cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5255/ukda-sn-855460
title: Wired into Each Other: Network Dynamics of Adolescents in Hungarian Secondary Schools: 2010-2013

description: The project “Wired into each other” is a three-year longitudinal social network study conducted by the Research Center for Educational and Network Studies (RECENS) of Corvinus University of Budapest and the Hungarian Academy of Sciences. The study involved the collection of a unique, large-scale survey dataset about the evolution of interpersonal relations and various individual behaviours and attitudes in more than 40 student communities from Hungary between 2010 and 2013. The project aimed at a) developing novel measures of informal social networks among students and b) gaining new insight into the social processes shaping adolescent communities. In scope of this, the RECENS team developed a multi-item network questionnaire about peer relations in more than 30 different aspects, including contact, affection, behavioural perceptions, role and status attributions, and bullying. Using this measurement tool, the team collected data of unprecedented depth about the multidimensional nature of social processes in school communities. The dataset allows researchers to study the social mechanisms behind status competition, group formation, ethnic integration (with focus on the Roma minority group), bullying and victimization, school performance, substance use, and other phenomena.
DOI: 10.18112/openneuro.ds004248.v1.0.5
title: AMSI-DatasetB
DOI: 10.5255/ukda-sn-855738
title: The Impact of Professional Midwives and Mentoring on the Quality and Availability of Maternity Care in Rural Government Hospitals in Bangladesh, 2018-2019

description: Background: This study examined whether the introduction of professional midwives with and without facility mentorship improved care quality and availability in sub-district hospitals in Bangladesh. It also analysed the experiences of non-midwife maternity care providers and managers. Methods: Using mixed-methods, differences between hospitals without midwives, with midwives, and with mentorship were explored. Quantitative analysis comprised observations of facility readiness and clinical care to assess implementation of World Health Organization maternity care guidelines. Participants also completed a survey on their knowledge, perceptions, and utilization of the guidelines. Focus groups and interviews explored midwives’ experiences of their roles, and the experiences of the maternity staff and managers in relation to the midwives and the improved care practices they introduced. Logistic regression was used to identify differences between hospital types following the deployment of midwives and also mentoring. Results: There were 641 clinical observations, 237 completed surveys, 18 interviews and five focus groups. The analysis found facilities without midwives to be the least likely to implement quality care practices, and those with midwives and facility mentoring to be the most likely. Of the eight quality practices, hospitals with midwives but no mentors were significantly more likely than hospitals without midwives to use four: partograph (56% vs. 14%; p&lt;0.001), upright labour (94% vs. 63%; p=0.001), delayed cord clamping (88% vs. 11%; p&lt;0.001), skin-to-skin (94% vs. 13%; p&lt;0.001). Hospitals with mentors were significantly more likely to use six: ANC card (84% vs. 52%; p&lt;0.001), partograph (97% vs. 14%; p&lt;0.001), upright positioning for labour (95% vs. 63%; p=0.001), delayed cord clamping (98% vs. 11%; p&lt;0.001), skin-to-skin contact following birth (93% vs. 13%; p&lt;0.001), and upright positioning for birthing (86% vs. 26%; p&lt;0.001). In addition, attitudes among the other maternity staff and managers toward midwives’ capabilities and improving quality of care were found to be more positive with mentoring. Conclusion: Facilities with professional midwives had better availability and quality of maternity care across multiple components of the health system. Care quality further improved with facility mentors who created enabling environments, provided training, and facilitated supportive relationships between existing maternity staff and managers and the newly deployed midwives.
DOI: 10.5281/zenodo.6098797
title: Metadata and metadata semantics

description: The dataset has a study of international scientific panorama on term "semantic metadata" using bibliometric indicators and the positioning of Information Science in relation to this topic. Bibliographic research was used for the theoretical construction of the subject and as a method, bibliometric studies, in order to identify scientific production indicators on semantic metadata and their conceptual basis, as a way of showing how this theme is seen in the international scenario.
DOI: 10.5281/zenodo.6098798
title: Metadata and metadata semantics

description: The dataset has a study of international scientific panorama on term "semantic metadata" using bibliometric indicators and the positioning of Information Science in relation to this topic. Bibliographic research was used for the theoretical construction of the subject and as a method, bibliometric studies, in order to identify scientific production indicators on semantic metadata and their conceptual basis, as a way of showing how this theme is seen in the international scenario.
DOI: 10.5281/zenodo.4764367
title: OWL2Bench dataset

