cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
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DOI: 10.5517/ccdc.csd.cc21q5lk
title: CCDC 1898148: Experimental Crystal Structure Determination

description: Related Article: John E. A. Russell, Emily D. Entz, Ian M. Joyce, Sharon R. Neufeldt|2019|ACS Catalysis|9|3304|doi:10.1021/acscatal.9b00744
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.cc21q5qp
title: CCDC 1898152: Experimental Crystal Structure Determination

description: Related Article: Charlène Gadais, Kevin Van holsbeeck, Samuel L. C. Moors, Dieter Buyst, Krisztina Fehér, Kristof Van Hecke, Dirk Tourwé, Thierry Brigaud, Charlotte Martin, Frank De Proft, Julien Pytkowicz, José C. Martins, Grégory Chaume, Steven Ballet|2019|ChemBioChem|20|2513|doi:10.1002/cbic.201900294
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.cc21q5zy
title: CCDC 1898160: Experimental Crystal Structure Determination

description: Related Article: Sivappa Rasapalli,  Vamshikrishna Reddy Sammeta,  Sarbjit Singh,  James A. Golen,  Dimitar Semerdzhiev,  Yang Bo,  Mark Silby,  Reeta Rao,  Akbar Ali,  Celia A. Schiffer,  Sergey N. Savinov|2020|Chem. Sel.|5|5985|doi:10.1002/slct.202001302
description: Related Article: Vamshikrishnareddy Sammeta, Sivappa Rasapalli, James A Golen|2019|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21q6bb
title: CCDC 1898171: Experimental Crystal Structure Determination

description: Related Article: Sivappa Rasapalli,  Vamshikrishna Reddy Sammeta,  Sarbjit Singh,  James A. Golen,  Dimitar Semerdzhiev,  Yang Bo,  Mark Silby,  Reeta Rao,  Akbar Ali,  Celia A. Schiffer,  Sergey N. Savinov|2020|Chem. Sel.|5|5985|doi:10.1002/slct.202001302
description: Related Article: Vamshikrishnareddy Sammeta, Sivappa Rasapalli, James A Golen|2019|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21q6cc
title: CCDC 1898172: Experimental Crystal Structure Determination

description: Related Article: Sivappa Rasapalli,  Vamshikrishna Reddy Sammeta,  Sarbjit Singh,  James A. Golen,  Dimitar Semerdzhiev,  Yang Bo,  Mark Silby,  Reeta Rao,  Akbar Ali,  Celia A. Schiffer,  Sergey N. Savinov|2020|Chem. Sel.|5|5985|doi:10.1002/slct.202001302
description: Related Article: Vamshikrishnareddy Sammeta, Sivappa Rasapalli, James A Golen|2019|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21q6ll
title: CCDC 1898179: Experimental Crystal Structure Determination

description: Related Article: Ricardo Ballinas-Inili, Ricardo Corona-Sánchez, Saúl R. Merecías, M. Teresa Ramírez-Apan, Rubén A. Toscano, Leticia Lomas-Romero, Roberto Guerrero-Reyes and Cecilio Álvarez-Toledano|2019|ARKIVOC|2019|327-5|doi:10.24820/ark.5550190.p010.876
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.cc21q6mm
title: CCDC 1898180: Experimental Crystal Structure Determination

description: Related Article: Sivappa Rasapalli,  Vamshikrishna Reddy Sammeta,  Sarbjit Singh,  James A. Golen,  Dimitar Semerdzhiev,  Yang Bo,  Mark Silby,  Reeta Rao,  Akbar Ali,  Celia A. Schiffer,  Sergey N. Savinov|2020|Chem. Sel.|5|5985|doi:10.1002/slct.202001302
description: Related Article: Vamshikrishnareddy Sammeta, Sivappa Rasapalli, James A Golen|2019|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21q6nn
title: CCDC 1898181: Experimental Crystal Structure Determination

description: Related Article: Sivappa Rasapalli,  Vamshikrishna Reddy Sammeta,  Sarbjit Singh,  James A. Golen,  Dimitar Semerdzhiev,  Yang Bo,  Mark Silby,  Reeta Rao,  Akbar Ali,  Celia A. Schiffer,  Sergey N. Savinov|2020|Chem. Sel.|5|5985|doi:10.1002/slct.202001302
description: Related Article: Vamshikrishnareddy Sammeta, Sivappa Rasapalli, James A Golen|2019|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21q6qq
title: CCDC 1898183: Experimental Crystal Structure Determination

