cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57841/casdc.0001976
title: 端面宽度对机械密封极限pcv (pressure×velocity)值的影响
DOI: 10.5281/zenodo.8075199
title: MDCC: A Multimodal Dynamic Dataset for Donation-based Crowdfunding Campaigns

description: This is the repository of MDCC: A Multimodal Dynamic Dataset for Donation-based<br> Crowdfunding Campaigns. For details, please refer: https://github.com/Jiayang-L1/mdcc <br> V2: We added json and csv files for easier use and renamed it with standard name. Specifically, the "comment_cor_time" column in new files means the corresponding donation time of each comment.
DOI: 10.5281/zenodo.8075200
title: MDCC: A Multimodal Dynamic Dataset for Donation-based Crowdfunding Campaigns

description: This is the repository of MDCC: A Multimodal Dynamic Dataset for Donation-based<br> Crowdfunding Campaigns. For details, please refer: https://github.com/Jiayang-L1/mdcc
DOI: 10.5281/zenodo.8287320
title: MDCC: A Multimodal Dynamic Dataset for Donation-based Crowdfunding Campaigns

description: This is the repository of MDCC: A Multimodal Dynamic Dataset for Donation-based<br> Crowdfunding Campaigns. For details, please refer: https://github.com/Jiayang-L1/mdcc <br> V2: We added json and csv files for easier use and renamed it with standard name. Specifically, the "comment_cor_time" column in new files means the corresponding donation time of each comment.
DOI: 10.25704/s6jb-ck61
title: Buoy Bahía de Palma Physicochemical parameters of sea water data

description: Data produced in the platform Buoy BahiaDePalma. It's compound by: Conductivity and Temperature Recorder, Current profiler, Currentmeter, Multiparameter probe, Oceanographic Buoy, Status, Waves recorder, Weather Station data
DOI: 10.5281/zenodo.8288558
title: open data

description: Chinese sentiment analysis data set
DOI: 10.5281/zenodo.8288557
title: open data

description: Chinese sentiment analysis data set
DOI: 10.25442/hku.24023640
title: Supporting data for "Integrating Multiple Pieces of Emotional Evidence in Perceptual Decision Making: A Cognitive and Computational Investigation"

description: The zipped folder includes individual folders of each study pertained in the thesis. Within each study's folder, there are two separated subfolders: "Data_Processed" which includes processed data, and "scripts" with MATLAB and Python code for data cleaning, processing and analysis. There is a readme.txt file accompanying this submission as well.
DOI: 10.25442/hku.24023640.v1
title: Supporting data for "Integrating Multiple Pieces of Emotional Evidence in Perceptual Decision Making: A Cognitive and Computational Investigation"

description: The zipped folder includes individual folders of each study pertained in the thesis. Within each study's folder, there are two separated subfolders: "Data_Processed" which includes processed data, and "scripts" with MATLAB and Python code for data cleaning, processing and analysis. There is a readme.txt file accompanying this submission as well.
DOI: 10.6084/m9.figshare.23541147.v1
title: Supplementary Material for: Varieties of Religious and Spiritual Struggles by Type of Mental Disorder: A Qualitative Approach

description: <b><i>Introduction:</i></b> Little is known about types of religious/spiritual (R/S) struggles with regard to various diagnostic groups in mental health care. The current qualitative study aims to give an impression of R/S struggles as observed in six diagnostic groups in clinical mental health care. <b><i>Methods:</i></b> Inductive thematic content analysis was applied to 34 semi-structured interviews. The interviews were performed among (day) clinical mental health care patients in two institutions. <b><i>Results:</i></b> Among patients with depression, a lack of positive R/S experiences, isolation, and feelings of guilt and shame were present. Those with cluster C and anxiety disorders reported uncertainty toward God and faith and R/S reticence. Psychotic disorders were accompanied by impressive R/S experiences, reticence to share these, and mistrust toward health professionals. Patients with bipolar disorder struggled with the interpretation of their R/S experiences and with both attraction and distance toward R/S. Cluster B patients showed ambivalence and anger toward God and others, and some reported existential tiredness. Patients with autism mentioned doubts and troubles with religious beliefs. In all groups, many patients had questions like “why?” or “where is God?” <b><i>Conclusion:</i></b> R/S struggles to some extent may be the language of the illness. Mental health professionals are recommended to take this into account, taking heed of the content of individual R/S struggles and considering using R/S interventions.
DOI: 10.5281/zenodo.7681423
title: Dataset: Evolution Of Computational Ontologies: Assessing Development Processes Using Metrics

