cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15480/336.2753
title: Giant Piezoelectrolytic Actuation in a Nanoporous Silicon-Polypyrrole Hybrid Material

description: Data for the publication "Giant Piezoelectrolytic Actuation in a Nanoporous Silicon-Polypyrrole Hybrid Material" as well as a detailed description of the datasets.
DOI: 10.5281/zenodo.8094272
title: Managing Human Factors in Automated Vehicle Development: Towards Challenges and Practices

description: This data set complements our publication with the title: "Managing Human Factors in Automated Vehicle Development: Towards Challenges and Practices" to appear in Proceedings of IEEE 31st International Requirements Engineering Conference (RE'23), Hannover, Germany, 2023 To support our research, we are providing two files: a) Interview Guide<br> b) Overview of Themes Please note that the themes mentioned in the theme file are not directly relevant to this specific paper. They relate to another study conducted using the same dataset. We have included these themes to demonstrate that the dataset was used for two separate papers, each examining different aspects.
DOI: 10.5281/zenodo.7744880
title: Managing Human Factors in Automated Vehicle Development: Towards Challenges and Practices

description: This data set complements our publication with the title: "Managing Human Factors in Automated Vehicle Development: Towards Challenges and Practices" to appear in Proceedings of IEEE 31st International Requirements Engineering Conference (RE'23), Hannover, Germany, 2023 To support our research, we are providing two files: a) Interview Guide<br> b) Overview of Themes Please note that the themes mentioned in the theme file are not directly relevant to this specific paper. They relate to another study conducted using the same dataset. We have included these themes to demonstrate that the dataset was used for two separate papers, each examining different aspects.
DOI: 10.7910/dvn/y9ey7e
title: Replication Data for: Multidimensional Diversity and Opportunity Structure in Political Science

description: Replication data for "Diversity, Inequality, and Opportunity Structure in Political Science: What 50 Years of Bibliometric Data Tells Us" by Yuner ZHU & Edmund Wai CHENG
DOI: 10.5281/zenodo.4473250
title: Integrated Simulation-Based Optimization of Operational Decisions at Container Terminals - Dataset

description: At container terminals, many cargo handling processes are interconnected and occur in parallel. Within short time windows, many operational decisions need to be made and should consider both time efficiency and equipment utilization. During operation, many sources of disturbance and, thus, uncertainty exist. For these reasons, perfectly coordinated processes can potentially unravel. This study analyzes simulation-based optimization, an approach that considers uncertainty by means of simulation while optimizing a given objective. The developed procedure simultaneously scales the amount of utilized equipment and adjusts the selection and tuning of operational policies. Thus, the benefits of a simulation study and an integrated optimization framework are combined in a new way. Four meta-heuristics - Tree-structured Parzen Estimator, Bayesian Optimization, Simulated Annealing, and Random Search - guide the simulation-based optimization process. Thus, this study aims to determine a favorable configuration of equipment quantity and operational policies for container terminals using a small number of experiments and, simultaneously, to empirically compare the chosen meta-heuristics including the reproducibility of the optimization runs. The results show that simulation-based optimization is suitable for identifying the amount of required equipment and well-performing policies. Among the presented scenarios, no clear ranking between meta-heuristics regarding the solution quality exists. The approximated optima suggest that pooling yard trucks and a yard block assignment that is close to the quay crane are preferable. The dataset is stored in the Excel file named <em>Integrated Simulation-Based Optimization of Operational Decisions at Container Terminals - Dataset.xlsx</em>.This contains the data to create the figures and the data to run the statistics. The data analysis is stored in the Jupyter Notebook named<em> Integrated Simulation-Based Optimization of Operational Decisions at Container Terminals - Data Analysis.ipynb</em>. This contains tje code to create the figures and the data to run the statistics.
DOI: 10.5281/zenodo.6457783
title: Shapefiles representing regions in alien species databases for 9 taxa

