cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc1nt8xn
title: CCDC 1543642: Experimental Crystal Structure Determination

description: Related Article: Nadine S. Sommerfeld, Jana Gülzow, Alexander Roller, Klaudia Cseh, Michael A. Jakupec, Andreas Grohmann, Markus Galanski, Bernhard K. Keppler|2017|Eur.J.Inorg.Chem.|2017|3115|doi:10.1002/ejic.201700416
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.cc1nt8yp
title: CCDC 1543643: Experimental Crystal Structure Determination

description: Related Article: Nadine S. Sommerfeld, Jana Gülzow, Alexander Roller, Klaudia Cseh, Michael A. Jakupec, Andreas Grohmann, Markus Galanski, Bernhard K. Keppler|2017|Eur.J.Inorg.Chem.|2017|3115|doi:10.1002/ejic.201700416
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: 10.25397/eur.19752967.v1
title: The impact of student-teacher and student-peer relationships on academic performance: the mediating effects of study effort and engagement

description: This dataset is part of a larger research project investigating university students’ experiences during emergency remote teaching due to the COVID-19 pandemic. A longitudinal cohort study among university students from the Netherlands was performed during the academic year 2020/2021 with three points of measurement, i.e., t1 = November/December 2020, t2 = March 2021, and t3 = June/July 2021. Data were collected through online surveys programmed in Qualtrics.The dataset includes data from 613 undergraduate students who fully completed the surveys at t1 and t2. Variables that are included in this dataset are: demographic and study-related variables (t1), student-teacher relationships (t1+t2), quality of interaction with peers (t1+t2), study effort (t1+t2), study engagement (t1+t2), and academic performance/GPA (t2).<b>Abstract</b><br>Despite the recognised importance of student-teacher and student-peer relationships as well as study effort and engagement in predicting academic performance, the interplay between these predictors has received limited attention in higher education research. Building on Study Demands-Resources theories, this longitudinal study explores the favourable impact of student-teacher and student-peer relationships on academic performance (GPA), mediated by study effort and engagement. In total, 613 undergraduate students (68% female; mean age 20 years) from all 13 Dutch public universities completed two online surveys with a 3.5-month interval. Student-teacher and student-peer relationships, study effort, and study engagement were measured at two time points (t1 and t2), while GPA was only measured at t2. Correlation and path analyses revealed that better relationships with both teachers and peers were longitudinally associated with a higher GPA, mediated by more study effort and engagement. This study contributes to the literature by employing longitudinal data, offering stronger causal evidence for processes underlying academic performance. It underscores the importance of fostering positive relationships with both teachers and peers to improve student performance. The findings suggest that educational institutions should implement strategies to strengthen these relationships, thereby enhancing study effort and engagement, ultimately leading to improved academic performance.
DOI: 10.5517/ccdc.csd.cc1nt8tk
title: CCDC 1543639: Experimental Crystal Structure Determination

description: Related Article: Stefan Suckert, Inke Jess, Christian Näther|2017|Z.Anorg.Allg.Chem.|643|721|doi:10.1002/zaac.201700062
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.cc1nt8zq
title: CCDC 1543644: Experimental Crystal Structure Determination

description: Related Article: Nadine S. Sommerfeld, Jana Gülzow, Alexander Roller, Klaudia Cseh, Michael A. Jakupec, Andreas Grohmann, Markus Galanski, Bernhard K. Keppler|2017|Eur.J.Inorg.Chem.|2017|3115|doi:10.1002/ejic.201700416
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.cc1nt8vl
title: CCDC 1543640: Experimental Crystal Structure Determination

description: Related Article: Stefan Suckert, Inke Jess, Christian Näther|2017|Z.Anorg.Allg.Chem.|643|721|doi:10.1002/zaac.201700062
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.cc1nt90s
title: CCDC 1543645: Experimental Crystal Structure Determination

description: Related Article: Nadine S. Sommerfeld, Jana Gülzow, Alexander Roller, Klaudia Cseh, Michael A. Jakupec, Andreas Grohmann, Markus Galanski, Bernhard K. Keppler|2017|Eur.J.Inorg.Chem.|2017|3115|doi:10.1002/ejic.201700416
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.cc1nt8wm
title: CCDC 1543641: Experimental Crystal Structure Determination

description: Related Article: Stefan Suckert, Inke Jess, Christian Näther|2017|Z.Anorg.Allg.Chem.|643|721|doi:10.1002/zaac.201700062
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.cc1nt91t
title: CCDC 1543646: Experimental Crystal Structure Determination

description: Related Article: Nadine S. Sommerfeld, Jana Gülzow, Alexander Roller, Klaudia Cseh, Michael A. Jakupec, Andreas Grohmann, Markus Galanski, Bernhard K. Keppler|2017|Eur.J.Inorg.Chem.|2017|3115|doi:10.1002/ejic.201700416
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: 10.25397/eur.19771261
title: Data: Anomalies in the China A-share market

