cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc1ntc50
title: CCDC 1543712: Experimental Crystal Structure Determination

description: Related Article: Andrey S. Levashov, Nicolai A. Aksenov, Inna V. Aksenova, Valeriy V. Konshin|2017|New J.Chem.|41|8297|doi:10.1039/C7NJ01376K
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.cc1ntc83
title: CCDC 1543715: Experimental Crystal Structure Determination

description: Related Article: Dulal Musib,  Samya Banerjee,  Aditya Garai,  Uzeeta Soraisam,  and Mithun Roy|2018|Chem. Sel.|3|2767|doi:10.1002/slct.201800015
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.20026031.v1
title: Perceived University Support and Students' Entrepreneurial Intentions

description: This is the dataset for our published paper entitled "Perceived University Support and Entrepreneurial Intentions: Do Different Students Benefit Differently?" in the journal Studies in Educational Evaluation. <br> The variables included in this dataset are domestics variables (age, gender, entrepreneurship education, and entrepreneurship experience), perceived university support, attitudes toward entrepreneurship, subjective norms, entrepreneurial self-efficacy, and entrepreneurial intentions. More detialed information is in the published paper.
DOI: 10.5517/ccdc.csd.cc1ntc94
title: CCDC 1543716: Experimental Crystal Structure Determination

description: Related Article: Shuang Qin, Yan Zheng, Fa-guang Zhang, Jun-an Ma|2017|Org.Lett.|19|3406|doi:10.1021/acs.orglett.7b01362
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.cc1ntcb5
title: CCDC 1543717: Experimental Crystal Structure Determination

description: Related Article: Shuang Qin, Yan Zheng, Fa-guang Zhang, Jun-an Ma|2017|Org.Lett.|19|3406|doi:10.1021/acs.orglett.7b01362
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.cc1ntcc6
title: CCDC 1543718: Experimental Crystal Structure Determination

description: Related Article: Luiz F. T. Novaes and Julio C. Pastre|2017|Org.Lett.|19|3163|doi:10.1021/acs.orglett.7b01287
description: Related Article: Luiz F. T. Novaes,  Kaliandra de Almeida Gonçalves,  Daniela B. B. Trivella,  and Julio C. Pastre|2018|J.Org.Chem.|83|5160|doi:10.1021/acs.joc.8b00514
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.20026211
title: Increasing Teaching Effectiveness in Entrepreneurship Education: Course Characteristics and Student Needs Differences

description: This dataset is attached to the paper entitled "Increasing Teaching Effectiveness in Entrepreneurship Education: Course Characteristics and Student Needs Differences" at the journal Learning and Individual Differences. <br> Pre-test and post-test data were collected from students who enrolled an entrepreneurship course. The variables include domestic variables (age, gender, entrepreneurship experience), challening learning environment, teacher-student relationships, need for achievement, need for affliation, entrepenurial self-efficacy, study engagement, pre-test and post-test entrepreneurial intentions.
DOI: 10.5517/ccdc.csd.cc1ntcd7
title: CCDC 1543719: Experimental Crystal Structure Determination

description: Related Article: Shuang Qin, Yan Zheng, Fa-guang Zhang, Jun-an Ma|2017|Org.Lett.|19|3406|doi:10.1021/acs.orglett.7b01362
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.cc1ntcf8
title: CCDC 1543720: Experimental Crystal Structure Determination

description: Related Article: Shuang Qin, Yan Zheng, Fa-guang Zhang, Jun-an Ma|2017|Org.Lett.|19|3406|doi:10.1021/acs.orglett.7b01362
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.cc1ntcg9
title: CCDC 1543721: Experimental Crystal Structure Determination

description: Related Article: Alexander A. Ishchenko, Andrii V. Kulinich, Svitlana V. Shishkina|2017|Dyes Pigm.|145|181|doi:10.1016/j.dyepig.2017.06.009
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.cc1ntchb
title: CCDC 1543722: Experimental Crystal Structure Determination

description: Related Article: Alexander A. Ishchenko, Andrii V. Kulinich, Svitlana V. Shishkina|2017|Dyes Pigm.|145|181|doi:10.1016/j.dyepig.2017.06.009
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.cc1ntcjc
title: CCDC 1543723: Experimental Crystal Structure Determination

description: Related Article: Alexander A. Ishchenko, Andrii V. Kulinich, Svitlana V. Shishkina|2017|Dyes Pigm.|145|181|doi:10.1016/j.dyepig.2017.06.009
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.20026211.v1
title: Increasing Teaching Effectiveness in Entrepreneurship Education: Course Characteristics and Student Needs Differences

