cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2g88cd
title: CCDC 2272063: Experimental Crystal Structure Determination

description: Related Article: Ritesh Dubey, Sandeep Singh|2023|CrystEngComm|25|5697|doi:10.1039/D3CE00672G
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: 10.5281/zenodo.10038860
title: Investigating Open Innovation Practices to Support Requirements Management in Software Ecosystems

description: Supplementary material.
DOI: 10.5281/zenodo.10038859
title: Investigating Open Innovation Practices to Support Requirements Management in Software Ecosystems

description: Supplementary material.
DOI: 10.5281/zenodo.7879594
title: Higher-order Mobility Flow Data

description: This dataset is a collection of higher-order mobility datasets, primarily aimed at trajectory data mining applications. These datasets have been created using the Point2Hex tool, allowing us to transform traditional GPS-based geolocations and check-in data into sequences of higher-order geometric elements, particularly hexagons. This transformation has various advantages, including reduced sparsity, analysis at different levels of granularity, improved compatibility with common machine learning architectures, enhanced generalization and overfitting reduction, and efficient visualization.


Seven popular mobility datasets, typically utilized in various trajectory-related tasks and technical problems, were subjected to this transformation process. These include applications like trajectory prediction, classification, clustering, imputation, and anomaly detection, among others.


To foster the culture of reusability and reproducibility, we are providing not only the transformed higher-order mobility flow datasets but also the source code for the Point2Hex tool and comprehensive documentation. This offering aims to streamline the generation process, ensuring that users have clear guidance on how to reproduce curated or customized versions of these datasets. The material is stored in publicly accessible repositories, ensuring its widespread accessibility.
description: Github repository: https://github.com/alifa98/point2hex
DOI: 10.5281/zenodo.7879595
title: Higher-order Mobility Flow Data

description: This dataset is a collection of higher-order mobility datasets, primarily aimed at trajectory data mining applications. These datasets have been created using the Point2Hex tool, allowing us to transform traditional GPS-based geolocations and check-in data into sequences of higher-order geometric elements, particularly hexagons. This transformation has various advantages, including reduced sparsity, analysis at different levels of granularity, improved compatibility with common machine learning architectures, enhanced generalization and overfitting reduction, and efficient visualization. Seven popular mobility datasets, typically utilized in various trajectory-related tasks and technical problems, were subjected to this transformation process. These include applications like trajectory prediction, classification, clustering, imputation, and anomaly detection, among others. To foster the culture of reusability and reproducibility, we are providing not only the transformed higher-order mobility flow datasets but also the source code for the Point2Hex tool and comprehensive documentation. This offering aims to streamline the generation process, ensuring that users have clear guidance on how to reproduce curated or customized versions of these datasets. The material is stored in publicly accessible repositories, ensuring its widespread accessibility.
description: Github repository: https://github.com/alifa98/point2hex
DOI: 10.5281/zenodo.8076553
title: Higher-order Mobility Flow Data

description: This dataset is a collection of higher-order mobility datasets, primarily aimed at trajectory data mining applications. These datasets have been created using the Point2Hex tool, allowing us to transform traditional GPS-based geolocations and check-in data into sequences of higher-order geometric elements, particularly hexagons. This transformation has various advantages, including reduced sparsity, analysis at different levels of granularity, improved compatibility with common machine learning architectures, enhanced generalization and overfitting reduction, and efficient visualization.


Seven popular mobility datasets, typically utilized in various trajectory-related tasks and technical problems, were subjected to this transformation process. These include applications like trajectory prediction, classification, clustering, imputation, and anomaly detection, among others.


To foster the culture of reusability and reproducibility, we are providing not only the transformed higher-order mobility flow datasets but also the source code for the Point2Hex tool and comprehensive documentation. This offering aims to streamline the generation process, ensuring that users have clear guidance on how to reproduce curated or customized versions of these datasets. The material is stored in publicly accessible repositories, ensuring its widespread accessibility.
description: Github repository: https://github.com/alifa98/point2hex
DOI: 10.5519/qd.3wl8m7hw
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (13 records)
DOI: 10.6084/m9.figshare.21393192
title: ANGRA: A plant trait database for grasslands and wooded grasslands of Anatolia

