and engineered CRISPR nuclease tools.
DOI: 10.25442/hku.28467407
title: Supporting data for “Branding Japanese Ramen in Hong Kong”

description: The aim of this research is to explore the relationship between the mode of ownership of a Japanese ramen restaurant and its merchandising of Japanese ramen through menu analysis. Fieldwork observation at various Japanese ramen restaurants has been conducted to analyse the merchandising of Japanese ramen in Hong Kong. The dataset comprises data collected by the author during fieldwork observations at ramen restaurants to analyse their merchandising strategies across different modes of ownership. The dataset includes photographs of the menus and order sheets from these ramen restaurants.
DOI: 10.25442/hku.28467407.v1
title: Supporting data for “Branding Japanese Ramen in Hong Kong”

description: The aim of this research is to explore the relationship between the mode of ownership of a Japanese ramen restaurant and its merchandising of Japanese ramen through menu analysis. Fieldwork observation at various Japanese ramen restaurants has been conducted to analyse the merchandising of Japanese ramen in Hong Kong. The dataset comprises data collected by the author during fieldwork observations at ramen restaurants to analyse their merchandising strategies across different modes of ownership. The dataset includes photographs of the menus and order sheets from these ramen restaurants.
DOI: 10.25442/hku.28463918
title: <i>Supporting data for “</i>Exploring the Biological Functions of Ribosomal Peptides in the Microbiome Community<i>"</i>

description: Microbial secondary metabolites play a crucial role in the intricate interactions within the natural environment. Amongst these metabolites, ribosomally synthesized and post-translationally modified peptides (RiPPs) are becoming a promising source of therapeutic agents due to their structural diversity and functional versatility. However, their biosynthetic capacity and ecological functions remain largely underexplored. The biosynthetic profile of RiPPs and their potential roles in the interactions between microbes and viruses in the ocean were systematically investigated. A diverse array of previously uncharacterized RiPP families with great novelty and diversity were identified. Through correlation analysis based on multi-omics data, a high prevalence of antiphage defense-related and phage-related protein families that co-occurred or co-expressed with RiPP families were observed. Based on this putative association between RiPPs and phage infection, a RiPP-involving host-phage interaction network through host prediction and co-expression analysis were established, revealing complex connectivities linking RiPP-encoding prokaryotes, RiPP families, viral protein families, and phages. These findings highlight the potential of RiPP families involved in prokaryote-phage interactions and coevolution, providing insights into their ecological functions in the ocean microbiome. This dataset contains the constructed RiPP-involving host-phage interaction network in my thesis.
DOI: 10.25442/hku.28463918.v1
title: <i>Supporting data for “</i>Exploring the Biological Functions of Ribosomal Peptides in the Microbiome Community<i>"</i>

description: Microbial secondary metabolites play a crucial role in the intricate interactions within the natural environment. Amongst these metabolites, ribosomally synthesized and post-translationally modified peptides (RiPPs) are becoming a promising source of therapeutic agents due to their structural diversity and functional versatility. However, their biosynthetic capacity and ecological functions remain largely underexplored. The biosynthetic profile of RiPPs and their potential roles in the interactions between microbes and viruses in the ocean were systematically investigated. A diverse array of previously uncharacterized RiPP families with great novelty and diversity were identified. Through correlation analysis based on multi-omics data, a high prevalence of antiphage defense-related and phage-related protein families that co-occurred or co-expressed with RiPP families were observed. Based on this putative association between RiPPs and phage infection, a RiPP-involving host-phage interaction network through host prediction and co-expression analysis were established, revealing complex connectivities linking RiPP-encoding prokaryotes, RiPP families, viral protein families, and phages. These findings highlight the potential of RiPP families involved in prokaryote-phage interactions and coevolution, providing insights into their ecological functions in the ocean microbiome. This dataset contains the constructed RiPP-involving host-phage interaction network in my thesis.
DOI: 10.25442/hku.28458119
title: Supporting data for "Decipher the effects and functions of BCL2A1 in ovarian cancer growth"