description: This paper sheds light on the similarities and differences with respect to the presence of anomalies in the China A-share market and other markets. To this end, we examine the existence of 32 anomalies in the China A-share market over the period 2000–2019. We find that value, risk, and trading anomalies carry over to China A-shares. Evidence for anomalies in the size, quality, and past return categories is substantially weaker, with the exception of a strong residual momentum and reversal effect. We document that most anomalies cannot be explained by industry composition, and are present among large, mid, and small capitalization stocks. We are the first to examine the existence of residual reversal, return seasonalities, and connected firm momentum for the China A-share market. We find strong out-of-sample evidence for the former two, but not the latter. Specific characteristics of the China A-share market, such as short-sale restrictions, the prevalence of state-owned enterprises, and the effect of stock market reforms, are examined in more detail. These features do not seem to be important drivers of our empirical findings. <br> This data set contains the monthly return data of the 32 anomalies underlying summary Table 4. <br> <br>
DOI: 10.5517/ccdc.csd.cc1nt92v
title: CCDC 1543647: Experimental Crystal Structure Determination

description: Related Article: Nadine S. Sommerfeld, Jana Gülzow, Alexander Roller, Klaudia Cseh, Michael A. Jakupec, Andreas Grohmann, Markus Galanski, Bernhard K. Keppler|2017|Eur.J.Inorg.Chem.|2017|3115|doi:10.1002/ejic.201700416
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.cc1nt93w
title: CCDC 1543648: Experimental Crystal Structure Determination

description: Related Article: Nadine S. Sommerfeld, Jana Gülzow, Alexander Roller, Klaudia Cseh, Michael A. Jakupec, Andreas Grohmann, Markus Galanski, Bernhard K. Keppler|2017|Eur.J.Inorg.Chem.|2017|3115|doi:10.1002/ejic.201700416
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.cc1nt94x
title: CCDC 1543649: Experimental Crystal Structure Determination

description: Related Article: Abhijit Sen, Soumyabrata Roy, Sebastian C. Peter, Arpita Paul, Umesh V. Waghmare, Sundaresan Athinarayanan|2018|J.Solid State Chem.|258|431|doi:10.1016/j.jssc.2017.10.036
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: 10.25397/eur.19771261.v1
title: Data: Anomalies in the China A-share market

description: This paper sheds light on the similarities and differences with respect to the presence of anomalies in the China A-share market and other markets. To this end, we examine the existence of 32 anomalies in the China A-share market over the period 2000–2019. We find that value, risk, and trading anomalies carry over to China A-shares. Evidence for anomalies in the size, quality, and past return categories is substantially weaker, with the exception of a strong residual momentum and reversal effect. We document that most anomalies cannot be explained by industry composition, and are present among large, mid, and small capitalization stocks. We are the first to examine the existence of residual reversal, return seasonalities, and connected firm momentum for the China A-share market. We find strong out-of-sample evidence for the former two, but not the latter. Specific characteristics of the China A-share market, such as short-sale restrictions, the prevalence of state-owned enterprises, and the effect of stock market reforms, are examined in more detail. These features do not seem to be important drivers of our empirical findings. <br> This data set contains the monthly return data of the 32 anomalies underlying summary Table 4. <br> <br>
DOI: 10.5517/ccdc.csd.cc1nt96z
title: CCDC 1543651: Experimental Crystal Structure Determination

description: Related Article: Karena A. Smoll,  Werner Kaminsky,  and Karen I. Goldberg|2017|Organometallics|36|1213|doi:10.1021/acs.organomet.7b00020
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.cc1nt970
title: CCDC 1543652: Experimental Crystal Structure Determination

description: Related Article: Karena A. Smoll,  Werner Kaminsky,  and Karen I. Goldberg|2017|Organometallics|36|1213|doi:10.1021/acs.organomet.7b00020
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.cc1nt981
title: CCDC 1543653: Experimental Crystal Structure Determination

description: Related Article: James R. Bour,  Stavros K. Kariofillis,  and Melanie S. Sanford|2017|Organometallics|36|1220|doi:10.1021/acs.organomet.7b00025
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.cc1nt992
title: CCDC 1543654: Experimental Crystal Structure Determination

description: Related Article: James R. Bour,  Stavros K. Kariofillis,  and Melanie S. Sanford|2017|Organometallics|36|1220|doi:10.1021/acs.organomet.7b00025
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.cc1nt9b3
title: CCDC 1543655: Experimental Crystal Structure Determination

description: Related Article: Hongli Ruan, Yue Lv, Shijun Yu, Chengwei Lv, Yue An|2018|Heterocycles|96|1266|doi:10.3987/COM-18-13913
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: 10.15468/dl.wftecb
title: Occurrence Download

description: A dataset containing 34441 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Oceania",
 "TaxonKey is Chelodina longicollis"
 ]
}