description: Ontologies facilitate meaning between human and computational actors. On the one hand, the underlying technology can be considered mature. It has a standardized language, established tools for editing and sharing, and broad adoption in practice and research. On the other hand, we still know little about how these artifacts evolve over their lifetime, even though knowledge of the development process could influence quality control. It would enable us to give knowledge engineers better modeling or selection guidelines. This paper examines the evolution of computational ontologies using ontology metrics. First, we gathered hypotheses on the ontology development process. We assume that groups of ontologies follow a similar development pattern and that a stereotypical development process exists. Afterward, these hypotheses are tested against historical metric data from 7053 versions from 69 dormant ontologies. We will show that ontology development processes are highly heterogeneous. While the made hypotheses are partly true for a slight majority of ontologies, concluding the bigger picture of ontology development down to the individual ontologies is mostly not possible. Further, the data revealed that most ontologies have disruptive change events for most of the measures attributes. These disruptive events are further examined regarding their occurrences, combinations, and sizes.
DOI: 10.5281/zenodo.7681422
title: Dataset: Evolution Of Computational Ontologies: Assessing Development Processes Using Metrics

description: Ontologies facilitate meaning between human and computational actors. On the one hand, the underlying technology can be considered mature. It has a standardized language, established tools for editing and sharing, and broad adoption in practice and research. On the other hand, we still know little about how these artifacts evolve over their lifetime, even though knowledge of the development process could influence quality control. It would enable us to give knowledge engineers better modeling or selection guidelines. This paper examines the evolution of computational ontologies using ontology metrics. First, we gathered hypotheses on the ontology development process. We assume that groups of ontologies follow a similar development pattern and that a stereotypical development process exists. Afterward, these hypotheses are tested against historical metric data from 7053 versions from 69 dormant ontologies. We will show that ontology development processes are highly heterogeneous. While the made hypotheses are partly true for a slight majority of ontologies, concluding the bigger picture of ontology development down to the individual ontologies is mostly not possible. Further, the data revealed that most ontologies have disruptive change events for most of the measures attributes. These disruptive events are further examined regarding their occurrences, combinations, and sizes.
DOI: 10.21942/uva.24041787
title: Corrected coral photosynthesis to respiration ratio data

description: Corrected photosynthesis to respiration ratios - see Corrigendum for the paper
DOI: 10.17895/ices.data.7624
title: ICES 2020 Oceanic Northeast Atlantic Ecoregion Fisheries Overview - Data Output file
DOI: 10.21227/wesc-p024
title: Primary school test question bank.

description: In primary education in China, mathematics, science, and Chinese are commonly considered as the core subjects. This emphasis is primarily due to their significance in providing a strong foundation for students' overall academic development in their whole life. Mathematics cultivates logical thinking, problem-solving skills, and numerical proficiency, which are essential in various disciplines. Science education fosters scientific literacy, critical thinking, and an understanding of the natural world. Additionally, Chinese language education is crucial for communication, cultural understanding, and preserving the country's rich heritage. By prioritizing these subjects, China's national education authorities aims to equip its students with a well-rounded curriculum that prepares them for future academic and professional pursuits. The purpose of this study is to investigate whether current LLMs should be recommended and directly used as teaching aids in Chinese primary Schools. We thereby make two assumptions regarding the capabilities of qualified teaching aids: firstly, the qualified teaching aids should have the ability to accurately solve problems, and secondly, the qualified teaching aids should have the ability to provide a reasonable explanation of the problem-solving process. In addition, the NCSFCE are followed in the selection of test questions. Notably, the NCSFCE serve as guidelines for the content, objectives, and assessment of school education in China's compulsory education system. These standards aim to provide a comprehensive framework for the development of students' learning skills, scientific literacy, and cultural understanding. In this particular study, we have chosen the most significant ones, namely, Chinese, mathematics and science subjects for grades 1-6 in the curriculum standard.
DOI: 10.5281/zenodo.8288707
title: First-principles insights into the electronic, optical, thermophysical, and mechanical properties of lead-free cubic novel Ba3SbBr3 perovskite

