cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8080268
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Toshio Asaeda, http://www.wikidata.org/entity/Q105585311. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q105585311
DOI: 10.5281/zenodo.8080267
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Toshio Asaeda, http://www.wikidata.org/entity/Q105585311. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q105585311
DOI: 10.6084/m9.figshare.23577075
title: <strong>The Mediating Effect of Interpersonal Mindfulness between Romantic Perfectionism and Experiences in Close Relationships among Married Individuals</strong>

description: The data relates to the paper titled: <strong>The Mediating Effect of Interpersonal Mindfulness between Romantic Perfectionism and Experiences in Close Relationships among Married Individuals</strong>
DOI: 10.25442/hku.23276840
title: <em>Supporting data for</em> "<strong>Examining impacts of road landscapes on drivers’ mental states, driving fatigue, and driving performance: A field experiment in the urban area</strong>".

description: The data were collected from recruited participants who conducted seven driving tasks in seven routes, respectively, with the manner of one-day interval. Their socio-economic and demographic characteristics were also recorded, but we did not reveal any information that may recognize the identity of the participants. The three datasets can be combined through “Code_Input” variable and have some overlaps due to statistical analysis for three chapters. Chapter2_Mental includes data of drivers' mental states before, during and after one-hour driving tasks, perceived environmental characteristics, socio-economic and demographic characteristics and driving behavior. Chapter3_Fatigue includes data of drivers' mean heart rate during one-hour driving tasks, self-reported fatigue before, during and after one-hour driving tasks, environmental factors, and socio-economic and demographic characteristics and driving behavior. Chapter4_Performance includes data of mean of speed, standard deviation of speed, steering holds frequency, and steering reversal rate during one-hour driving tasks, environmental factors, and socio-economic and demographic characteristics and driving behavior.
DOI: 10.25442/hku.23276840.v1
title: <em>Supporting data for</em> "<strong>Examining impacts of road landscapes on drivers’ mental states, driving fatigue, and driving performance: A field experiment in the urban area</strong>".

description: The data were collected from recruited participants who conducted seven driving tasks in seven routes, respectively, with the manner of one-day interval. Their socio-economic and demographic characteristics were also recorded, but we did not reveal any information that may recognize the identity of the participants. The three datasets can be combined through “Code_Input” variable and have some overlaps due to statistical analysis for three chapters. Chapter2_Mental includes data of drivers' mental states before, during and after one-hour driving tasks, perceived environmental characteristics, socio-economic and demographic characteristics and driving behavior. Chapter3_Fatigue includes data of drivers' mean heart rate during one-hour driving tasks, self-reported fatigue before, during and after one-hour driving tasks, environmental factors, and socio-economic and demographic characteristics and driving behavior. Chapter4_Performance includes data of mean of speed, standard deviation of speed, steering holds frequency, and steering reversal rate during one-hour driving tasks, environmental factors, and socio-economic and demographic characteristics and driving behavior.
DOI: 10.6084/m9.figshare.23577072
title: data for JGR Solid Earth

description: data for JGR Solid Earth
DOI: 10.6084/m9.figshare.23577072.v2
title: data for JGR Solid Earth

description: data for JGR Solid Earth
DOI: 10.6084/m9.figshare.23577072.v1
title: <strong>Molecular simulation coupled lattice Boltzmann study on CO2 and CH4 competitive adsorptions in shale organic and clay porous media</strong>

description: data for JGR Solid Earth
DOI: 10.25442/hku.23294444
title: Supporting data for Simulating Spherical and Extreme Accretion Events Around Black Holes

description: Here is all the metadata used in the work presented in the published paper, " The Effects of Gas Angular Momentum on the Formation of Magnetically Arrested Disks and the Launching of Powerful Jets, Kwan T. M., Dai L., Tchekhovskoy A., 2023, the Astrophysical Journal Letters, 946, L42, doi: 10.3847/2041-8213/acc33 ". <br> The raw GRMHD simulation data and the analysis tool are available upon request to the corresponding author.
DOI: 10.25442/hku.23294444.v1
title: Supporting data for Simulating Spherical and Extreme Accretion Events Around Black Holes

description: Here is all the metadata used in the work presented in the published paper, " The Effects of Gas Angular Momentum on the Formation of Magnetically Arrested Disks and the Launching of Powerful Jets, Kwan T. M., Dai L., Tchekhovskoy A., 2023, the Astrophysical Journal Letters, 946, L42, doi: 10.3847/2041-8213/acc33 ". <br> The raw GRMHD simulation data and the analysis tool are available upon request to the corresponding author.
DOI: 10.6084/m9.figshare.23577063
title: Effects of AM fungi and phosphorus heterogeneity on root foraging and competition between native and invasive plants

