cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/8293vdr5my.1
title: Histopathological changes in placenta in late IUFD cases

description: My Research question was "Does placenta of late intrauterine fetal death exhibits any specific histopathological changes?" Objectives were: a) To evaluate placental histopathological changes in late IUFD. b) Staging of maternal & fetal inflammatory responses found in placenta of late IUFD. c) To interpret the immunohistochemical expression of CD15 in placenta in some selected late IUFD cases and its grading. d) To see the association between CD15 immunopositivity and delayed villous maturation in placenta of late IUFD cases. A cross sectional study was carried out in the Department of Pathology, SSMC among the late IUFD cases in the Obstetrics and Gynecology department of Sir Salimullah Medical College Mitford Hospital, Dhaka during March 2021 to January 2023. A total of 80 admitted cases of diagnosed late IUFDs were included in this study. Pregnant women aged between 19 to 44 years and presented at or after 28 completed weeks of gestation were enrolled in this study. Written consent was taken from those who agreed to participate in the study. Respective placentas of the deadborns were histopathologically analyzed and CD15 immunohistochemical expression was observed in selected cases. Statistical analyses of the results were obtained by using window based computer software devised with Statistical Packages for Social Sciences (SPSS-26). This data stated that late IUFD do have significant placental histopathological abnormalities & distinctive pattern of CD15 immunohistochemical expression.
DOI: 10.26180/24297571
title: Data archive: Variation in plasticity in response to combined thermal-nutritional stress is genetically independent between sexes and across traits

description: This contains datasets, R code and R.data for this manuscrpt.
DOI: 10.26180/24297571.v1
title: Data archive: Variation in plasticity in response to combined thermal-nutritional stress is genetically independent between sexes and across traits

description: This contains datasets, R code and R.data for this manuscrpt.
DOI: 10.4121/1a723aee-a309-43a3-8d62-1cb68be6cff6.v1
title: Data underlying the manuscript: Quantifying landfill emission potential using a weakly coupled particle filter

description: Repository for manuscript: Quantifying landfill emission potential using a weaklycoupled particle filter. It includes the input and measurement data (rainfall, EV, outflow, concentration), the model scripts in folder landfillmodules, the data assimilation scripts in folder BB11Z_noexchange. To use the script, you need to run the code following the description in the manuscript. The current zip file already includes all the generated model output files. You can find them in subfolders like plots, process_data. In subfolder results_2TTc, there are the optimization results from DREAM. We call them in script a_ to create synthetic truth.
DOI: 10.6084/m9.figshare.24297658
title: Causal Relationships Between Gut Microbiota, Gut Metabolites, and Frailty Index: A Mendelian Randomization Study

description: Causal Relationships Between Gut Microbiota, Gut Metabolites, and Frailty Index: A Mendelian Randomization Study
DOI: 10.6084/m9.figshare.24297658.v1
title: Causal Relationships Between Gut Microbiota, Gut Metabolites, and Frailty Index: A Mendelian Randomization Study

description: Causal Relationships Between Gut Microbiota, Gut Metabolites, and Frailty Index: A Mendelian Randomization Study
DOI: 10.21227/tb9a-bm37
title: Flappy Bird

description: The extreme challenge presented by Flappy Bird is undoubtedly one of the game's defining traits. The gameplay of the game is notoriously difficult, and players frequently have trouble keeping the bird in the air while also avoiding the various hazards. As a consequence of this, a lot of players were addicted to the game, always striving to beat their own or other people's high scores and bragging about it on social media.Additionally, the game gained popularity due to its simplistic aesthetics, which included pixel art and straightforward animations. This provided the game with a vintage and quaint atmosphere. Flappy Bird was eventually withdrawn from app stores in 2014 by the game's creator, Dong Nguyen. He did so claiming the addictive nature of the game as well as the bad impact it had on his life. However, the game's popularity and legacy persisted, as evidenced by the creation of a large number of clones and spin-offs by other creators.
DOI: 10.5281/zenodo.4434245
title: The network data set used in the article "Separating Controversy from Noise: Comparison and Normalization of Structural Polarization Measures"