description: ANGRA is a plant trait database for Anatolian grasslands and wooded grasslands. The database is based on the Turkish flora book series of P. H. Davis (1965-1985) and includes records of 24 plant traits from 3516 plant taxa.
DOI: 10.34740/kaggle/dsv/6788929
title: BBC News
DOI: 10.34740/kaggle/dsv/6788943
title: Youtube Trending Video - Taiwan & Hong Kong
DOI: 10.57841/casdc.0002927
title: 提升管反应器流态化研究数据集
DOI: 10.18120/t9ym-z831
title: Subproject_Test
DOI: 10.6084/m9.figshare.24316951
title: Wu_S1P

description: Raw data for the manuscript "<b>Gut-Brain Sphingolipid Signaling Mediates Aversive Associative Memory in </b><b><i>C. elegans</i></b>"
DOI: 10.6084/m9.figshare.24416635
title: PECSS-CCS_ data.sav

description: dataset of Physical Education Course Satisfaction Scale for Chinese College Students(PECSS-CCS)
DOI: 10.6084/m9.figshare.24416635.v1
title: PECSS-CCS_ data.sav

description: dataset of Physical Education Course Satisfaction Scale for Chinese College Students(PECSS-CCS)
DOI: 10.5281/zenodo.10038868
title: O IMPACTO DA VIOLÊNCIA DOMÉSTICA NA SAÚDE DAS MULHERES: O PAPEL DO ENFERMEIRO NA IDENTIFICAÇÃO E INTERVENÇÃO NA ATENÇÃO PRIMÁRIA À SAÚDE

description: A violência doméstica, é de longe, o tipo mais prevalente de violência em todo o mundo, afetando cerca de 641 milhões de mulheres a cada ano. No Brasil, a Atenção Primária à Saúde é a porta de entrada para o Sistema Único de Saúde, portanto, se configura como um âmbito em potencial para o acolhimento e cuidado em saúde de mulheres vítimas de violência doméstica. O objetivo deste estudo é conhecer o papel da enfermagem na identificação precoce e no suporte adequado às mulheres vítimas de violência doméstica, visando contribuir para a melhoria da assistência e o fortalecimento do cuidado integral a essas mulheres. E para alcançar tais objetivos, determinou-se como metodologia a revisão bibliográfica nas bases de dados sciELO e Pubmed. Fizeram parte deste artigos, livros, manuais, protocolos e recomendações de orgãos nacionais e internacionais publicados entre 2002 a 2023 em língua inglesa e língua portuguesa. Portanto, o enfermeiro desempenha um papel relevante no acolhimento dessas vítimas por meio da escuta qualificada, além de fazer parte da equipe multidisciplinar que a atenderá essa mulher nos procedimentos médicos a serem realizados. Ademais, o enfermeiro é responsável pelas notificações dos casos, ajudando assim a construir o mapa epidemiológico desse problema no campo da saúde pública. Esse profissional também pode encorajar essa mulher a denunciar seu agressor por meio da rede de apoio que conta com psicólogos, assistenciais sociais, delegacia da mulher, entre outras instituições e profissionais.
DOI: 10.5281/zenodo.10038867
title: O IMPACTO DA VIOLÊNCIA DOMÉSTICA NA SAÚDE DAS MULHERES: O PAPEL DO ENFERMEIRO NA IDENTIFICAÇÃO E INTERVENÇÃO NA ATENÇÃO PRIMÁRIA À SAÚDE

description: A violência doméstica, é de longe, o tipo mais prevalente de violência em todo o mundo, afetando cerca de 641 milhões de mulheres a cada ano. No Brasil, a Atenção Primária à Saúde é a porta de entrada para o Sistema Único de Saúde, portanto, se configura como um âmbito em potencial para o acolhimento e cuidado em saúde de mulheres vítimas de violência doméstica. O objetivo deste estudo é conhecer o papel da enfermagem na identificação precoce e no suporte adequado às mulheres vítimas de violência doméstica, visando contribuir para a melhoria da assistência e o fortalecimento do cuidado integral a essas mulheres. E para alcançar tais objetivos, determinou-se como metodologia a revisão bibliográfica nas bases de dados sciELO e Pubmed. Fizeram parte deste artigos, livros, manuais, protocolos e recomendações de orgãos nacionais e internacionais publicados entre 2002 a 2023 em língua inglesa e língua portuguesa. Portanto, o enfermeiro desempenha um papel relevante no acolhimento dessas vítimas por meio da escuta qualificada, além de fazer parte da equipe multidisciplinar que a atenderá essa mulher nos procedimentos médicos a serem realizados. Ademais, o enfermeiro é responsável pelas notificações dos casos, ajudando assim a construir o mapa epidemiológico desse problema no campo da saúde pública. Esse profissional também pode encorajar essa mulher a denunciar seu agressor por meio da rede de apoio que conta com psicólogos, assistenciais sociais, delegacia da mulher, entre outras instituições e profissionais.
DOI: 10.5281/zenodo.7303546
title: The vertical profile of the dynamic TOI from double to single, TIEGCM