description: Shapefiles representing regions in alien species databases. 1- Regions_shapefile_amphibians_reptiles - created based on the regional information available in "Capinha, C. <em>et al.</em> Diversity, biogeography and the global flows of alien amphibians and reptiles. <em>Divers Distrib</em> <strong>23</strong>, 1313–1322 (2017)." 2- Regions_shapefile_ants_mammals - provided by "Guénard, B., Weiser, M. D., Gómez, K., Narula, N. & Economo, E. P. The Global Ant Biodiversity Informatics (GABI) database: synthesizing data on the geographic distribution of ant species (Hymenoptera: Formicidae). <em>Myrmecological News</em> <strong>24</strong>, 83–89 (2017)." 3- Regions_shapefile_birds - created based on the regional information available in "Dyer, E. E., Redding, D. W. & Blackburn, T. M. The global avian invasions atlas, a database of alien bird distributions worldwide. <em>Sci Data</em> <strong>4</strong>, 170041 (2017)." 4- Regions_shapefile_freshwater - provided by "Tedesco, P. A. <em>et al.</em> A global database on freshwater fish species occurrence in drainage basins. <em>Sci Data</em> <strong>4</strong>, 170141 (2017)." 5- Regions_shapefile_macrofungi - created based on the regional information available in "Monteiro, M. <em>et al.</em> A database of the global distribution of alien macrofungi. <em>Biodiversity Data Journal </em><strong>8</strong>, e51459 (2020)." 6- Regions_shapefile_plants - provided by "Kleunen, M. <em>et al.</em> The Global Naturalised Alien Flora (GloNAF) database. <em>Ecology</em> <strong>100</strong>, (2019)." 7- Regions_shapefile_spiders - created based on the regional information shared by co-author Wolfgang Nentwig
DOI: 10.17631/rd-2023-0011-ddat
title: Psychosocial determinants of successful resettlement among Nigerian immigrants resident in England: a mixed methods approach
DOI: 10.5281/zenodo.6457782
title: Shapefiles representing regions in alien species databases for 9 taxa

description: Shapefiles representing regions in alien species databases. 1- Regions_shapefile_amphibians_reptiles - created based on the regional information available in "Capinha, C. <em>et al.</em> Diversity, biogeography and the global flows of alien amphibians and reptiles. <em>Divers Distrib</em> <strong>23</strong>, 1313–1322 (2017)." 2- Regions_shapefile_ants_mammals - provided by "Guénard, B., Weiser, M. D., Gómez, K., Narula, N. & Economo, E. P. The Global Ant Biodiversity Informatics (GABI) database: synthesizing data on the geographic distribution of ant species (Hymenoptera: Formicidae). <em>Myrmecological News</em> <strong>24</strong>, 83–89 (2017)." 3- Regions_shapefile_birds - created based on the regional information available in "Dyer, E. E., Redding, D. W. & Blackburn, T. M. The global avian invasions atlas, a database of alien bird distributions worldwide. <em>Sci Data</em> <strong>4</strong>, 170041 (2017)." 4- Regions_shapefile_freshwater - provided by "Tedesco, P. A. <em>et al.</em> A global database on freshwater fish species occurrence in drainage basins. <em>Sci Data</em> <strong>4</strong>, 170141 (2017)." 5- Regions_shapefile_macrofungi - created based on the regional information available in "Monteiro, M. <em>et al.</em> A database of the global distribution of alien macrofungi. <em>Biodiversity Data Journal </em><strong>8</strong>, e51459 (2020)." 6- Regions_shapefile_plants - provided by "Kleunen, M. <em>et al.</em> The Global Naturalised Alien Flora (GloNAF) database. <em>Ecology</em> <strong>100</strong>, (2019)." 7- Regions_shapefile_spiders - created based on the regional information shared by co-author Wolfgang Nentwig
DOI: 10.17026/dans-xyh-cces
title: Belgium General Election Study 2007

description: Similar to the previous General Election Studies, the 2007 General Election Study Belgium (fifth study) focuses on general political attitudes and behavior. Data has been collected on political information and knowledge, perceptions of political bodies such as parties, and perceptions of problems and important issues. Other questions deal with party identification, party preferences, feelings of political efficacy, and the nature and extent of political participation. Perceptions of social class and (economic) well-being, authoritarian attitudes, attitudes to immigrant workers, political corruption and the environment are some of the other areas investigated in this study. Extensive demographic data on respondents and their families have also been collected.The General Election Study Belgium has many objectives. First of all, it is intended to show a cross-section of political attitudes and behavior of Belgians after each General Election. Second, in order to study possible developments in political attitudes and behavior, Belgian General Election Study requires a longitudinal character, similar to some other European Election Studies. The third objective is to maximise the relationship with current theoretical research in different scientific disciplines such as political science, sociology, and social psychology. A final objective is to develop comparative research between the different regions and communities of Belgium, as well as with other countries.
DOI: 10.34943/64ff9fde-c29f-4878-b9aa-a2afbae8265d
title: Bullseye Oxygen Sensor Deployed 2023-06-28