description: This dataset is attached to the paper entitled "Increasing Teaching Effectiveness in Entrepreneurship Education: Course Characteristics and Student Needs Differences" at the journal Learning and Individual Differences. <br> Pre-test and post-test data were collected from students who enrolled an entrepreneurship course. The variables include domestic variables (age, gender, entrepreneurship experience), challening learning environment, teacher-student relationships, need for achievement, need for affliation, entrepenurial self-efficacy, study engagement, pre-test and post-test entrepreneurial intentions.
DOI: 10.5517/ccdc.csd.cc1ntckd
title: CCDC 1543724: Experimental Crystal Structure Determination

description: Related Article: Alexander A. Ishchenko, Andrii V. Kulinich, Svitlana V. Shishkina|2017|Dyes Pigm.|145|181|doi:10.1016/j.dyepig.2017.06.009
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.cc1ntclf
title: CCDC 1543725: Experimental Crystal Structure Determination

description: Related Article: Alexander A. Ishchenko, Andrii V. Kulinich, Svitlana V. Shishkina|2017|Dyes Pigm.|145|181|doi:10.1016/j.dyepig.2017.06.009
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.cc1n7g4h
title: CCDC 1526506: Experimental Crystal Structure Determination

description: Related Article: Florian Jaroschik, Manfred Penkhues, Bernard Bahlmann, Emmanuel Nicolas, Malte Fischer, Fabien Massicot, Agathe Martinez, Dominique Harakat, Marc Schmidtmann, Radhakrishnan Kokkuvayil Vasu, Jean-Luc Vasse, Rüdiger Beckhaus|2017|Organometallics|36|2004|doi:10.1021/acs.organomet.7b00213
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.cc1n7g5j
title: CCDC 1526507: Experimental Crystal Structure Determination

description: Related Article: Florian Jaroschik, Manfred Penkhues, Bernard Bahlmann, Emmanuel Nicolas, Malte Fischer, Fabien Massicot, Agathe Martinez, Dominique Harakat, Marc Schmidtmann, Radhakrishnan Kokkuvayil Vasu, Jean-Luc Vasse, Rüdiger Beckhaus|2017|Organometallics|36|2004|doi:10.1021/acs.organomet.7b00213
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.cc1nncqd
title: CCDC 1538924: Experimental Crystal Structure Determination

description: Related Article: Florian Jaroschik, Manfred Penkhues, Bernard Bahlmann, Emmanuel Nicolas, Malte Fischer, Fabien Massicot, Agathe Martinez, Dominique Harakat, Marc Schmidtmann, Radhakrishnan Kokkuvayil Vasu, Jean-Luc Vasse, Rüdiger Beckhaus|2017|Organometallics|36|2004|doi:10.1021/acs.organomet.7b00213
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.20279883
title: Digital online content package for "Cost measurement in value-based health care: a systematic review"

description: <strong>Objective</strong> Although value-based healthcare (VBHC) views accurate cost information to be crucial in the pursuit of value, little is known about how the costs of care should be measured. The aim of this review is to identify how costs are currently measured in VBHC, and which cost measurement methods can facilitate VBHC or value-based decision making. <br> <strong>Design</strong> Two reviewers systematically search the PubMed/MEDLINE, Embase, EBSCOhost and Web of Science databases for publications up to 1 January 2022 and follow Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines to identify relevant studies for further analysis. <br> <strong>Eligibility criteria</strong> Studies should measure the costs of an intervention, treatment or care path and label the study as ‘value based’. An inductive qualitative approach was used to identify studies that adopted management accounting techniques to identify if or how cost information facilitated VBHC by aiding decision-making. <strong>Results</strong> We identified 1930 studies, of which 215 measured costs in a VBHC setting. Half of these studies measured hospital costs (110, 51.2%) and the rest relied on reimbursement amounts. Sophisticated costing methods that allocate both direct and indirect costs to care paths were seen as able to provide valuable managerial information by facilitating care path adjustments (39), benchmarking (38), the identification of cost drivers (47) and the measurement of total costs or cost savings (26). We found three best practices that were key to success in cost measurement: process mapping (33), expert input (17) and observations (24). <br> <strong>Conclusions</strong> Cost information can facilitate VBHC. Time-driven activity-based costing (TDABC) is viewed as the best method although its ability to inform decision-making depends on how it is implemented. While costing short, or partial, care paths and surgical episodes produces accurate cost information, it provides only limited decision-making information. Practitioners are advised to focus on costing full care cycles and to consider both direct and indirect costs through TDABC.
DOI: 10.5517/ccdc.csd.cc1nncnb
title: CCDC 1538922: Experimental Crystal Structure Determination