description: <strong>The data for "Separating Controversy from Noise: Comparison and Normalization of Structural Polarization Measures" -paper</strong> The data set is described in the article [1] and [2]. Please cite the original article(s) when using this data set. The data set consists of 183 topic endorsement networks inferred from Twitter interactions during the 2019 Finnish Elections. Nodes are accounts and undirected ties indicate uni- or bi-directional endorsement via retweets on the given topic. Please see the references for details. No identifying information nor original raw data from the Twitter platform is included here. See the <em>network_info.csv</em> for more details on each network. The "_p1" extension in the filename means that the network was built based on tweets from period 1 (similar for "_p2" and "_p3"). More details about the periods in [1]. The networks are formatted as edge lists, where each row in the file is an edge connecting the two nodes indicated by the two numbers separated by a whitespace. [1] Chen, Ted Hsuan Yun, et al. "Polarization of Climate Politics Results from Partisan Sorting: Evidence from Finnish Twittersphere." arXiv preprint arXiv:2007.02706 (2020). [2] Salloum, Ali, et al. "Separating Controversy from Noise: Comparison and Normalization of Structural Polarization Measures" arXiv preprint https://arxiv.org/abs/2101.07009 (2021)
description: {"references": ["Chen, Ted Hsuan Yun, et al. \"Polarization of Climate Politics Results from Partisan Sorting: Evidence from Finnish Twittersphere.\" arXiv preprint arXiv:2007.02706 (2020)", "Salloum, Ali, et al.\u00a0\"Separating Controversy from Noise: Comparison and Normalization of Structural Polarization Measures\" (2021)"]}
DOI: 10.57841/casdc.0002884
title: 超高功率密度可再生能源并联构网型变流器数据集
DOI: 10.6084/m9.figshare.23634822
title: European Grain Legume Dataset

description: In this dataset we collected the grain yields of the most cultivated legumes across European countries, from both published scientific papers and unpublished experiments of the European projects LegValue and Legato.
DOI: 10.6084/m9.figshare.23634831.v1
title: List of sources

description: The file provides the list of the sources where the data were collected from.
DOI: 10.6084/m9.figshare.23634828
title: Instructions for the dataset

description: The file reports the list and a brief description and the assumptions for each column (category) for the reader’s guidance, to facilitate data entry operations as well as to inform the proper interpretation of the data.
DOI: 10.6084/m9.figshare.23634831
title: List of sources

description: The file provides the list of the sources where the data were collected from.
DOI: 10.6084/m9.figshare.23634834
title: Instructions for the dataset

description: The file (csv version, comma separated) reports the list and a brief description and the assumptions for each column (category) for the reader’s guidance, to facilitate data entry operations as well as to inform the proper interpretation of the data.
DOI: 10.6084/m9.figshare.23634837
title: List of sources

description: The file (csv version, comma separated) provides the list of the sources where the data were collected from.
DOI: 10.6084/m9.figshare.23634828.v1
title: Instructions for the dataset

description: The file reports the list and a brief description and the assumptions for each column (category) for the reader’s guidance, to facilitate data entry operations as well as to inform the proper interpretation of the data.
DOI: 10.6084/m9.figshare.23634834.v1
title: Instructions for the dataset

description: The file (csv version, comma separated) reports the list and a brief description and the assumptions for each column (category) for the reader’s guidance, to facilitate data entry operations as well as to inform the proper interpretation of the data.
DOI: 10.6084/m9.figshare.23634837.v1
title: List of sources

description: The file (csv version, comma separated) provides the list of the sources where the data were collected from.
DOI: 10.6084/m9.figshare.23634858
title: R script Figure 2

description: This file includes the script of the open-access R-software for the generation of Figure 2 included in the paper.
DOI: 10.6084/m9.figshare.23634858.v1
title: R script Figure 2

description: This file includes the script of the open-access R-software for the generation of Figure 2 included in the paper.
DOI: 10.6084/m9.figshare.23634864
title: R script Figure 4

description: This file includes the script of the open-access R-software for the generation of Figure 4 included in the paper.
DOI: 10.6084/m9.figshare.23634864.v1
title: R script Figure 4

description: This file includes the script of the open-access R-software for the generation of Figure 4 included in the paper.
DOI: 10.6084/m9.figshare.23634867
title: R script Figure 5b

description: This file includes the script of the open-access R-software for the generation of Figure 5b included in the paper.
DOI: 10.6084/m9.figshare.23634867.v1
title: R script Figure 5b

description: This file includes the script of the open-access R-software for the generation of Figure 5b included in the paper.
DOI: 10.6084/m9.figshare.23634870
title: R script Figures 3 and 5a

description: This file includes the script of the open-access R-software for the generation of Figures 3 and 5a included in the paper.
DOI: 10.6084/m9.figshare.23634870.v1
title: R script Figures 3 and 5a

description: This file includes the script of the open-access R-software for the generation of Figures 3 and 5a included in the paper.
DOI: 10.57841/casdc.0002885
title: 超级电容器制程测试、软包超级电容器测试及超级电容器工艺制程数据集
DOI: 10.21227/rqeg-ce96
title: Eggy Car