description: The Sea-Bird SBE 63 Dissolved Oxygen Sensor 632514 was deployed on 2023-06-28 at Bullseye. Bullseye is a location at Clayoquot Slope, where gas hydrates, seafloor cold seeps, and hydrate dynamics are observed. This device is a Oxygen Sensor. Oxygen sensors measure dissolved oxygen concentration in seawater. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.25403/upresearchdata.23566140
title: Quantum dot development for sensing organic pollutants

description: The dataset refers to the information collected and compiled regarding the applications of quantum dots in phenanthrene sensing, atrazine sensing, and water sensing for organic pollutant detection, with the use of polydimethylsiloxane (PDMS) thin films with immobilized quantum dots.
DOI: 10.25403/upresearchdata.23566140.v1
title: Quantum dot development for sensing organic pollutants

description: The dataset refers to the information collected and compiled regarding the applications of quantum dots in phenanthrene sensing, atrazine sensing, and water sensing for organic pollutant detection, with the use of polydimethylsiloxane (PDMS) thin films with immobilized quantum dots.
DOI: 10.25345/c5pg1hz6k
title: MassIVE MSV000092304 - All mock dump samples GNPS-MassIVE
title: All mock dump samples GNPS-MassIVE All mock dump samples GNPS-MassIVE All mock dump samples GNPS-MassIVE wiff
DOI: 10.5281/zenodo.8060366
title: Dataset related to article "Transcriptomic profile of TNFhigh MAIT cells is linked to B cell response following SARS-CoV-2 vaccination"

description: This record contains raw data related to article “<em>Transcriptomic profile of TNF<sup>high</sup> MAIT cells is linked to B cell response following SARS-CoV-2 vaccination"</em> <strong>ABSTRACT</strong> <strong>Introduction:</strong> Higher frequencies of Mucosal-associated invariant T (MAIT) cells were associated with an increased adaptive response to mRNA <em>BNT162b2</em> SARS-CoV-2 vaccine, however, the mechanistic insights into this relationship are unknown. Here, we hypothesized that the TNF response of MAIT cells supports B cell activation following SARS-CoV-2 immunization. <strong>Methods:</strong> To investigate the effects of repeated SARS-CoV-2 vaccinations on the peripheral blood mononuclear cells (PBMCs), we performed a longitudinal single cell (sc)RNA-seq and scTCR-seq analysis of SARS-CoV-2 vaccinated healthy adults with two doses of the Pfizer-BioNTech <em>BNT162b2 </em>mRNA vaccine. Collection of PBMCs was performed 1 day before, 3- and 17-days after prime vaccination, and 3-days and 3-months following vaccine-boost. Based on scRNA/TCR-seq data related to regulatory signals induced by the vaccine, we used computational approaches for the functional pathway enrichment analysis (Reactome), dynamics of the effector cell-polarization (RNA Velocity and CellRank) and cell-cell communication (NicheNet). <strong>Results:</strong> We identified MAIT cells as an important source of TNF across circulating lymphocytes in response to repeated SARS-CoV-2 <em>BNT162b2</em> vaccination. The <em>TNF<sup>high</sup></em> signature of MAIT cells was induced by the second administration of the vaccine. Notably, the increased <em>TNF</em> expression was associated with MAIT cell proliferation and efficient anti-SARS-CoV-2 antibody production. Finally, by decoding the ligand-receptor interactions and incorporating intracellular signaling, we predicted <em>TNF<sup>high</sup></em> MAIT cell interplay with different B cell subsets. In specific, predicted <em>TNF</em>-mediated activation was selectively directed to conventional switched memory B cells, which are deputed to high-affinity long-term memory. <strong>Discussion:</strong> Overall, our results indicate that SARS-CoV-2 <em>BNT162b2</em> vaccination influences MAIT cell frequencies and their transcriptional effector profile with the potential to promote B cell activation. This work also provides a blueprint for the promising use of MAIT cells as cellular adjuvants in mRNA-based vaccines.
DOI: 10.5281/zenodo.8060365
title: Dataset related to article "Transcriptomic profile of TNFhigh MAIT cells is linked to B cell response following SARS-CoV-2 vaccination"

