cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2bl5x1
title: CCDC 2162433: Experimental Crystal Structure Determination

description: Related Article: Wenwen Cui, Xufeng Li, Guoju Guo, Xiuyan Song, Jian Lv, Daoshan Yang|2022|Org.Lett.|24|5391|doi:10.1021/acs.orglett.2c02078
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.cc2bqszv
title: CCDC 2166868: Experimental Crystal Structure Determination

description: Related Article: Wenwen Cui, Xufeng Li, Guoju Guo, Xiuyan Song, Jian Lv, Daoshan Yang|2022|Org.Lett.|24|5391|doi:10.1021/acs.orglett.2c02078
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.6941400
title: Respuestas de la encuesta "Necesidad y uso de datos abiertos en investigaciones, y en particular en investigaciones en educación"

description: El estudio tuvo como objetivo recabar información sobre el conocimiento, la necesidad y el uso de datos abiertos de investigaciones. En particular, focalizamos en investigaciones en educación. Esta encuesta fue anónima y tuvo como fin trabajar en un diagnóstico sobre las prácticas de Datos Abiertos en el ámbito de investigaciones en educación en la comunidad Latinoamericana y del Caribe.
DOI: 10.5281/zenodo.6941399
title: Respuestas de la encuesta "Necesidad y uso de datos abiertos en investigaciones, y en particular en investigaciones en educación"

description: El estudio tuvo como objetivo recabar información sobre el conocimiento, la necesidad y el uso de datos abiertos de investigaciones. En particular, focalizamos en investigaciones en educación. Esta encuesta fue anónima y tuvo como fin trabajar en un diagnóstico sobre las prácticas de Datos Abiertos en el ámbito de investigaciones en educación en la comunidad Latinoamericana y del Caribe.
DOI: 10.6084/m9.figshare.20405484
title: Student Evaluations of Mentors 2019

description: Student evaluations of mentors 2019.
DOI: 10.6084/m9.figshare.20405484.v1
title: Student Evaluations of Mentors 2019

description: Student evaluations of mentors 2019.
DOI: 10.5281/zenodo.6941432
title: Pseudomimeciton antennatum decontaminated gx

description: .
DOI: 10.5281/zenodo.6941431
title: Pseudomimeciton antennatum decontaminated gx

description: .
DOI: 10.5281/zenodo.6884738
title: Supplementary Table S2

description: Supplementary Table S2
DOI: 10.5281/zenodo.6884737
title: Supplementary Table S2

description: Supplementary Table S2
DOI: 10.5281/zenodo.6884711
title: Supplementary Table S1

description: Supplementary Table S1
DOI: 10.5281/zenodo.6884710
title: Supplementary Table S1

description: Supplementary Table S1
DOI: 10.5517/ccdc.csd.cc20ytc5
title: CCDC 1875697: Experimental Crystal Structure Determination

description: Related Article: Mohammad Zafar, Asif Ahmad, Suvam Saha, Rongala Ramalakshmi, Thierry Roisnel, Sundargopal Ghosh|2022|Chemical Science|13|8567|doi:10.1039/D2SC00907B
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.cc24lr1k
title: CCDC 1984218: Experimental Crystal Structure Determination

description: Related Article: Mohammad Zafar, Asif Ahmad, Suvam Saha, Rongala Ramalakshmi, Thierry Roisnel, Sundargopal Ghosh|2022|Chemical Science|13|8567|doi:10.1039/D2SC00907B
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.cc26hmbp
title: CCDC 2040802: Experimental Crystal Structure Determination

description: Related Article: Mohammad Zafar, Asif Ahmad, Suvam Saha, Rongala Ramalakshmi, Thierry Roisnel, Sundargopal Ghosh|2022|Chemical Science|13|8567|doi:10.1039/D2SC00907B
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.cc27w4z8
title: CCDC 2081680: Experimental Crystal Structure Determination

description: Related Article: Liangkun Yang, Wang-Yuren Li, Liuzhen Hou, Tangyu Zhan, Weidi Cao, Xiaohua Liu, Xiaoming Feng|2022|Chemical Science|13|8576|doi:10.1039/D2SC02721F
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.cc28nz86
title: CCDC 2105528: Experimental Crystal Structure Determination