description: The simulation from TIEGCM to explore the roles of IMF By and Bz on the dynamic evolution of TOI from double to single at 300 and 500 km.
DOI: 10.5281/zenodo.10038904
title: The vertical profile of the dynamic TOI from double to single, TIEGCM

description: The simulation from TIEGCM to explore the roles of IMF By and Bz on the dynamic evolution of TOI from double to single at 300 and 500 km.
DOI: 10.5281/zenodo.7303545
title: The vertical profile of the dynamic TOI from double to single, TIEGCM

description: The simulation from TIEGCM to explore the roles of IMF By and Bz on the dynamic evolution of TOI from double to single at 300 and 500 km.
DOI: 10.5281/zenodo.10038919
title: The dynamic evolution of TOI: the altitudinal dependences

description: The data from TIEGCM
DOI: 10.6084/m9.figshare.24370354
title: Pipeline to quantify ribosome biogenesis activity

description: Pipeline to quantify ribosome biogenesis activity based on transcriptome expression data
DOI: 10.5517/ccdc.csd.cc2gl59k
title: CCDC 2281578: Experimental Crystal Structure Determination

description: Related Article: Magnus R. Buchner, Deniz F. Bekiş|2023|Dalton Trans.|52|13864|doi:10.1039/D3DT02702C
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.cc2gm8ft
title: CCDC 2282636: Experimental Crystal Structure Determination

description: Related Article: Zhifei Yan, Kristopher G. Reynolds, Rui Sun, Yongjin Shin, Agnes E. Thorarinsdottir, Miguel I. Gonzalez, Bryan Kudisch, Giulia Galli, Daniel G. Nocera|2023|J.Am.Chem.Soc.|145|22213|doi:10.1021/jacs.3c08144
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.cc2gmf6r
title: CCDC 2282784: Experimental Crystal Structure Determination

description: Related Article: Wei Feng, Chao Zhang, Xinlin Zhou, Kuiyi You, Guo-Jun Deng, Shanping Chen|2023|Org.Chem.Front.|10|5457|doi:10.1039/D3QO01274C
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.cc2gppyt
title: CCDC 2284977: Experimental Crystal Structure Determination

description: Related Article: Jonas Spengler, Chongwei Zhu, Kazutaka Shoyama, Frank Würthner|2023|Chemical Science|14|10861|doi:10.1039/D3SC04015A
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.cc2gqnf9
title: CCDC 2285891: Experimental Crystal Structure Determination

description: Related Article: Xu Zhang, Di Wang, Mengfan Chang, Wanya Wang, Zhi Shen, Xuefeng Xu|2023|Chem.Commun.|59|12326|doi:10.1039/D3CC03753C
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.cc2grs34
title: CCDC 2286966: Experimental Crystal Structure Determination

description: Related Article: Manzoor Zaman, Muhammad Hasan, Anatoly A. Peshkov, Aleksandra Puzyk, Yuqing Wang, Chang-Keun Lim, Olga P. Pereshivko, Vsevolod A. Peshkov|2023|Tetrahedron Lett.|130|154769|doi:10.1016/j.tetlet.2023.154769
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.cc2gsqyy
title: CCDC 2287891: Experimental Crystal Structure Determination

description: Related Article: Zhen Li, Xiao-Ming Zhang, Fu-Min Zhang, Yong-Qiang Tu|2023|Org.Lett.|25|7252|doi:10.1021/acs.orglett.3c02882
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.cc2gsqzz
title: CCDC 2287892: Experimental Crystal Structure Determination

description: Related Article: Zhen Li, Xiao-Ming Zhang, Fu-Min Zhang, Yong-Qiang Tu|2023|Org.Lett.|25|7252|doi:10.1021/acs.orglett.3c02882
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.cc2ggdp1
title: CCDC 2277963: Experimental Crystal Structure Determination