description: This record contains raw data related to article “<em>Transcriptomic profile of TNF<sup>high</sup> MAIT cells is linked to B cell response following SARS-CoV-2 vaccination"</em> <strong>ABSTRACT</strong> <strong>Introduction:</strong> Higher frequencies of Mucosal-associated invariant T (MAIT) cells were associated with an increased adaptive response to mRNA <em>BNT162b2</em> SARS-CoV-2 vaccine, however, the mechanistic insights into this relationship are unknown. Here, we hypothesized that the TNF response of MAIT cells supports B cell activation following SARS-CoV-2 immunization. <strong>Methods:</strong> To investigate the effects of repeated SARS-CoV-2 vaccinations on the peripheral blood mononuclear cells (PBMCs), we performed a longitudinal single cell (sc)RNA-seq and scTCR-seq analysis of SARS-CoV-2 vaccinated healthy adults with two doses of the Pfizer-BioNTech <em>BNT162b2 </em>mRNA vaccine. Collection of PBMCs was performed 1 day before, 3- and 17-days after prime vaccination, and 3-days and 3-months following vaccine-boost. Based on scRNA/TCR-seq data related to regulatory signals induced by the vaccine, we used computational approaches for the functional pathway enrichment analysis (Reactome), dynamics of the effector cell-polarization (RNA Velocity and CellRank) and cell-cell communication (NicheNet). <strong>Results:</strong> We identified MAIT cells as an important source of TNF across circulating lymphocytes in response to repeated SARS-CoV-2 <em>BNT162b2</em> vaccination. The <em>TNF<sup>high</sup></em> signature of MAIT cells was induced by the second administration of the vaccine. Notably, the increased <em>TNF</em> expression was associated with MAIT cell proliferation and efficient anti-SARS-CoV-2 antibody production. Finally, by decoding the ligand-receptor interactions and incorporating intracellular signaling, we predicted <em>TNF<sup>high</sup></em> MAIT cell interplay with different B cell subsets. In specific, predicted <em>TNF</em>-mediated activation was selectively directed to conventional switched memory B cells, which are deputed to high-affinity long-term memory. <strong>Discussion:</strong> Overall, our results indicate that SARS-CoV-2 <em>BNT162b2</em> vaccination influences MAIT cell frequencies and their transcriptional effector profile with the potential to promote B cell activation. This work also provides a blueprint for the promising use of MAIT cells as cellular adjuvants in mRNA-based vaccines.
DOI: 10.11583/dtu.21063193.v2
title: Fish species sensitivity to fishing

description: Data by FAO area on fish species sensitivity to fishing combining vulnerability from Cheung et al 2007 supplementary material, precautionary fishing mortality in European waters from Rindorf et al 2020 and vulenaribility from Osio et al 2015. Following STECF (2022) and Osio 2015, low sensitivity species are defined as species with a precautionary fishing mortality greater than 3 for the Rindorf et al data, a vulnerability less than 40 for the Cheung data and less than 1.6 for the Osio et al. data. Species with a high sensitivity are defined as species with a precautionary fishing mortality less than 0.41 for the Rindorf et al data, a vulnerability greater than 70 for the Cheung data and greater than 2 for the Osio et al data. Remaining species are defined as medium sensitivity. Please cite original source for the data. <br> Reference for the data and definitions: <br> Cheung, W. W., Watson, R., Morato, T., Pitcher, T. J., & Pauly, D. (2007). Intrinsic vulnerability in the global fish catch. <em>Marine Ecology Progress Series</em>, <em>333</em>, 1-12. <br> Osio, G. C., Orio, A., & Millar, C. P. (2015). Assessing the vulnerability of Mediterranean demersal stocks and predicting exploitation status of un-assessed stocks.<em> Fisheries Research</em>, 171, 110-121. <br> Rindorf, A., Gislason, H., Burns, F., Ellis, J. R., & Reid, D. (2020). Are fish sensitive to trawling recovering in the Northeast Atlantic?. <em>Journal of Applied Ecology</em>, <em>57</em>(10), 1936-1947. <br> STECF (2022). Validation of selected sustainability indicators and underlying methodologies for the revision of the EU marketing standards for fisheries products (STECF-22-12).
DOI: 10.11583/dtu.21063193.v1
title: Fish species sensitivity to fishing