description: Related Article: Xinkun Ren, Ajay L. Chandgude, Daniela M. Carminati, Zhuofan Shen, Sagar D. Khare, Rudi Fasan|2022|Chemical Science|13|8550|doi:10.1039/D2SC01965E
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.cc29d7pn
title: CCDC 2126931: Experimental Crystal Structure Determination

description: Related Article: Asif Ahmad|2021|CSD Communication|||
description: Related Article: Mohammad Zafar, Asif Ahmad, Suvam Saha, Rongala Ramalakshmi, Thierry Roisnel, Sundargopal Ghosh|2022|Chemical Science|13|8567|doi:10.1039/D2SC00907B
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.cc29hrbx
title: CCDC 2130299: Experimental Crystal Structure Determination

description: Related Article: Liangkun Yang, Wang-Yuren Li, Liuzhen Hou, Tangyu Zhan, Weidi Cao, Xiaohua Liu, Xiaoming Feng|2022|Chemical Science|13|8576|doi:10.1039/D2SC02721F
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.cc2b6b85
title: CCDC 2151036: Experimental Crystal Structure Determination

description: Related Article: Janis V. Musso, Jordan De Jesus Silva, Mathis J. Benedikter, Jonas Groos, Wolfgang Frey, Christophe Copéret, Michael R. Buchmeiser|2022|Chemical Science|13|8649|doi:10.1039/D2SC03321F
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.cc2b6b96
title: CCDC 2151037: Experimental Crystal Structure Determination

description: Related Article: Janis V. Musso, Jordan De Jesus Silva, Mathis J. Benedikter, Jonas Groos, Wolfgang Frey, Christophe Copéret, Michael R. Buchmeiser|2022|Chemical Science|13|8649|doi:10.1039/D2SC03321F
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.cc2c12n5
title: CCDC 2175786: Experimental Crystal Structure Determination

description: Related Article: Alisha Rani Tripathy, Amit Kumar, Rizwana Rahmathulla A, Avishek Kumar Jha, Veera Reddy Yatham|2022|Org.Lett.|24|5186|doi:10.1021/acs.orglett.2c02018
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.cc2c12p6
title: CCDC 2175787: Experimental Crystal Structure Determination

description: Related Article: Alisha Rani Tripathy, Amit Kumar, Rizwana Rahmathulla A, Avishek Kumar Jha, Veera Reddy Yatham|2022|Org.Lett.|24|5186|doi:10.1021/acs.orglett.2c02018
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.cc2c12q7
title: CCDC 2175788: Experimental Crystal Structure Determination

description: Related Article: Alisha Rani Tripathy, Amit Kumar, Rizwana Rahmathulla A, Avishek Kumar Jha, Veera Reddy Yatham|2022|Org.Lett.|24|5186|doi:10.1021/acs.orglett.2c02018
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.cc2c13m5
title: CCDC 2175816: Experimental Crystal Structure Determination

description: Related Article: Shweta Kalra, Daniel Pividori, Dominik Fehn, Chenshu Dai, Shicheng Dong, Shenglai Yao, Jun Zhu, Karsten Meyer, Matthias Driess|2022|Chemical Science|13|8634|doi:10.1039/D2SC03352F
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.cc2c13n6
title: CCDC 2175817: Experimental Crystal Structure Determination

description: Related Article: Shweta Kalra, Daniel Pividori, Dominik Fehn, Chenshu Dai, Shicheng Dong, Shenglai Yao, Jun Zhu, Karsten Meyer, Matthias Driess|2022|Chemical Science|13|8634|doi:10.1039/D2SC03352F
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.cc2c13p7
title: CCDC 2175818: Experimental Crystal Structure Determination

description: Related Article: Shweta Kalra, Daniel Pividori, Dominik Fehn, Chenshu Dai, Shicheng Dong, Shenglai Yao, Jun Zhu, Karsten Meyer, Matthias Driess|2022|Chemical Science|13|8634|doi:10.1039/D2SC03352F
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.cc2c13q8
title: CCDC 2175819: Experimental Crystal Structure Determination

description: Related Article: Shweta Kalra, Daniel Pividori, Dominik Fehn, Chenshu Dai, Shicheng Dong, Shenglai Yao, Jun Zhu, Karsten Meyer, Matthias Driess|2022|Chemical Science|13|8634|doi:10.1039/D2SC03352F
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.6941447
title: Platyura marginata decontaminated gx