description: Lead-free halide perovskites have emerged as a significant class of materials with immense<br> potential for solar cell synthesis. Among these materials, Ba3SbBr3, a halide novel perovskite,<br> exhibits remarkable efficiency and holds promise for solar cell applications. There are a lot of<br> physical properties, including its elasticity, electrical composition, bonding, thermophysical,<br> optoelectronic properties, and optical properties, that remain unexplored. In this study, we<br> employ advanced density functional theory-based computations to investigate and unveil the<br> previously unidentified physical properties of novel Ba3SbBr3. Our research encompasses a wide<br> range of analyses, covering mechanical stability, phonon dispersion properties, thermophysical<br> properties, elastic parameters, and bonding nature. By precisely analyzing the phonon dispersion<br> properties and applying the Born-Huang criteria, we demonstrated it as mechanically stable.<br> Moreover, our investigation demonstrates that Ba3SbBr3 exhibits favorable machinability and mechanical isotropy through the analysis of various elastic parameters. ELATE’s three-<br> dimensional visualization and optical properties also show isotropic behavior in all directions. The electron charge density reveals the possession of the ionic bonding. Additionally, Ba3SbBr3<br> possesses a direct bandgap, which is essential for efficient optoelectronic performance. The study<br> also encompasses an exploration of the thermophysical properties including the melting<br> temperature, Debye temperature, Grüneisen parameter, and thermal expansion coefficient. The<br> higher values observed in these properties highlight the material's enhanced mechanical stability,<br> thermal stability, and overall suitability for optoelectronic device applications. A large range of<br> photoconductivity and absorption coefficient indicates the suitability of its application in solar<br> cells. The comprehensive investigation conducted in this study contributes novel insights into the<br> unexplored physical properties of Ba3SbBr3, providing a solid foundation for future research<br> endeavors. The findings presented here serve as a valuable reference and inspiration for further<br> theoretical and experimental studies in this rapidly evolving field. The knowledge gained from<br> this research holds great promise for advancing the development of solar engineering and device<br> technologies.
DOI: 10.5281/zenodo.8288706
title: First-principles insights into the electronic, optical, thermophysical, and mechanical properties of lead-free cubic novel Ba3SbBr3 perovskite

description: Lead-free halide perovskites have emerged as a significant class of materials with immense<br> potential for solar cell synthesis. Among these materials, Ba3SbBr3, a halide novel perovskite,<br> exhibits remarkable efficiency and holds promise for solar cell applications. There are a lot of<br> physical properties, including its elasticity, electrical composition, bonding, thermophysical,<br> optoelectronic properties, and optical properties, that remain unexplored. In this study, we<br> employ advanced density functional theory-based computations to investigate and unveil the<br> previously unidentified physical properties of novel Ba3SbBr3. Our research encompasses a wide<br> range of analyses, covering mechanical stability, phonon dispersion properties, thermophysical<br> properties, elastic parameters, and bonding nature. By precisely analyzing the phonon dispersion<br> properties and applying the Born-Huang criteria, we demonstrated it as mechanically stable.<br> Moreover, our investigation demonstrates that Ba3SbBr3 exhibits favorable machinability and mechanical isotropy through the analysis of various elastic parameters. ELATE’s three-<br> dimensional visualization and optical properties also show isotropic behavior in all directions. The electron charge density reveals the possession of the ionic bonding. Additionally, Ba3SbBr3<br> possesses a direct bandgap, which is essential for efficient optoelectronic performance. The study<br> also encompasses an exploration of the thermophysical properties including the melting<br> temperature, Debye temperature, Grüneisen parameter, and thermal expansion coefficient. The<br> higher values observed in these properties highlight the material's enhanced mechanical stability,<br> thermal stability, and overall suitability for optoelectronic device applications. A large range of<br> photoconductivity and absorption coefficient indicates the suitability of its application in solar<br> cells. The comprehensive investigation conducted in this study contributes novel insights into the<br> unexplored physical properties of Ba3SbBr3, providing a solid foundation for future research<br> endeavors. The findings presented here serve as a valuable reference and inspiration for further<br> theoretical and experimental studies in this rapidly evolving field. The knowledge gained from<br> this research holds great promise for advancing the development of solar engineering and device<br> technologies.
DOI: 10.5281/zenodo.8288677
title: Optical measurement of the work function and the field reduction factor of metallic needle tips