description: This dataset about the study focus on BCL2A1 role in ovarian cancer.The dataset includes both raw and processed data from various experiments, including TEM, Cofocal, flow cytometry date, immunofluorescence, immunohistochemistry, immunoblotting, RNA sequencing, mouse model. Each file is organized by assay names and processing data were organized by thesis chapter.Our project aims to comprehensive characterization of the molecular mechanisms and functions of BCL2A1 in both aspects of apoptosis and autophagy. It will significantly advance our understanding of survival, metastasis and therapy outcome in EOC. This study bridges the gap between stress adaptation and therapeutic limitation, offering a novel framework to exploit apoptotic-autophagic crosstalk in cancer therapy.
DOI: 10.25442/hku.28458119.v1
title: Supporting data for "Decipher the effects and functions of BCL2A1 in ovarian cancer growth"

description: This dataset about the study focus on BCL2A1 role in ovarian cancer.The dataset includes both raw and processed data from various experiments, including TEM, Cofocal, flow cytometry date, immunofluorescence, immunohistochemistry, immunoblotting, RNA sequencing, mouse model. Each file is organized by assay names and processing data were organized by thesis chapter.Our project aims to comprehensive characterization of the molecular mechanisms and functions of BCL2A1 in both aspects of apoptosis and autophagy. It will significantly advance our understanding of survival, metastasis and therapy outcome in EOC. This study bridges the gap between stress adaptation and therapeutic limitation, offering a novel framework to exploit apoptotic-autophagic crosstalk in cancer therapy.
DOI: 10.25442/hku.28456465
title: Supporting data for "Spatiotemporal variation in artificial and natural light as drivers of change in subtropical bat communities"

description: Data collected for PhD thesis "Spatiotemporal variation in artificial and natural light as drivers of change in subtropical bat communities".Chapter 2 relates to the classification and identification of bat echolocation calls in Hong Kong, using Gaussian Mixture Models and Random Forest. Data includes parameters related to bat echolocation call structure. Also included is R code explaining the process and methodology.Chapter 3 looks at the diel pattern of bat activity around streetlights compared to unlit locations, to investigate whether streetlights affect the timing of activity and the degree of direct temporal competition between species, and to evaluate the extent to which this might be affected by background light from natural (twilight) and artificial (skyglow) sources. Data included are details of the calls extracted from the recordings and identification of bats based on these calls, as well as details about the recording locations.Chapter 4 compiles Species Distribution Models of bats based on transect surveys and environmental data (light, vegetation, water, habitat and climate) to assess the extent to which artificial light restricts the landscape-scale distribution of bats. Data included here are the calls and identification of bats recorded, and the transect routes followed during data collection.
DOI: 10.25442/hku.28456465.v1
title: Supporting data for "Spatiotemporal variation in artificial and natural light as drivers of change in subtropical bat communities"

description: Data collected for PhD thesis "Spatiotemporal variation in artificial and natural light as drivers of change in subtropical bat communities".Chapter 2 relates to the classification and identification of bat echolocation calls in Hong Kong, using Gaussian Mixture Models and Random Forest. Data includes parameters related to bat echolocation call structure. Also included is R code explaining the process and methodology.Chapter 3 looks at the diel pattern of bat activity around streetlights compared to unlit locations, to investigate whether streetlights affect the timing of activity and the degree of direct temporal competition between species, and to evaluate the extent to which this might be affected by background light from natural (twilight) and artificial (skyglow) sources. Data included are details of the calls extracted from the recordings and identification of bats based on these calls, as well as details about the recording locations.Chapter 4 compiles Species Distribution Models of bats based on transect surveys and environmental data (light, vegetation, water, habitat and climate) to assess the extent to which artificial light restricts the landscape-scale distribution of bats. Data included here are the calls and identification of bats recorded, and the transect routes followed during data collection.
DOI: 10.15468/dl.ybghw4
title: Occurrence Download

description: A dataset containing 107006371 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is iNaturalist Research-grade Observations"
 ]
}