description: <strong>This is the Semantic Reasoning Evaluation Challenge (SemREC) Dataset. The details of the challenge are available at https://semrec.github.io/. </strong> <strong>These ontologies have been generated using OWL2Bench [1]. All the files are in RDF/XML format. The files are intended purely for use in reasoner benchmarking activities. The open-access extends only to this purpose. </strong> <strong>If required, users can generate more ontologies using OWL2Bench. Users can find the details about the benchmark and its usage in the following GitHub repository - https://github.com/kracr/owl2bench.</strong> <br> <strong>[1] Singh G., Bhatia S., Mutharaju R., OWL2Bench: A Benchmark for OWL 2 Reasoners. ISWC 2020. Lecture Notes in Computer Science, vol 12507. Springer, Cham. https://doi.org/10.1007/978-3-030-62466-8_6 </strong>
DOI: 10.5281/zenodo.4764368
title: OWL2Bench dataset

description: <strong>This is the Semantic Reasoning Evaluation Challenge (SemREC) Dataset. The details of the challenge are available at https://semrec.github.io/. </strong> <strong>These ontologies have been generated using OWL2Bench [1]. All the files are in RDF/XML format. The files are intended purely for use in reasoner benchmarking activities. The open-access extends only to this purpose. </strong> <strong>If required, users can generate more ontologies using OWL2Bench. Users can find the details about the benchmark and its usage in the following GitHub repository - https://github.com/kracr/owl2bench.</strong> <br> <strong>[1] Singh G., Bhatia S., Mutharaju R., OWL2Bench: A Benchmark for OWL 2 Reasoners. ISWC 2020. Lecture Notes in Computer Science, vol 12507. Springer, Cham. https://doi.org/10.1007/978-3-030-62466-8_6 </strong>
DOI: 10.5281/zenodo.4695280
title: Business Event Exchange Ontology

description: Recent developments in data analysis and machine learning support novel data-driven operations. Event data provide social and environmental context, thus, such data become very important to be integrated into the workflow of data analytic pipelines. We introduce our Business Event Exchange Ontology (BEEO), based on Schema.org that enables data integration and analytics for event data. <br> BEEO is available under Apache 2.0 license on GitHub and is seeing adoption among both its creator companies and other product and service companies. <br>
DOI: 10.5281/zenodo.4695281
title: Business Event Exchange Ontology

description: Recent developments in data analysis and machine learning support novel data-driven operations. Event data provide social and environmental context, thus, such data become very important to be integrated into the workflow of data analytic pipelines. We introduce our Business Event Exchange Ontology (BEEO), based on Schema.org that enables data integration and analytics for event data. <br> BEEO is available under Apache 2.0 license on GitHub and is seeing adoption among both its creator companies and other product and service companies. <br>
DOI: 10.5281/zenodo.4610000
title: Annotated (Pseudo-)Transitive Relations of the LOD Cloud

description: This deposit consists of the manually annotated gold standard, graph files, and evaluation results for our study of (pseudo-)transitive relations. The <strong>gold-standard.zip</strong> file provides the files consisting of manually evaluated triples. <br> The files were exported from ANNit with the column:<br> - LEFT* for the source URI of the triple.<br> - RIGHT* for the target URI of the triple.<br> - UserChioce for the choice of user when manually evaluated<br> - Decision* for the actual decision made by rater/annotator. It can only be unknown, remove, remain.<br> - Comment, if any. The corresponding gold-standard.pdf file provides all the details about the creation of the gold standard. The folder graph_file includes the unweighted graphs, as well as the two sets of weighted graphs: the graphs with counted weights and the graphs with inferred weights (in the subdirectory of <strong>counted_weights</strong> and <strong>inferred_weights</strong> subdirectory respectively). <br> The files are compressed in the format of *.gz. Each file consists of two columns of integers as the source and the target. The integers correspond to the URIs. The corresponding mapping files are in the directory <strong>mapping</strong>. The corresponding files (of unweighted graphs) in WebGraph format are provided. These files were used when evaluating our algorithm against the exiting web-scale feedback-arc-set algorithm. The source code for refinement is at https://github.com/shuaiwangvu/Refining-Transitive-Relations Some raw data for table 2 and table 3 in our corresponding paper and their analysis are also provided. There were two static settings of the parameter for Table 2 and we chose the first setting for the final presentation in the paper. XL (static): b1 = 15,000 and b2 = 3,000 L (static): b1 = 1,000 and b2 = 200 Should there be any problem with these datasets, please feel free to report to us at the following email address: shuai.wang@vu.nl. A link to the full paper will be published when the paper is accepted.
DOI: 10.5281/zenodo.4609999
title: Annotated (Pseudo-)Transitive Relations of the LOD Cloud