description: Eggy Car is a visually appealing and fascinating video game that you can play online. The preceding types of games cannot be compared to this one.You have no choice but to navigate the winding route while carrying an egg in the car.The basics of this game are straightforward, but the real problem lies in figuring out how to move the car while the egg is still inside it intact and unbreakable. Chicks very fragile and can easily be knocked over or smashed.This is an explanation for why this game is about speed; however, it is not like a conventional game in which you strive to travel as quickly as possible; rather, the purpose of this game is to drive slowly enough and control speed in such a way that an egg remains uninjured.To gain access to a formula, van, truck, or new car higher in the game, collect the coin along the road. In along with that, it provides several features for the many ways in which you can collect. For example, while you are collecting diamonds, your egg will be frozen, allowing you to move quickly without it breaking, or while you are collecting magnets, all of the money will be drawn to the magnets.
DOI: 10.5281/zenodo.8433998
title: Gestão de Projetos de Tecnologias e Sistemas de Informação: Investigação realizada em Portugal no Período 1998-2022 (dataset dos artigos selecionados).

description: Dataset produzido pelo grupo de trabalho (subgrupo Investigação) de Gestão de Projetos de Sistemas de Informação (GPSI) da Associação Portuguesa de Sistemas de Informação (APSI) ao longo de 2023. Dataset disponibilizado em formato MS-Excel e descrito no artigo "Gestão de Projetos de Tecnologias e Sistemas de Informação: Investigação realizada em Portugal no Período 1998-2022 (com dataset dos artigos selecionados)", que o complementa.
DOI: 10.5281/zenodo.8433999
title: Gestão de Projetos de Tecnologias e Sistemas de Informação: Investigação realizada em Portugal no Período 1998-2022 (dataset dos artigos selecionados).

description: Dataset produzido pelo grupo de trabalho (subgrupo Investigação) de Gestão de Projetos de Sistemas de Informação (GPSI) da Associação Portuguesa de Sistemas de Informação (APSI) ao longo de 2023. Dataset disponibilizado em formato MS-Excel e descrito no artigo "Gestão de Projetos de Tecnologias e Sistemas de Informação: Investigação realizada em Portugal no Período 1998-2022 (com dataset dos artigos selecionados)", que o complementa.
DOI: 10.57841/casdc.0002886
title: 反应烧结(Mn,Co)3O4尖晶石层在SOFC阴极侧接触应用中的评价
DOI: 10.5281/zenodo.8091721
title: Code and data: Exploring congruent diversification histories with flexibility and parsimony

description: This repository contains the code and data for the article "Exploring congruent diversification histories with flexibility and parsimony" (abstract bellow). Data : <strong>4705sp_mammal-time.tree</strong>: Species-level calibrated mammalian phylogeny from <em>Alvarez-Carretero et al. </em>(https://doi.org/10.6084/m9.figshare.14885691) <strong>mammals_samplingfraction.csv</strong> : Clade-specific sampling fractions from <em>Quintero et al.</em>(https://www.biorxiv.org/content/10.1101/2022.08.09.503355v1.full). Code : <strong>Mammalian_rates_EBD.rev</strong>: <em>Rev</em> script for the mammalian diversification analysis in RevBayes. <strong>Mammals_proccess_RevBayes_outputs.Rmd</strong>: R notebook for processing the outputs from the RevBayes mammalian diversification analysis, plotting the rates through time, and saving the median trajectories used for further analyses. <strong>Exploring_congruent_diversification_histories_with_flexibility_and_parsimony.Rmd</strong>: R notebook for comparing the initial CRABS features and our new extensions. It enables replicating the figures in the article. Outputs : <strong>output_inferredIntervals_CSrho.zip</strong>: The raw traces from the RevBayes analysis, and the resulting median rate trajectories that are used to construct the congruence class illustrated in the article. <br> Abstract Using phylogenies of present-day species to estimate diversification rate trajectories -- speciation and extinction rates over time -- is a challenging task due to non-identifiability issues. Given a phylogeny, there exists an infinite set of trajectories that result in the same likelihood; this set has been coined a congruence class. Previous work has developed approaches for sampling trajectories within a given congruence class, and suggested that rapid changes in speciation or extinction rates are conserved across the class. We introduce a new method for exploring congruence classes, that we implement in the R package CRABS. Whereas existing methods constrain either the speciation rate or the extinction rate trajectory, ours provides more flexibility by sampling speciation and extinction rate trajectories simultaneously. We also implement a filtering step that allows selecting the most parsimonious trajectories within a class. We demonstrate the utility of our new sampling strategy using a simulated scenario. Next, we apply our approach to the study of mammalian diversification history. We show that rapid changes in speciation and extinction rates need not be conserved across a congruence class, but that selecting the most parsimonious trajectories shrinks the class to concordant scenarios. Our approach opens new avenues both to truly explore the myriad of potential diversification histories consistent with a given phylogeny, embracing the uncertainty inherent to phylogenetic diversification models, and to select among these different histories. This should help refining our inference of diversification trajectories from extant data.
DOI: 10.6084/m9.figshare.23585247.v2
title: Ellobium chinense Genome assembly and annotation