 The dataset includes 107006371 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006624-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25442/hku.28443422
title: Supporting data for PhD Thesis "Evaluating public health measures and transmission dynamics for SARS-CoV-2 and other respiratory viruses"

description: Supporting files and datasets brief description. <br><br>Submitted by Benjamin R. Young for the degree of Doctor of Philosophy at The University of Hong Kong in February 2025<br>These files supports the research presented in chapters 4 through 8 of the PhD thesis, which evaluates the effects of specific public health interventions in Hong Kong. Using COVID-19 line lists and publicly available mass testing mandates, the research analyses the frequency of residential clusters and building-wide compulsory testing. It examines the role of severe disease data in estimating SARS-CoV-2 transmission dynamics and calibrates a compartmental model to simulate a large Omicron epidemic in Hong Kong. The calibrated model is used to conduct counterfactual simulations assessing the impact of vaccinations and prolonged school closures during the epidemic. Additionally, scenario simulations evaluate the impact of annual school holidays and pandemic-era NPIs on the transmission of seasonal endemic respiratory viruses.<br>This dataset is intended for researchers in epidemiology and public health. It includes <code>.rds</code> files corresponding to specific figures, such as vaccination coverage (e.g., <code>Fig2_vacrates.rds</code>), vaccine effectiveness (<code>Fig4_samp_VE_ests.rds</code>), and NPI impacts (<code>Fig6_IntCombDiff.rds</code>). Files like <code>Fig7_NPI_shrt_ageAR.rds</code> explore age-specific attack rates and long-term prevalence trends. While some datasets are omitted due to data-sharing restrictions, a detailed data dictionary is provided. All datasets are modified to be anonymised, and only presented as aggregate data counts where applicable. The data is reproducible with the accompanying R scripts.
DOI: 10.25442/hku.28443422.v1
title: Supporting data for PhD Thesis "Evaluating public health measures and transmission dynamics for SARS-CoV-2 and other respiratory viruses"

description: Supporting files and datasets brief description. <br><br>Submitted by Benjamin R. Young for the degree of Doctor of Philosophy at The University of Hong Kong in February 2025<br>These files supports the research presented in chapters 4 through 8 of the PhD thesis, which evaluates the effects of specific public health interventions in Hong Kong. Using COVID-19 line lists and publicly available mass testing mandates, the research analyses the frequency of residential clusters and building-wide compulsory testing. It examines the role of severe disease data in estimating SARS-CoV-2 transmission dynamics and calibrates a compartmental model to simulate a large Omicron epidemic in Hong Kong. The calibrated model is used to conduct counterfactual simulations assessing the impact of vaccinations and prolonged school closures during the epidemic. Additionally, scenario simulations evaluate the impact of annual school holidays and pandemic-era NPIs on the transmission of seasonal endemic respiratory viruses.<br>This dataset is intended for researchers in epidemiology and public health. It includes <code>.rds</code> files corresponding to specific figures, such as vaccination coverage (e.g., <code>Fig2_vacrates.rds</code>), vaccine effectiveness (<code>Fig4_samp_VE_ests.rds</code>), and NPI impacts (<code>Fig6_IntCombDiff.rds</code>). Files like <code>Fig7_NPI_shrt_ageAR.rds</code> explore age-specific attack rates and long-term prevalence trends. While some datasets are omitted due to data-sharing restrictions, a detailed data dictionary is provided. All datasets are modified to be anonymised, and only presented as aggregate data counts where applicable. The data is reproducible with the accompanying R scripts.
DOI: 10.25442/hku.28434779
title: Supporting data for “DJ-1 Binding Compound Reduces Sensorimotor Functional Deficits by Suppressing Ferroptotic Neuronal Death after Experimental Intracerebral Haemorrhage”