description: Root foraging associated with arbuscular mycorrhizal fungi (AMF) play an important role in nutrient uptake. While distribution of nutrients can influence the role of AMF, but the interactive effects of nutrient heterogeneity and AMF on root foraging and plant competition are still unclear. Two invasive and two native species of Asteraceae family were selected. We conducted a common garden experiment of three factors (heterogeneity, AMF and competition).
DOI: 10.6084/m9.figshare.23577063.v1
title: Effects of AM fungi and phosphorus heterogeneity on root foraging and competition between native and invasive plants

description: Root foraging associated with arbuscular mycorrhizal fungi (AMF) play an important role in nutrient uptake. While distribution of nutrients can influence the role of AMF, but the interactive effects of nutrient heterogeneity and AMF on root foraging and plant competition are still unclear. Two invasive and two native species of Asteraceae family were selected. We conducted a common garden experiment of three factors (heterogeneity, AMF and competition).
DOI: 10.25442/hku.23282804
title: <em>Supporting data</em> for ADAR1-mediated RNA editing of SCD1 drives drug resistance and self-renewal in gastric cancer

description: Dataset for thesis containing immunoflurescene, western blot and Annexin V PI flow cytometry data. <br> These data were used to support that ADAR1 promotes the abundance of SCD1 to confer chemoresistance to intestinal subtype gastric cancer organoid to be resistant to 5FU+CDDP combination therapy. Immunofluorescene and Western blot was used to show that ADAR1 and SCD1 are indeed higher in the resistant organoids. Western blot was also used to demonstrate that ADAR1 is upregulated by IFN/JAK2/STAT3 signaling. Annexin V PI flow cytometry confirmed that ADAR1 and SCD1 expression level influence the chemoresistance properties of the resistant organoids.
DOI: 10.25442/hku.23282804.v1
title: <em>Supporting data</em> for ADAR1-mediated RNA editing of SCD1 drives drug resistance and self-renewal in gastric cancer

description: Dataset for thesis containing immunoflurescene, western blot and Annexin V PI flow cytometry data. <br> These data were used to support that ADAR1 promotes the abundance of SCD1 to confer chemoresistance to intestinal subtype gastric cancer organoid to be resistant to 5FU+CDDP combination therapy. Immunofluorescene and Western blot was used to show that ADAR1 and SCD1 are indeed higher in the resistant organoids. Western blot was also used to demonstrate that ADAR1 is upregulated by IFN/JAK2/STAT3 signaling. Annexin V PI flow cytometry confirmed that ADAR1 and SCD1 expression level influence the chemoresistance properties of the resistant organoids.
DOI: 10.25919/7h3x-1343
title: AuCo Nanoparticle Data Set

description: This is a set of 156412 gold-cobalt (AuCo) nanoparticle FINAL CONFIGURATIONS, for use in data-driven studies. These structures have been optimised (fully relaxed) using molecular dynamics with an embedded atom (EAM) interatomic potential, at various temperatures. All files are in XYZ format, and the naming convention is defined in the accompanying CSV file that lists all of the structural features and property indicators (see Supporting Attachments). Sizes range from 93 atoms to 4859 atoms, with both crystalline and non-crystalline configurations and regions. Each nanoparticle has been characterised using a variety of topological features, including size, lattice structure, surface curvature, and several order parameters. The final 2 columns are target labels, providing the total energy and the excess formation energy. Links to publications describing these property labels are provided in the meta data. Other features can also be used as labels as desired. Note that the elemental order in the dataset title correspond to structurally distinct sets as documented in the methodology file.
DOI: 10.25442/hku.23294291
title: <em>Supporting data for “</em> <strong>Green Space as Preventive Medicine: Investigating the Relationship between Green Space and Life-threatening Diseases Using Spatial Statistics </strong><em>”</em>

description: This dataset contains the raw and processed data for the thesis that studies the relationship between various types of green space and life-threatening diseases in the US. It includes cardiovascular and respiratory disease incidence data at the tract level (N=69,804), COVID-19 infection and mortality rate data at the county level, green space data, socioeconomic and demographic data, behavioral data, policy and regulation data, health data, and environmental data. These data are derived from diverse sources: Centers for Disease Control and Prevention (CDC), <em>National Land Cover Database</em> (NLCD) 2016, Environmental Systems Research Institute (ERSI) USA Parks, 2020 WorldPop Dataset, US Census Bureau, The National Governors Association, The US Covid Atlas, American Community Survey (ACS), Descartes Labs, USGS National Transportation Dataset (NTD) Airports, United States Environmental Protection Agency (EPA), the U.S. Climate Divisional Database, National Oceanic and Atmospheric Administration (NOAA), and National Center for Health Statistics.
DOI: 10.25442/hku.23294291.v1
title: <em>Supporting data for “</em> <strong>Green Space as Preventive Medicine: Investigating the Relationship between Green Space and Life-threatening Diseases Using Spatial Statistics </strong><em>”</em>