description: The dataset belongs to a technique to measure the work function, as well as the factor (k*r_tip), of metallic needle tips in situ by electron emission triggered by continuous laser beams with 405 nm and 488 nm.
DOI: 10.5281/zenodo.8288676
title: Optical measurement of the work function and the field reduction factor of metallic needle tips

description: The dataset belongs to a technique to measure the work function, as well as the factor (k*r_tip), of metallic needle tips in situ by electron emission triggered by continuous laser beams with 405 nm and 488 nm.
DOI: 10.5281/zenodo.7565521
title: Rps19 R67∆ mutation creates a model of Diamond-Blackfan anemia and reveals downstream mediators of p53 pathway.

description: Diamond-Blackfan anemia (DBA) is a rare bone marrow failure syndrome accompanied by cardiovascular, skeletal, and urogenital abnormalities. Most of the affected individuals carry mutations in ribosomal proteins, including S19 (Rps19), a part of the 40S ribosomal subunit. We developed a transgenic model harboring deletion of conserved Arg 67 in <em>RPS19</em>, which is the site of post-translational modification by protein-arginine methyl transferase family and could show that the defect in Rps19 causes phenotype in perfect overlap with the DBA including hematologic dysfunctions, hypotrophy, intrinsic anemia, severe craniofacial, skeletal, urogenital, cardiovascular, and cerebral abnormalities leading to premature lethality during the adolescence of the mouse. This DBA mouse model exhibited activation of the Trp53 signaling pathway in hematopoietic stem cells (HSCs) leading to reduced erythroid lineage development. Competitive transplantation assays using Rps19-deficient bone marrow cells confirmed that HSCs and their progeny lineages were affected while their differentiation was rescued after inactivation of the tumor suppressor Trp53 showing that the development of the DBA phenotype significantly involves non-canonical components of the p53 signaling pathway in the etiopathogenesis of DBA with the Rps19R67∆ mutation leading to the disrupted hematopoietic hierarchy starting at the stage of short-term repopulating stem cells. The activated p53 pathway was mediated by downstream molecules Zmat3, Phlda3, and Eda2r, whose overall function in the pathology of DBA involve erythroid differentiation blockade coupled with cell proliferation and survival disruption. To conclude, the new DBA model represents a powerful tool for exploring new therapeutic options for DBA.
DOI: 10.5281/zenodo.7565522
title: Rps19 R67∆ mutation creates a model of Diamond-Blackfan anemia and reveals downstream mediators of p53 pathway.

description: Diamond-Blackfan anemia (DBA) is a rare bone marrow failure syndrome accompanied by cardiovascular, skeletal, and urogenital abnormalities. Most of the affected individuals carry mutations in ribosomal proteins, including S19 (Rps19), a part of the 40S ribosomal subunit. We developed a transgenic model harboring deletion of conserved Arg 67 in <em>RPS19</em>, which is the site of post-translational modification by protein-arginine methyl transferase family and could show that the defect in Rps19 causes phenotype in perfect overlap with the DBA including hematologic dysfunctions, hypotrophy, intrinsic anemia, severe craniofacial, skeletal, urogenital, cardiovascular, and cerebral abnormalities leading to premature lethality during the adolescence of the mouse. This DBA mouse model exhibited activation of the Trp53 signaling pathway in hematopoietic stem cells (HSCs) leading to reduced erythroid lineage development. Competitive transplantation assays using Rps19-deficient bone marrow cells confirmed that HSCs and their progeny lineages were affected while their differentiation was rescued after inactivation of the tumor suppressor Trp53 showing that the development of the DBA phenotype significantly involves non-canonical components of the p53 signaling pathway in the etiopathogenesis of DBA with the Rps19R67∆ mutation leading to the disrupted hematopoietic hierarchy starting at the stage of short-term repopulating stem cells. The activated p53 pathway was mediated by downstream molecules Zmat3, Phlda3, and Eda2r, whose overall function in the pathology of DBA involve erythroid differentiation blockade coupled with cell proliferation and survival disruption. To conclude, the new DBA model represents a powerful tool for exploring new therapeutic options for DBA.
DOI: 10.23729/73451a35-dec3-4e1c-a92e-0483198c0a06
title: Ammattikorkeakoulu- ja yhteiskirjastojen käyttäjäkysely 2022