description: .
DOI: 10.5281/zenodo.6941446
title: Platyura marginata decontaminated gx

description: .
DOI: 10.5281/zenodo.6762109
title: Data for HDStIM Paper

description: Data to reproduce figures presented in the paper describing HDStIM https://cran.r-project.org/package=HDStIM.
DOI: 10.5281/zenodo.6762108
title: Data for HDStIM Paper

description: Data to reproduce figures presented in the paper describing HDStIM https://cran.r-project.org/package=HDStIM.
DOI: 10.6084/m9.figshare.13752001
title: Finnish Translation of SSQ-P

description: <b>SSQ-P Finnish Translation</b> is a translation made from English into Finnish language of the questionnaire "The Speech, Spatial, and Qualities of Hearing Scale (SSQ) for Parents of Children with Impaired Hearing". <br>Associate Professor Karyn Galvin, The University of Melbourne, has modified the SSQ-P (described here: DOI: 10.1179/1754762812Y.0000000014) from the adult SSQ which was developed by William Noble and Stuart Gatehouse (https://doi.org/10.1080/14992020400050014 and https://doi.org/10.1080/14992020400050015). Assoc. Prof. Galvin has authorized Kerttu Huttunen and Anna Kiviniemi-Pulli to translate the questionnaire into Finnish. <br>Standard procedure of forward-backward translation has been conducted with translations made into the native language of the translations. Language revision agency was used in making the back translation. A three-member expert group has compared the original English version with the back translation.
DOI: 10.6084/m9.figshare.13752001.v1
title: Finnish Translation of SSQ-P

description: <b>SSQ-P Finnish Translation</b> is a translation made from English into Finnish language of the questionnaire "The Speech, Spatial, and Qualities of Hearing Scale (SSQ) for Parents of Children with Impaired Hearing". <br>Associate Professor Karyn Galvin, The University of Melbourne, has modified the SSQ-P (described here: DOI: 10.1179/1754762812Y.0000000014) from the adult SSQ which was developed by William Noble and Stuart Gatehouse (https://doi.org/10.1080/14992020400050014 and https://doi.org/10.1080/14992020400050015). Assoc. Prof. Galvin has authorized Kerttu Huttunen and Anna Kiviniemi-Pulli to translate the questionnaire into Finnish. <br>Standard procedure of forward-backward translation has been conducted with translations made into the native language of the translations. Language revision agency was used in making the back translation. A three-member expert group has compared the original English version with the back translation.
DOI: 10.25919/y32f-1x47
title: Parkes observations for project P595 semester 2022APRS_08

description: We propose to continue the PULSE@Parkes project in which high school students from Australia and around the World use the Parkes radio telescope in a remote observing model to observe and analyse pulsar data. The data from some PULSE@Parkes observations are used to support the space missions, other observations supplement the P456 Pulsar Timing Array project and the remainder were chosen in order to make a detailed analysis of pulsar timing irregularities and intermittency.
DOI: 10.1184/r1/19663527
title: Comparative Computational Study to Augment UbiA prenyltransferases Inherent in Purple Photosynthetic Bacteria Isolated from Mangrove Microbial Mats in Qatar for Coenzyme Q10 biosynthesis.

description: This is the Supplemental Material for the Manuscript titled - Comparative Computational Study to Augment UbiA prenyltransferases Inherent in Purple Photosynthetic Bacteria Isolated from Mangrove Microbial Mats in Qatar for Coenzyme Q10 biosynthesis.
DOI: 10.1184/r1/19663527.v3
title: Comparative Computational Study to Augment UbiA prenyltransferases Inherent in Purple Photosynthetic Bacteria Isolated from Mangrove Microbial Mats in Qatar for Coenzyme Q10 biosynthesis.

description: This is the Supplemental Material for the Manuscript titled - Comparative Computational Study to Augment UbiA prenyltransferases Inherent in Purple Photosynthetic Bacteria Isolated from Mangrove Microbial Mats in Qatar for Coenzyme Q10 biosynthesis.
DOI: 10.1184/r1/19663527.v2
title: Comparative Computational Study to Augment UbiA prenyltransferases Inherent in Purple Photosynthetic Bacteria Isolated from Mangrove Microbial Mats in Qatar for Coenzyme Q10 biosynthesis.