description: This deposit consists of the manually annotated gold standard, graph files, and evaluation results for our study of (pseudo-)transitive relations. The <strong>gold-standard.zip</strong> file provides the files consisting of manually evaluated triples. <br> The files were exported from ANNit with the column:<br> - LEFT* for the source URI of the triple.<br> - RIGHT* for the target URI of the triple.<br> - UserChioce for the choice of user when manually evaluated<br> - Decision* for the actual decision made by rater/annotator. It can only be unknown, remove, remain.<br> - Comment, if any. The corresponding gold-standard.pdf file provides all the details about the creation of the gold standard. The folder graph_file includes the unweighted graphs, as well as the two sets of weighted graphs: the graphs with counted weights and the graphs with inferred weights (in the subdirectory of <strong>counted_weights</strong> and <strong>inferred_weights</strong> subdirectory respectively). <br> The files are compressed in the format of *.gz. Each file consists of two columns of integers as the source and the target. The integers correspond to the URIs. The corresponding mapping files are in the directory <strong>mapping</strong>. The corresponding files (of unweighted graphs) in WebGraph format are provided. These files were used when evaluating our algorithm against the exiting web-scale feedback-arc-set algorithm. The source code for refinement is at https://github.com/shuaiwangvu/Refining-Transitive-Relations Some raw data for table 2 and table 3 in our corresponding paper and their analysis are also provided. There were two static settings of the parameter for Table 2 and we chose the first setting for the final presentation in the paper. XL (static): b1 = 15,000 and b2 = 3,000 L (static): b1 = 1,000 and b2 = 200 Should there be any problem with these datasets, please feel free to report to us at the following email address: shuai.wang@vu.nl. A link to the full paper will be published when the paper is accepted.
DOI: 10.5517/ccdc.csd.cc23yppg
title: CCDC 1964956: Experimental Crystal Structure Determination

description: Related Article: Marco Baron, Anna Dall’Anese, Alessandro Miolato, Maddalena L. C. Cairoli, Valerio Di Marco, Claudia Graiff, Alexander Pöthig, Cristina Tubaro|2020|New J.Chem.|44|5343|doi:10.1039/C9NJ05809E
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/ccdc.csd.cc23ypqh
title: CCDC 1964957: Experimental Crystal Structure Determination

description: Related Article: Marco Baron, Anna Dall’Anese, Alessandro Miolato, Maddalena L. C. Cairoli, Valerio Di Marco, Claudia Graiff, Alexander Pöthig, Cristina Tubaro|2020|New J.Chem.|44|5343|doi:10.1039/C9NJ05809E
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/ccdc.csd.cc24bv5j
title: CCDC 1976627: Experimental Crystal Structure Determination

description: Related Article: Caroline P. Stow, Ross A. Widenhoefer|2020|Organometallics|39|1249|doi:10.1021/acs.organomet.0c00033
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/ccdc.csd.cc24bv7l
title: CCDC 1976629: Experimental Crystal Structure Determination

description: Related Article: Caroline P. Stow, Ross A. Widenhoefer|2020|Organometallics|39|1249|doi:10.1021/acs.organomet.0c00033
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/ccdc.csd.cc24bv8m
title: CCDC 1976630: Experimental Crystal Structure Determination

description: Related Article: Caroline P. Stow, Ross A. Widenhoefer|2020|Organometallics|39|1249|doi:10.1021/acs.organomet.0c00033
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: 10.6084/m9.figshare.20496285
title: bohai.rar

description: SST dataset
DOI: 10.34740/kaggle/dsv/4078293
title: YouTube Daily
DOI: 10.7294/20457189
title: Surface Pressure Spectra Beneath High Reynolds Number Smooth and Rough Wall Boundary Layers in Pressure Gradients