description: This study investigated the roles of DJ-1 and DJ-1 oxidation in modulating neuronal ferroptosis after intracerebral haemorrhage (ICH) and highlighted the effects of DJ-1 binding compound on reducing neurofunctional deficits and the extent of ferroptotic neuronal death after ICH. The dataset contains supporting data for each result chapter. All <i>in vivo </i>data were derived from the experimental mouse model of intracerebral haemorrhage induced by intra-striatal collagenase injection. All <i>in vitro </i>data were obtained from the<i> </i>ICH<i> </i>neuronal model induced by hemin exposure. The data files include images of brain coronal slices, protein immunoblotting, Luxol fast blue staining, Nissl staining, immunofluorescence staining, and transmission electron microscopy. Their relevant quantification and data analysis are also included. Additionally, files include data analysis about RT-qPCR, behavioural tests, brain water content, haemoglobin assay, MTT assay, MDA assay, GPx4 activity assay and biothiol assays. All image files are in .jpg format, and all data analysis files are in .xlsx format.
DOI: 10.25442/hku.28434779.v1
title: Supporting data for “DJ-1 Binding Compound Reduces Sensorimotor Functional Deficits by Suppressing Ferroptotic Neuronal Death after Experimental Intracerebral Haemorrhage”

description: This study investigated the roles of DJ-1 and DJ-1 oxidation in modulating neuronal ferroptosis after intracerebral haemorrhage (ICH) and highlighted the effects of DJ-1 binding compound on reducing neurofunctional deficits and the extent of ferroptotic neuronal death after ICH. The dataset contains supporting data for each result chapter. All <i>in vivo </i>data were derived from the experimental mouse model of intracerebral haemorrhage induced by intra-striatal collagenase injection. All <i>in vitro </i>data were obtained from the<i> </i>ICH<i> </i>neuronal model induced by hemin exposure. The data files include images of brain coronal slices, protein immunoblotting, Luxol fast blue staining, Nissl staining, immunofluorescence staining, and transmission electron microscopy. Their relevant quantification and data analysis are also included. Additionally, files include data analysis about RT-qPCR, behavioural tests, brain water content, haemoglobin assay, MTT assay, MDA assay, GPx4 activity assay and biothiol assays. All image files are in .jpg format, and all data analysis files are in .xlsx format.
DOI: 10.25442/hku.28425086
title: Supporting data for “Parents’ Unsociable Work Schedules and Children’s Well-Being: A Mixed Methods Study of Dual-Earner Households in Mainland China”

description: This dataset contains interview data for a phenomenological study as part of the doctoral thesis “Parents’ Unsociable Work Schedules and Children’s Well-Being: A Mixed Methods Study of Dual-Earner Households in Mainland China.” The study aims to explore the lived experiences of children living in Chinese dual-earner households where parents are exposed to unsociable work schedules, defined as work scheduling practices that are not conducive to direct ad stable parental involvement, such as long work hours, night shifts, weekend work, inflexible scheduling, and on-call duties. Fifteen children from dual-earner households in mainland China were recruited to participate in semi-structured interviews. The interviews were conducted remotely via <i>WeCha</i><i>t</i> video calls in December 2023, with all participants joining from their homes. Each interview lasted between 35 and 60 minutes and was conducted in Mandarin Chinese. The sessions were audio-recorded and subsequently transcribed verbatim. To ensure the privacy and confidentiality of participants, all data were anonymized, removing any identifying information about the individuals included in the dataset. The data files comprise fifteen verbatim transcripts of the interview data.
DOI: 10.15468/dl.uer7a7
title: Occurrence Download

description: A dataset containing 23491354 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "Year 2000-2025"
 ]
}

 The dataset includes 23491354 records from 1821 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006615-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/cc116gj7
title: CCDC 959528: Experimental Crystal Structure Determination

description: Related Article: Alice K. Hui, Richard L. Lord, Kenneth G. Caulton|2014|Dalton Trans.|43|7958|doi:10.1039/C3DT52490F
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc1274jz
title: CCDC 989970: Experimental Crystal Structure Determination

description: Related Article: Santosh K. Gurung ,  Surendra Thapa ,  Arjun Kafle ,  Diane A. Dickie ,  and Ramesh Giri|2014|Org.Lett.|16|1264|doi:10.1021/ol500310u
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc12751j
title: CCDC 989986: Experimental Crystal Structure Determination

description: Related Article: Kit May Chow, Kong Mun Lo|2014|Polyhedron|81|370|doi:10.1016/j.poly.2014.06.043
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.