description: Assembled genome sequence of Ellobium chinense.
DOI: 10.5517/ccdc.csd.cc2b7zl5
title: CCDC 2152627: Experimental Crystal Structure Determination

description: Related Article: Yongda Zhang, Eugene Chong, Jada A. H. White, Suttipol Radomkit, Yibo Xu, Stephanie Kosnik, Jon Lorenz, Jeff S. Song|2023|CSD Communication|||
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.cc2d2wp2
title: CCDC 2207314: Experimental Crystal Structure Determination

description: Related Article: Valerio Giuso, Jeannine Yang, Jérémy Forté, Héloïse Dossmann, Chantal Daniel, Christophe Gourlaouen, Matteo Mauro, Benoît Bertrand|2023|ChemPlusChem|88|e202300303|doi:10.1002/cplu.202300303
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.cc2d2wq3
title: CCDC 2207315: Experimental Crystal Structure Determination

description: Related Article: Valerio Giuso, Jeannine Yang, Jérémy Forté, Héloïse Dossmann, Chantal Daniel, Christophe Gourlaouen, Matteo Mauro, Benoît Bertrand|2023|ChemPlusChem|88|e202300303|doi:10.1002/cplu.202300303
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.cc2d2wr4
title: CCDC 2207316: Experimental Crystal Structure Determination

description: Related Article: Valerio Giuso, Jeannine Yang, Jérémy Forté, Héloïse Dossmann, Chantal Daniel, Christophe Gourlaouen, Matteo Mauro, Benoît Bertrand|2023|ChemPlusChem|88|e202300303|doi:10.1002/cplu.202300303
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.cc2f6n4g
title: CCDC 2240715: Experimental Crystal Structure Determination

description: Related Article: Daniel Kamzol, Maxime Neuville, Chloé Cocaud, Killian Tiger, Baptiste Taffoureau, Krzysztof Lewiński, Justyna Jaszczyk, Olivier R. Martin, Sebastian Baś, Sylvain Routier, Isabelle Gillaizeau, Frédéric Buron, Cyril Nicolas|2023|Eur.J.Org.Chem.|26|e202300762|doi:10.1002/ejoc.202300762
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.cc2f744z
title: CCDC 2241180: Experimental Crystal Structure Determination

description: Related Article: Ramkumar Kannan|2023|CSD Communication|||
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.cc2f7472
title: CCDC 2241183: Experimental Crystal Structure Determination

description: Related Article: Ramkumar Kannan|2023|CSD Communication|||
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.cc2f7461
title: CCDC 2241182: Experimental Crystal Structure Determination

description: Related Article: Ramkumar Kannan|2023|CSD Communication|||
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.cc2f7450
title: CCDC 2241181: Experimental Crystal Structure Determination

description: Related Article: Ramkumar Kannan|2023|CSD Communication|||
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: 10.57841/casdc.0002887
title: 熔盐合成Nb掺杂(La, Sr)FeO3作为可逆固体氧化物电池氧电极测试数据集
DOI: 10.57841/casdc.0002888
title: 固体氧化物电解池零件测试数据集
DOI: 10.14457/tu.the.2022.1237
title: A corpus-based study of English synonyms: convince and persuade

description: This study investigates two synonymous verbs, "convince" and "persuade," focusing on their similarities and differences in terms of definitions, distribution across genres in relation to frequency of occurrence and degree of formality, noun collocations in relation to semantic preference, and grammatical patterns. To review their definitions and usage examples, three online dictionaries were consulted. The Corpus of Contemporary American English (COCA) was utilized to explore distribution across genres, noun collocations, and grammatical patterns. The findings of this study indicate that "convince" and "persuade" share similar core meanings but have subtle differences in their definitions. In terms of distribution across genres, "persuade" is predominantly used in formal contexts, such as newspapers, magazines, and academic texts, while "convince" is more prevalent in non-formal contexts like blogs, web pages, and spoken genres. Based on these results, it can be concluded that "persuade" exhibits a stronger degree of formality compared to "convince." Additionally, both verbs commonly collocate with object nouns and share similar noun collocates and semantic preference themes. Regarding grammatical patterns, these two synonyms display similarities; however, there is a significant difference in the frequency of occurrence. "Convince" is more frequently used with "that clauses," while "persuade" is typically found with "to" infinitives. Therefore, while "convince" and "persuade" are near-synonyms, they cannot be used interchangeably in all contexts. The results of this research will be beneficial for English as a Foreign Language (EFL) learners, enabling them to utilize these synonyms effectively for communication purposes.