 The dataset includes 34441 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054899-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25397/eur.19786453
title: Publication Package. Positive and negative risk-taking in adolescence and early adulthood: A citizen science study during the COVID-19 pandemic

description: This is a publication package for the article "Positive and negative risk-taking in adolescence and early adulthood: A citizen science study during the COVID-19 pandemic". <br> This publication package contains: a read-me file, an overview of the study measures, the computer code and data files. <br> <strong>Abstract</strong> Sensation seeking is an important underlying factor of both positive and negative forms of risk-taking during adolescence and early adulthood. However, macro-factors such as the global Covid-19 pandemic may influence sensation seeking opportunities and risk-taking behaviors that are considered negative and positive. Therefore, the primary aim of this study was to examine the associations between sensation seeking and behaviors that are considered positive or negative forms of risk-taking during the Covid-19 pandemic in a sample of adolescents and early adults (<em>N = </em>660, <em>M</em>age = 22.91, <em>SD</em> = 3.14). Using citizen science methods, negative risk-taking was defined as taking unaccepted risks, such as falsifying vaccination reports or deliberately contracting Covid-19. Positive risk-taking was defined as taking socially accepted risks, such as balancing between the risk to infect elderly people and the need to socialize with peers. Results showed that participants with higher levels of sensation seeking took more positive and negative Covid-19 related risks. An additional finding was that sensation seeking was positively associated with the need to contribute to society. This indicates that during adolescence and early adulthood, sensation seeking may be a driving factor for both positive (i.e., socially accepted) and negative (i.e., socially unaccepted) risk-taking in the context of a high-stake global pandemic, arguing against a one-direction negative relation between sensation seeking and risk-taking.
DOI: 10.5517/ccdc.csd.cc1nt9md
title: CCDC 1543664: Experimental Crystal Structure Determination

description: Related Article: Ashish Kumar Dhara,  Kapil Kumar,  Sheela Kumari,  U. P. Singh,  Kaushik Ghosh|2020|Transition Met.Chem.|45|159 |doi:10.1007/s11243-019-00367-7
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.cc1nt9nf
title: CCDC 1543665: Experimental Crystal Structure Determination

description: Related Article: Hoang Huy Do, Alexander Villinger, Stefan Lochbrunner, Peter Ehlers, Peter Langer|2017|Eur.J.Org.Chem.|2017|2238|doi:10.1002/ejoc.201700024
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.cc1nt3g1
title: CCDC 1543473: Experimental Crystal Structure Determination

description: Related Article: Giovanni Occhipinti, Karl W. Törnroos, Vidar R. Jensen|2017|Organometallics|36|3284|doi:10.1021/acs.organomet.7b00441
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.cc1nt9zr
title: CSD 1543675: Experimental Crystal Structure Determination

description: Related Article: E. Eikeland, A.B. Blichfeld, K.A. Borup, K. Zhao, J. Overgaard, X. Shi, L. Chen, B.B. Iversen|2017|IUCrJ|4|476|doi:10.1107/S2052252517005553
description: Related Article: Lennart K. B. Garve, Peter G. Jones, Daniel B. Werz|2017|Angew.Chem.,Int.Ed.|56|9226|doi:10.1002/anie.201704619
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25397/eur.19786453.v1
title: Publication Package. Positive and negative risk-taking in adolescence and early adulthood: A citizen science study during the COVID-19 pandemic

description: This is a publication package for the article "Positive and negative risk-taking in adolescence and early adulthood: A citizen science study during the COVID-19 pandemic". <br> This publication package contains: a read-me file, an overview of the study measures, the computer code and data files. <br> <strong>Abstract</strong> Sensation seeking is an important underlying factor of both positive and negative forms of risk-taking during adolescence and early adulthood. However, macro-factors such as the global Covid-19 pandemic may influence sensation seeking opportunities and risk-taking behaviors that are considered negative and positive. Therefore, the primary aim of this study was to examine the associations between sensation seeking and behaviors that are considered positive or negative forms of risk-taking during the Covid-19 pandemic in a sample of adolescents and early adults (<em>N = </em>660, <em>M</em>age = 22.91, <em>SD</em> = 3.14). Using citizen science methods, negative risk-taking was defined as taking unaccepted risks, such as falsifying vaccination reports or deliberately contracting Covid-19. Positive risk-taking was defined as taking socially accepted risks, such as balancing between the risk to infect elderly people and the need to socialize with peers. Results showed that participants with higher levels of sensation seeking took more positive and negative Covid-19 related risks. An additional finding was that sensation seeking was positively associated with the need to contribute to society. This indicates that during adolescence and early adulthood, sensation seeking may be a driving factor for both positive (i.e., socially accepted) and negative (i.e., socially unaccepted) risk-taking in the context of a high-stake global pandemic, arguing against a one-direction negative relation between sensation seeking and risk-taking.
DOI: 10.5517/ccdc.csd.cc1ntb2w
title: CCDC 1543678: Experimental Crystal Structure Determination

description: Related Article: Lennart K. B. Garve, Peter G. Jones, Daniel B. Werz|2017|Angew.Chem.,Int.Ed.|56|9226|doi:10.1002/anie.201704619
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.