description: Related Article: Florian Jaroschik, Manfred Penkhues, Bernard Bahlmann, Emmanuel Nicolas, Malte Fischer, Fabien Massicot, Agathe Martinez, Dominique Harakat, Marc Schmidtmann, Radhakrishnan Kokkuvayil Vasu, Jean-Luc Vasse, Rüdiger Beckhaus|2017|Organometallics|36|2004|doi:10.1021/acs.organomet.7b00213
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.cc1nncpc
title: CCDC 1538923: Experimental Crystal Structure Determination

description: Related Article: Florian Jaroschik, Manfred Penkhues, Bernard Bahlmann, Emmanuel Nicolas, Malte Fischer, Fabien Massicot, Agathe Martinez, Dominique Harakat, Marc Schmidtmann, Radhakrishnan Kokkuvayil Vasu, Jean-Luc Vasse, Rüdiger Beckhaus|2017|Organometallics|36|2004|doi:10.1021/acs.organomet.7b00213
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.cc1nncrf
title: CCDC 1538925: Experimental Crystal Structure Determination

description: Related Article: Florian Jaroschik, Manfred Penkhues, Bernard Bahlmann, Emmanuel Nicolas, Malte Fischer, Fabien Massicot, Agathe Martinez, Dominique Harakat, Marc Schmidtmann, Radhakrishnan Kokkuvayil Vasu, Jean-Luc Vasse, Rüdiger Beckhaus|2017|Organometallics|36|2004|doi:10.1021/acs.organomet.7b00213
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.20279883.v1
title: Digital online content package for "Cost measurement in value-based health care: a systematic review"

description: <strong>Objective</strong> Although value-based healthcare (VBHC) views accurate cost information to be crucial in the pursuit of value, little is known about how the costs of care should be measured. The aim of this review is to identify how costs are currently measured in VBHC, and which cost measurement methods can facilitate VBHC or value-based decision making. <br> <strong>Design</strong> Two reviewers systematically search the PubMed/MEDLINE, Embase, EBSCOhost and Web of Science databases for publications up to 1 January 2022 and follow Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines to identify relevant studies for further analysis. <br> <strong>Eligibility criteria</strong> Studies should measure the costs of an intervention, treatment or care path and label the study as ‘value based’. An inductive qualitative approach was used to identify studies that adopted management accounting techniques to identify if or how cost information facilitated VBHC by aiding decision-making. <strong>Results</strong> We identified 1930 studies, of which 215 measured costs in a VBHC setting. Half of these studies measured hospital costs (110, 51.2%) and the rest relied on reimbursement amounts. Sophisticated costing methods that allocate both direct and indirect costs to care paths were seen as able to provide valuable managerial information by facilitating care path adjustments (39), benchmarking (38), the identification of cost drivers (47) and the measurement of total costs or cost savings (26). We found three best practices that were key to success in cost measurement: process mapping (33), expert input (17) and observations (24). <br> <strong>Conclusions</strong> Cost information can facilitate VBHC. Time-driven activity-based costing (TDABC) is viewed as the best method although its ability to inform decision-making depends on how it is implemented. While costing short, or partial, care paths and surgical episodes produces accurate cost information, it provides only limited decision-making information. Practitioners are advised to focus on costing full care cycles and to consider both direct and indirect costs through TDABC.
DOI: 10.5517/ccdc.csd.cc1ntcpj
title: CCDC 1543728: Experimental Crystal Structure Determination

description: Related Article: Liela Bayeh, Phong Q. Le, Uttam K. Tambar|2017|Nature (London)|547|196|doi:10.1038/nature22805
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.cc1ntcqk
title: CCDC 1543729: Experimental Crystal Structure Determination

description: Related Article: Shirel Cohen,  Veniamin Borin,  Igor Schapiro,  Sanaa Musa,  Sophie De-Botton,  Natalia V. Belkova,  and Dmitri Gelman|2017|ACS Catalysis|7|8139|doi:10.1021/acscatal.7b02482
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.cc1ntcxr
title: CCDC 1543735: Experimental Crystal Structure Determination

description: Related Article: Chen Zhang, Rahul S. Patil, Tao Li, Charles L. Barnes, Simon J. Teat and Jerry L. Atwood|2017|Chem.-Eur.J.|23|8520|doi:10.1002/chem.201701765
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.cc1ntcys
title: CCDC 1543736: Experimental Crystal Structure Determination

description: Related Article: Chen Zhang, Rahul S. Patil, Tao Li, Charles L. Barnes, Simon J. Teat and Jerry L. Atwood|2017|Chem.-Eur.J.|23|8520|doi:10.1002/chem.201701765
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.cc1ntczt
title: CCDC 1543737: Experimental Crystal Structure Determination

description: Related Article: Chen Zhang, Rahul S. Patil, Tao Li, Charles L. Barnes, Simon J. Teat and Jerry L. Atwood|2017|Chem.-Eur.J.|23|8520|doi:10.1002/chem.201701765
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.