description: This dataset contains the raw and processed data for the thesis that studies the relationship between various types of green space and life-threatening diseases in the US. It includes cardiovascular and respiratory disease incidence data at the tract level (N=69,804), COVID-19 infection and mortality rate data at the county level, green space data, socioeconomic and demographic data, behavioral data, policy and regulation data, health data, and environmental data. These data are derived from diverse sources: Centers for Disease Control and Prevention (CDC), <em>National Land Cover Database</em> (NLCD) 2016, Environmental Systems Research Institute (ERSI) USA Parks, 2020 WorldPop Dataset, US Census Bureau, The National Governors Association, The US Covid Atlas, American Community Survey (ACS), Descartes Labs, USGS National Transportation Dataset (NTD) Airports, United States Environmental Protection Agency (EPA), the U.S. Climate Divisional Database, National Oceanic and Atmospheric Administration (NOAA), and National Center for Health Statistics.
DOI: 10.25442/hku.23293196
title: Supporting data for “Normativity, Power, and Context: A Case Study of a Baháʼí-Inspired School in Macao”

description: This dataset includes data collected as part of a qualitiative case study of the approach to "moral empowerment" taken by a Baháʼí-inpired school in Macao. The research project focused on (1) an emerging approach to normative phenomena based on a foundational ontology and non-foundational epistemology, (2) an expanded conception of power that draws on mutualistic powers reflecting the nobility of the human spirit, and (3) how these constructs found expression in a Chinese educational context. Research methods included document analysis, secondary analysis of existing data (intereviews and surveys of students carried out by the school), and semi-structured interviews of students, teachers, and administrators carried out by the researcher.
DOI: 10.25442/hku.23293196.v1
title: Supporting data for “Normativity, Power, and Context: A Case Study of a Baháʼí-Inspired School in Macao”

description: This dataset includes data collected as part of a qualitiative case study of the approach to "moral empowerment" taken by a Baháʼí-inpired school in Macao. The research project focused on (1) an emerging approach to normative phenomena based on a foundational ontology and non-foundational epistemology, (2) an expanded conception of power that draws on mutualistic powers reflecting the nobility of the human spirit, and (3) how these constructs found expression in a Chinese educational context. Research methods included document analysis, secondary analysis of existing data (intereviews and surveys of students carried out by the school), and semi-structured interviews of students, teachers, and administrators carried out by the researcher.
DOI: 10.25442/hku.23294747
title: <strong>Supporting data for Functional characterization of RelA/SpoT homologue from oral bacteria</strong>

description: Our research focuses on a detailed analysis of the RelA/SpoT (RSH) homologue found in oral bacteria. Our analysis includes the recombinant protein activity, genomic distribution, and its functional correlation with adjacent proteins. These data provide insight into the unique functions of RSH subfamilies that were previously unexplored. These findings present promising opportunities for developing antibiotic drugs targeted at RSH protein in oral pathogenic bacteria.
DOI: 10.25442/hku.23294747.v1
title: <strong>Supporting data for Functional characterization of RelA/SpoT homologue from oral bacteria</strong>

description: Our research focuses on a detailed analysis of the RelA/SpoT (RSH) homologue found in oral bacteria. Our analysis includes the recombinant protein activity, genomic distribution, and its functional correlation with adjacent proteins. These data provide insight into the unique functions of RSH subfamilies that were previously unexplored. These findings present promising opportunities for developing antibiotic drugs targeted at RSH protein in oral pathogenic bacteria.
DOI: 10.25442/hku.23298656
title: Supporting Data for "Cultural Capital and Urban-Rural Educational Inequality in High School Enrollment in China: A Mixed-Methods Study"

description: The folder contains supporting data for a mixed-methods study on urban-rural educational inequality in high school enrollment in China. The quantitative dataset is from the China Family Panel Studies (CFPS) and contains variables measuring the urban-rural divide, family socioeconomic status, cultural capital, and children's high school enrollment results. The qualitative dataset includes interview transcripts with 16 urban and rural parents of children who enrolled in high schools in 2022. The demographic information sheet and interview protocol are also provided.
DOI: 10.25442/hku.23298656.v1
title: Supporting Data for "Cultural Capital and Urban-Rural Educational Inequality in High School Enrollment in China: A Mixed-Methods Study"