description: Ammattikorkeakoulu- ja yhteiskirjastot selvittivät asiakastyytyväisyyttä ja palvelujen käyttöä vuonna 2022 käyttäjäkyselyllä. Käyttäjäkyselyn määrällinen data avataan Excel-tiedostona. Kyselyä täydentää käyttäjäkyselyn kyselylomake, jonka avulla kyselydata on jatkokäytettävissä (muuttujalistaus). Vastaajien anonymiteetin turvaamiseksi alkuperäiseen dataan on tehty seuraavat muutokset: Vastaajaryhmissä seuraavat muutokset: -amkin tki-henkilöstö yhdistetty vastausvaihtoehto amkin muu henkilöstö kanssa -yliopiston tki-henkilöstö yhdistetty vastausvaihtoehto yliopiston muu henkilöstö kanssa -amkin vaihto-opiskelija yhdistetty vastausvaihtoehto avoimen amk:n opiskelija kanssa -yliopiston vaihto-opiskelija yhdistetty vastausvaihtoehto avoimen yliopiston opiskelija kanssa -toisen asteen henkilöstö ja toisen asteen opiskelija yhdistetty vastausvaihtoehto muu kirjaston asiakas kanssa Taustatiedoissa: -Kampus, jonka kirjastoa vastaaja arvioi, on poistettu datasta kokonaan. Kyselylomakkeen vastausvaihtoehto 6 on datassa koodattu uudelleen N/A, jotta se ei vaikuttaisi muuttujan keskiarvoon. Avoimet vastaukset on poistettu datasta kokonaan.
DOI: 10.5281/zenodo.8287289
title: Machine Learning-based Energy Optimisation in Smart City Internet of Things

description: Dataset for the paper Machine Learning-based Energy Optimisation in Smart City Internet of Things accepted for publication at The First International Workshop on the Integration between Distributed Machine Learning and the Internet of Things, ACM MobiHoc 2023. The dataset is collected from a real-world deployment of environmental sensors in the city of Bern, Switzerland. Our proposed approach can be applied to determine the tradeoff between the accuracy of temperature measurements and reducing the energy consumption for a single sensor; hence, without loss of generality, the evaluation is conducted on a dataset from a single sensor. Overall, we acquired 3697 measurements, each long 138 seconds. To correct the measurements, we set the maximum ventilation duration of 138 seconds, during which the multivariate time series of humidity and temperature sensor values are recorded together with their corresponding timestamps. The sensor values are recorded at a fixed frequency. From this raw data, we created the training and test sets through data augmentation to simulate time series of different lengths. Namely, for each measurement, we generated 136 samples with the increasing length of measurement time-series, padding the residual time-series length with zeros until reaching a time-series length of 137. We released the source code and trained models on the following GitHub repository https://www.github.com/ricsamikwa/ml-iot-smartcitytemp
DOI: 10.5281/zenodo.8287290
title: Machine Learning-based Energy Optimisation in Smart City Internet of Things

description: Dataset for the paper Machine Learning-based Energy Optimisation in Smart City Internet of Things accepted for publication at The First International Workshop on the Integration between Distributed Machine Learning and the Internet of Things, ACM MobiHoc 2023. The dataset is collected from a real-world deployment of environmental sensors in the city of Bern, Switzerland. Our proposed approach can be applied to determine the tradeoff between the accuracy of temperature measurements and reducing the energy consumption for a single sensor; hence, without loss of generality, the evaluation is conducted on a dataset from a single sensor. Overall, we acquired 3697 measurements, each long 138 seconds. To correct the measurements, we set the maximum ventilation duration of 138 seconds, during which the multivariate time series of humidity and temperature sensor values are recorded together with their corresponding timestamps. The sensor values are recorded at a fixed frequency. From this raw data, we created the training and test sets through data augmentation to simulate time series of different lengths. Namely, for each measurement, we generated 136 samples with the increasing length of measurement time-series, padding the residual time-series length with zeros until reaching a time-series length of 137. We released the source code and trained models on the following GitHub repository https://www.github.com/ricsamikwa/ml-iot-smartcitytemp