description: Data on fish species sensitivity to fishing combining vulnerability from Cheung et al 2007 supplementary material and on precautionary fishing mortality in European waters from Rindorf et al 2020. Following STECF (2022), low sensitivity species are defined as species with a precautionary fishing mortality greater than 3 for the Rindorf et al data or with a vulnerability less than 40 for the Cheung data. Species with a high sensitivity are defined as species with a precautionary fishing mortality less than 0.41 for the Rindorf et al data or with a vulnerability greater than 70 for the Cheung data. Remaining species are defined as medium sensitivity. <br> Reference for the data and definitions: Cheung, W. W., Watson, R., Morato, T., Pitcher, T. J., & Pauly, D. (2007). Intrinsic vulnerability in the global fish catch. <em>Marine Ecology Progress Series</em>, <em>333</em>, 1-12. <br> Rindorf, A., Gislason, H., Burns, F., Ellis, J. R., & Reid, D. (2020). Are fish sensitive to trawling recovering in the Northeast Atlantic?. <em>Journal of Applied Ecology</em>, <em>57</em>(10), 1936-1947. <br> STECF (2022). Validation of selected sustainability indicators and underlying methodologies for the revision of the EU marketing standards for fisheries products (STECF-22-12)
DOI: 10.11583/dtu.21063193
title: Fish species sensitivity to fishing

description: Data by FAO area on fish species sensitivity to fishing combining vulnerability from Cheung et al 2007 supplementary material, precautionary fishing mortality in European waters from Rindorf et al 2020 and vulenaribility from Osio et al 2015. Following STECF (2022) and Osio 2015, low sensitivity species are defined as species with a precautionary fishing mortality greater than 3 for the Rindorf et al data, a vulnerability less than 40 for the Cheung data and less than 1.6 for the Osio et al. data. Species with a high sensitivity are defined as species with a precautionary fishing mortality less than 0.41 for the Rindorf et al data, a vulnerability greater than 70 for the Cheung data and greater than 2 for the Osio et al data. Remaining species are defined as medium sensitivity. Please cite original source for the data. <br> Reference for the data and definitions: <br> Cheung, W. W., Watson, R., Morato, T., Pitcher, T. J., & Pauly, D. (2007). Intrinsic vulnerability in the global fish catch. <em>Marine Ecology Progress Series</em>, <em>333</em>, 1-12. <br> Osio, G. C., Orio, A., & Millar, C. P. (2015). Assessing the vulnerability of Mediterranean demersal stocks and predicting exploitation status of un-assessed stocks.<em> Fisheries Research</em>, 171, 110-121. <br> Rindorf, A., Gislason, H., Burns, F., Ellis, J. R., & Reid, D. (2020). Are fish sensitive to trawling recovering in the Northeast Atlantic?. <em>Journal of Applied Ecology</em>, <em>57</em>(10), 1936-1947. <br> STECF (2022). Validation of selected sustainability indicators and underlying methodologies for the revision of the EU marketing standards for fisheries products (STECF-22-12).
DOI: 10.5517/ccdc.csd.cc2f84f9
title: CCDC 2242150: Experimental Crystal Structure Determination

description: Related Article: Jianjun Huang, Laurens Bourda, Samat Tusupbayev, Binbin Li, Yingchun Wang, Zhao-Guo Hong, Wei Zhang, Azat Makhmet, Anatoly A. Peshkov, Stepan Kashtanov, Mikhail Krasavin, Kristof Van Hecke, Olga P. Pereshivko, Vsevolod A. Peshkov|2023|Dyes Pigm.|217|111374|doi:10.1016/j.dyepig.2023.111374
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.cc2f84tp
title: CCDC 2242162: Experimental Crystal Structure Determination

description: Related Article: Jianjun Huang, Laurens Bourda, Samat Tusupbayev, Binbin Li, Yingchun Wang, Zhao-Guo Hong, Wei Zhang, Azat Makhmet, Anatoly A. Peshkov, Stepan Kashtanov, Mikhail Krasavin, Kristof Van Hecke, Olga P. Pereshivko, Vsevolod A. Peshkov|2023|Dyes Pigm.|217|111374|doi:10.1016/j.dyepig.2023.111374
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.cc2f88hh
title: CCDC 2242276: Experimental Crystal Structure Determination

description: Related Article: Jianjun Huang, Laurens Bourda, Samat Tusupbayev, Binbin Li, Yingchun Wang, Zhao-Guo Hong, Wei Zhang, Azat Makhmet, Anatoly A. Peshkov, Stepan Kashtanov, Mikhail Krasavin, Kristof Van Hecke, Olga P. Pereshivko, Vsevolod A. Peshkov|2023|Dyes Pigm.|217|111374|doi:10.1016/j.dyepig.2023.111374
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.