description: Related Article: Alejandro Orellana-Silla, Manuel Meneses-Sánchez, Rubén Turo-Cortés, Víctor Rubio-Giménez, Giel Arnauts, M. Carmen Muñoz, Rob Ameloot, Carlos Bartual-Murgui, José Antonio Real|2023|J.Mater.Chem.C|11|13905|doi:10.1039/D3TC02363J
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.cc2gvppq
title: CCDC 2289774: Experimental Crystal Structure Determination

description: Related Article: Preeti, Asif Raza, Amit Anand, Natacha Henry, Arun K. Sharma, Pascal Roussel, Vipan Kumar|2023|RSC Advances|13|28434|doi:10.1039/D3RA05869G
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.cc2gvprs
title: CCDC 2289776: Experimental Crystal Structure Determination

description: Related Article: Siqi Liu, Zhao Feng, Hongyan Wang, Huaiteng Hang, Daokun Zhong, Xiaolong Yang, Yuanhui Sun, Bochao Su, Xianbin Xu, Zhen Feng, Guijiang Zhou, Bo Jiao|2023|J.Mater.Chem.C|11|13824|doi:10.1039/D3TC02552G
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.cc2gx9b1
title: CCDC 2291313: Experimental Crystal Structure Determination

description: Related Article: Olga Bakhanovich, Blanka Klepetářová, Petr Beier|2023|Org.Biomol.Chem.|21|7924|doi:10.1039/D3OB01415K
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.cc29z0cp
title: CCDC 2144002: Experimental Crystal Structure Determination

description: Related Article: Changan Ji, Jie Yang, Siyi Hu, John Mack, Yongbo Zhang, Hua Lu, Lizhi Gai|2023|Dyes Pigm.|220|111707|doi:10.1016/j.dyepig.2023.111707
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.cc29z0bn
title: CCDC 2144001: Experimental Crystal Structure Determination

description: Related Article: Changan Ji, Jie Yang, Siyi Hu, John Mack, Yongbo Zhang, Hua Lu, Lizhi Gai|2023|Dyes Pigm.|220|111707|doi:10.1016/j.dyepig.2023.111707
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.cc2gz04m
title: CCDC 2292950: Experimental Crystal Structure Determination

description: Related Article: Xin-Yue Yuan, Yan Cheng, Jun Liu, Qi-Lei Sun, Fu-Min Xue|2023|CrystEngComm|25|5682|doi:10.1039/D3CE00762F
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.cc2dp88n
title: CCDC 2224971: Experimental Crystal Structure Determination

description: Related Article: Xin-Yue Yuan, Yan Cheng, Jun Liu, Qi-Lei Sun, Fu-Min Xue|2023|CrystEngComm|25|5682|doi:10.1039/D3CE00762F
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.cc2gptll
title: CCDC 2285090: Experimental Crystal Structure Determination

description: Related Article: Yi-Yang Chen, Zi-Yang Wang, Ya-Ru Liu, Xiao Zhang|2023|J.Solid State Chem.|328|124354|doi:10.1016/j.jssc.2023.124354
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.0002928
title: 浅深人造热储储存太阳热能用于供暖
DOI: 10.34740/kaggle/dsv/6789279
title: WallStreetBets 2022
DOI: 10.25340/r4/zds5h5
title: Related Data for: A multilevel description of textbook linguistic complexity across disciplines: Leveraging NLP to support disciplinary literacy

description: Disciplinary Literacy as a pedagogy and research program aims to understand and teach the linguistic differences amongst disciplines. Limited studies have been done, however, on the differing linguistic complexity demands of disciplines. In this study, linguistic complexity is measured at the clause, phrase and lexical levels, across eight disciplines represented by a corpus of secondary school textbooks. Innovative natural language processing systems extract an unprecedented number of complexity measures, and discriminant function analysis describes features that best differentiate disciplinary writing. Results indicate disciplines vary along different clines of complexity. The first tends to discriminate humanities from science subjects, along features such as academic phraseology, possessive noun phrases, auxiliary verbs and clause dependents. Other clines show that subjects such as history and physics can be similarly complex in features such as their prepositional expansion of noun phrases. The paper concludes with detailed and specific pedagogical takeaways for teachers.