description: The folder contains supporting data for a mixed-methods study on urban-rural educational inequality in high school enrollment in China. The quantitative dataset is from the China Family Panel Studies (CFPS) and contains variables measuring the urban-rural divide, family socioeconomic status, cultural capital, and children's high school enrollment results. The qualitative dataset includes interview transcripts with 16 urban and rural parents of children who enrolled in high schools in 2022. The demographic information sheet and interview protocol are also provided.
DOI: 10.25442/hku.23299982
title: Supporting data for “ACTIVITY AND ENANTIOSELECTIVITY CONTROL IN GOLD-CATALYZED LACTONIZATION AND CYCLOADDITIONS”

description: Dataset (Chapter 3) is the supporting data for ''Recyclable PEGylated N-Heterocyclic Carbene-Gold(I) Complex for Cyclizations in Water''. MALDI-TOF Mass, NMR, ESI-MS, TEM, and UV-Vis data are included. <br> Dataset (Chapter 4) is the supporting data for ''Gold-Catalyzed Desymmetric Lactonization of Alkynylmalonic Acids Enabled by Chiral Bifunctional P,N ligands''. NMR, ESI-MS, HPLC data of substrates and products, X-ray data of gold complex, and DFT calculation of intermediates are included. <br> Dataset (Chapter 5) is the supporting data for ''Gold-Catalyzed Highly Enantioselective Cycloadditions of 1,6-Enynes and 1,6-Diynes Assisted by a Single Hydrogen Bond''. NMR, ESI-MS, HPLC data of substrates and products, and DFT calculation of intermediates are included
DOI: 10.25442/hku.23300936
title: Supporting data for "Quality Assurance of Cross-border Construction Logistics and Supply Chain During the COVID-19 Pandemic Era"

description: This dataset supports the original research on quality assurance of cross-border construction logistics and supply chain during the COVID-19 pandemic crises. The data is taken from experts in Hong Kong and Mainland China, who are have knowledge in quality assurance. These include the quality engineers, quality managers, quality assurance engineers, quality control officers, construction managers, and authorised persons representing government. The data consists of the views of the experts on how the quality assurance of cross-border construction logistics and supply chain has been impacted by the COVID-19 pandemic. Based on findings from these dataset, the quality assurance is positioned to be adequate for the post-pandemic, as well as endure the risks of future pandemics.
DOI: 10.25442/hku.23300936.v1
title: Supporting data for "Quality Assurance of Cross-border Construction Logistics and Supply Chain During the COVID-19 Pandemic Era"

description: This dataset supports the original research on quality assurance of cross-border construction logistics and supply chain during the COVID-19 pandemic crises. The data is taken from experts in Hong Kong and Mainland China, who are have knowledge in quality assurance. These include the quality engineers, quality managers, quality assurance engineers, quality control officers, construction managers, and authorised persons representing government. The data consists of the views of the experts on how the quality assurance of cross-border construction logistics and supply chain has been impacted by the COVID-19 pandemic. Based on findings from these dataset, the quality assurance is positioned to be adequate for the post-pandemic, as well as endure the risks of future pandemics.
DOI: 10.6084/m9.figshare.22492546.v4
title: The interactive effects of arbuscular mycorrhizal fungi and nutrient heterogeneity on root foraging traits and competitive ability of native and invasive plants

description: Root foraging associated with arbuscular mycorrhizal fungi (AMF) play an important role in nutrient uptake. While distribution of nutrients can influence the role of AMF, but the interactive effects of nutrient heterogeneity and AMF on root foraging and plant competition are still unclear. Two invasive and two native species of Asteraceae family were selected. We conducted a common garden experiment of three factors (heterogeneity, AMF and competition).
DOI: 10.5281/zenodo.8080318
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Allie Fish Nelson, http://www.wikidata.org/entity/Q109735775. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q109735775
DOI: 10.5281/zenodo.8080317
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Allie Fish Nelson, http://www.wikidata.org/entity/Q109735775. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q109735775
DOI: 10.5281/zenodo.8080320
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Friedrich Hermann Otto Finsch, http://www.wikidata.org/entity/Q60592. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q60592
DOI: 10.5281/zenodo.8080326
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Søren Hassing Finckenhagen, http://www.wikidata.org/entity/Q107970422. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q107970422
DOI: 10.5281/zenodo.8080325
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Søren Hassing Finckenhagen, http://www.wikidata.org/entity/Q107970422. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q107970422
DOI: 10.5281/zenodo.8080330
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Charles Berthold Fiker, http://www.wikidata.org/entity/Q113160743. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q113160743
DOI: 10.5281/zenodo.8080329
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Charles Berthold Fiker, http://www.wikidata.org/entity/Q113160743. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q113160743