description: This is the Supplemental Material for the Manuscript titled - <strong>Comparative Computational Study to Augment UbiA prenyltransferases Inherent in Purple Photosynthetic Bacteria Isolated from Mangrove Microbial Mats in Qatar for Coenzyme Q10 biosynthesis.</strong>
DOI: 10.5281/zenodo.6941529
title: Nematostella OA

description: Nematostella OA
DOI: 10.6084/m9.figshare.20405664
title: Precovid and Covid all visits.xlsx

description: Dataset regarding intravitreal injection before and during COVID-19 epidemic
DOI: 10.6084/m9.figshare.20405664.v1
title: Precovid and Covid all visits.xlsx

description: Dataset regarding intravitreal injection before and during COVID-19 epidemic
DOI: 10.5281/zenodo.6812028
title: ConPlag: a Dataset of Programming Contest Plagiarism in Java

description: This package presents ConPlag, the first dataset of programming contest plagiarism in Java. To find the details about how to use the dataset and how to run tools on it, please refer to the README.
DOI: 10.5281/zenodo.6812027
title: ConPlag: a Dataset of Programming Contest Plagiarism in Java

description: This package presents ConPlag, the first dataset of programming contest plagiarism in Java. To find the details about how to use the dataset and how to run tools on it, please refer to the README.
DOI: 10.6084/m9.figshare.20405675
title: Ultra-Fast Approximate Inference Using Variational Functional Mixed Models

description: While Bayesian functional mixed models have been shown effective to model functional data with various complex structures, their application to extremely high-dimensional data is limited due to computational challenges involved in posterior sampling. We introduce a new computational framework that enables ultra-fast approximate inference for high-dimensional data in functional form. This framework adopts parsimonious basis to represent functional observations, which facilitates efficient compression and parallel computing in basis space. Instead of performing expensive Markov chain Monte Carlo sampling, we approximate the posterior distribution using variational Bayes and adopt a fast iterative algorithm to estimate parameters of the approximate distribution. Our approach facilitates a fast multiple testing procedure in basis space, which can be used to identify significant local regions that reflect differences across groups of samples. We perform two simulation studies to assess the performance of approximate inference, and demonstrate applications of the proposed approach by using a proteomic mass spectrometry dataset and a brain imaging dataset. Supplementary materials are available online.
DOI: 10.6084/m9.figshare.20405675.v1
title: Ultra-Fast Approximate Inference Using Variational Functional Mixed Models

description: While Bayesian functional mixed models have been shown effective to model functional data with various complex structures, their application to extremely high-dimensional data is limited due to computational challenges involved in posterior sampling. We introduce a new computational framework that enables ultra-fast approximate inference for high-dimensional data in functional form. This framework adopts parsimonious basis to represent functional observations, which facilitates efficient compression and parallel computing in basis space. Instead of performing expensive Markov chain Monte Carlo sampling, we approximate the posterior distribution using variational Bayes and adopt a fast iterative algorithm to estimate parameters of the approximate distribution. Our approach facilitates a fast multiple testing procedure in basis space, which can be used to identify significant local regions that reflect differences across groups of samples. We perform two simulation studies to assess the performance of approximate inference, and demonstrate applications of the proposed approach by using a proteomic mass spectrometry dataset and a brain imaging dataset. Supplementary materials are available online.
DOI: 10.6084/m9.figshare.20102854
title: <i>K</i>-CDFs: A Nonparametric Clustering Algorithm via Cumulative Distribution Function

description: We propose a novel partitioning clustering procedure based on the cumulative distribution function (CDF), called <i>K</i>-CDFs. For univariate data, the <i>K</i>-CDFs represent the cluster centers by empirical CDFs and assign each observation to the closest center measured by the Crame´r-von Mises distance. The procedure is nonparametric and does not require assumptions on cluster distributions imposed by mixture models. A projection technique is used to generalize the <i>K</i>-CDFs for univariate data to an arbitrary dimension. The proposed procedure has several appealing properties. It is robust to heavy-tailed data, is not sensitive to the data dimensions, does not require moment conditions on data and can effectively detect linearly nonseparable clusters. To implement the <i>K</i>-CDFs, we propose two kinds of algorithms: a greedy algorithm as the classical Lloyd’s algorithm and a spectral relaxation algorithm. We illustrate the finite sample performance of the proposed algorithms through simulation experiments and empirical analyses of several real datasets. Supplementary files for this article are available online.