description: This dataset contains surface pressure autospectral densities, mean velocity profiles, and mean boundary layer parameters for a systematic family of high Reynolds number (11,000 &lt; Re_theta &lt; 83,000) low Mach number (0.08 &lt; M &lt; 0.20) turbulent boundary layer flows over smooth and very rough (300 &lt; k+ &lt; 900) surfaces in adverse and favorable continually varying mild pressure gradients (-0.8 &lt; beta &lt; 0.8). There are two Reynolds number and twelve pressure gradient cases (twenty-four total) for each surface treatment and seven measurement locations within each flow case, for a total of 336 unique flow conditions. For each condition, there is an auto spectral density of fluctuating pressure G_pp (Pa2/Hz) vs. f (Hz), mean velocity profiles dimensional (u vs. y) and viscous-normalized (u+ vs. y+), and an array of relevant scalar parameters, including local density and viscosity, boundary layer thicknesses, skin friction coefficient, and other parameters from the literature. These cases are generated by studying the boundary layer on the side-wall of a wind tunnel test-section while a NACA0012 airfoil is present in the test-section center. The presence of the airfoil displaces pressure gradient distributions on the wall as a function of model angle of attack. This dataset is associated with two resource DOI’s: 10.2514/1.J061431, 10.1007/s00348-022-03476-9 . The resource title “Fluctuating Pressure Beneath Smooth Wall Boundary Layers in Non-Equilibrium Pressure Gradients” associated with the resource DOI 10.2514/1.J061431 is already published. The resource title “Turbulence and pressure fluctuations in rough wall boundary layers in pressure gradients” associated with the resource DOI 10.1007/s00348-022-03476-9 is accepted and should be published soon.
DOI: 10.5281/zenodo.5939452
title: Validation in Spanish and British English of the Transgender Inclusive Behavior Scale (TIBS).

description: Data sets of the article Validation in Spanish and British English of the Transgender Inclusive Behavior Scale (TIBS). SPSS data sets were used to perform Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) in Spain and the United Kingdom.
DOI: 10.5281/zenodo.5907239
title: Validation in Spanish and British English of the Transgender Inclusive Behavior Scale (TIBS).

description: Data sets of the article Validation in Spanish and British English of the Transgender Inclusive Behavior Scale (TIBS). SPSS data sets were used to perform Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) in Spain and the United Kingdom.
DOI: 10.5517/ccdc.csd.cc2272yc
title: CCDC 1913442: Experimental Crystal Structure Determination

description: Related Article: Alejandro Portugués, Inmaculada López‐García, Javier Jiménez‐Bernad, Delia Bautista, Juan Gil‐Rubio|2019|Chem.-Eur.J.|25|15535|doi:10.1002/chem.201903058
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/ccdc.csd.cc22731h
title: CCDC 1913445: Experimental Crystal Structure Determination

description: Related Article: Alejandro Portugués, Inmaculada López‐García, Javier Jiménez‐Bernad, Delia Bautista, Juan Gil‐Rubio|2019|Chem.-Eur.J.|25|15535|doi:10.1002/chem.201903058
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/ccdc.csd.cc20s4ts
title: CCDC 1870255: Experimental Crystal Structure Determination

description: Related Article: Philipp Frisch, Shigeyoshi Inoue|2018|Chem.Commun.|54|13658|doi:10.1039/C8CC07754A
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/ccdc.csd.cc22732j
title: CCDC 1913446: Experimental Crystal Structure Determination

description: Related Article: Alejandro Portugués, Inmaculada López‐García, Javier Jiménez‐Bernad, Delia Bautista, Juan Gil‐Rubio|2019|Chem.-Eur.J.|25|15535|doi:10.1002/chem.201903058
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/ccdc.csd.cc22733k
title: CCDC 1913447: Experimental Crystal Structure Determination

description: Related Article: Alejandro Portugués, Inmaculada López‐García, Javier Jiménez‐Bernad, Delia Bautista, Juan Gil‐Rubio|2019|Chem.-Eur.J.|25|15535|doi:10.1002/chem.201903058
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/ccdc.csd.cc22jbb9
title: CCDC 1922320: Experimental Crystal Structure Determination

description: Related Article: Renso Visbal, Raquel P. Herrera and M. Concepción Gimeno|2019|Chem.-Eur.J.|25|15837|doi:10.1002/chem.201903494
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/ccdc.csd.cc22z9n1
title: CCDC 1935753: Experimental Crystal Structure Determination

description: Related Article: Lewis C. Wilkins, Youngmin Kim, Elishua D. Litle, François P. Gabbaï|2019|Angew.Chem.,Int.Ed.|58|18266|doi:10.1002/anie.201911662
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/ccdc.csd.cc22z9p2
title: CCDC 1935754: Experimental Crystal Structure Determination

description: Related Article: Lewis C. Wilkins, Youngmin Kim, Elishua D. Litle, François P. Gabbaï|2019|Angew.Chem.,Int.Ed.|58|18266|doi:10.1002/anie.201911662
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.