description: Related Article: Sivappa Rasapalli,  Vamshikrishna Reddy Sammeta,  Sarbjit Singh,  James A. Golen,  Dimitar Semerdzhiev,  Yang Bo,  Mark Silby,  Reeta Rao,  Akbar Ali,  Celia A. Schiffer,  Sergey N. Savinov|2020|Chem. Sel.|5|5985|doi:10.1002/slct.202001302
description: Related Article: Vamshikrishnareddy Sammeta, Sivappa Rasapalli, James A Golen|2019|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.17438993
title: Comparative Performance Analysis of Hyperledger Fabric and Hyperledger Besu

description: The integration of blockchain technology with Internet of Things (IoT) systems has emergedas a promising solution for addressing data integrity, provenance, and trust challenges in sensor networks.Permissioned blockchain platforms offer advantages over public chains for enterprise IoT deployments,including controlled access, better performance, and privacy features. However, there exists limited empiricalevidence comparing their performance characteristics for IoT-specific workloads. This study presents acomprehensive performance evaluation of Hyperledger Fabric and Hyperledger Besu, two leading permis-sioned blockchain platforms, specifically designed for IoT sensor applications. We developed realistic IoTscenarios including concurrent sensor deployments, environmental monitoring with automated actuation,and long-term stability assessment. Using Hyperledger Caliper for benchmarking and physical IoT hardwarefor validation, we conducted over 1,500 experimental runs across six performance dimensions: baselineperformance, network scalability, concurrent sensor workloads, fault tolerance, energy efficiency, and real-time response. We measured latency, throughput, recovery time, energy consumption, and end-to-endsensor-to-actuator response across multiple network configurations and failure scenarios. Our findingsreveal fundamental performance trade-offs rooted in architectural differences between the platforms. Fabricdemonstrates superior latency and fault recovery characteristics, while Besu exhibits better energy efficiencyand power consumption. Both platforms showed graceful scalability and robust fault tolerance. These resultschallenge the assumption of universal platform superiority, demonstrating that optimal selection dependscritically on application requirements. Time-critical IoT applications requiring rapid response should favorFabric, while energy-constrained deployments benefit from Besu’s efficiency. This study provides practicalguidance for evidence-based blockchain platform selection in IoT deployments.
DOI: 10.5281/zenodo.17438994
title: Comparative Performance Analysis of Hyperledger Fabric and Hyperledger Besu

description: The integration of blockchain technology with Internet of Things (IoT) systems has emergedas a promising solution for addressing data integrity, provenance, and trust challenges in sensor networks.Permissioned blockchain platforms offer advantages over public chains for enterprise IoT deployments,including controlled access, better performance, and privacy features. However, there exists limited empiricalevidence comparing their performance characteristics for IoT-specific workloads. This study presents acomprehensive performance evaluation of Hyperledger Fabric and Hyperledger Besu, two leading permis-sioned blockchain platforms, specifically designed for IoT sensor applications. We developed realistic IoTscenarios including concurrent sensor deployments, environmental monitoring with automated actuation,and long-term stability assessment. Using Hyperledger Caliper for benchmarking and physical IoT hardwarefor validation, we conducted over 1,500 experimental runs across six performance dimensions: baselineperformance, network scalability, concurrent sensor workloads, fault tolerance, energy efficiency, and real-time response. We measured latency, throughput, recovery time, energy consumption, and end-to-endsensor-to-actuator response across multiple network configurations and failure scenarios. Our findingsreveal fundamental performance trade-offs rooted in architectural differences between the platforms. Fabricdemonstrates superior latency and fault recovery characteristics, while Besu exhibits better energy efficiencyand power consumption. Both platforms showed graceful scalability and robust fault tolerance. These resultschallenge the assumption of universal platform superiority, demonstrating that optimal selection dependscritically on application requirements. Time-critical IoT applications requiring rapid response should favorFabric, while energy-constrained deployments benefit from Besu’s efficiency. This study provides practicalguidance for evidence-based blockchain platform selection in IoT deployments.
DOI: 10.5517/ccdc.csd.cc21q6vv
title: CCDC 1898187: Experimental Crystal Structure Determination

description: Related Article: Simplicio González-Montiel, César Ignacio Sandoval-Chávez, Oscar Muñoz-Granados, Diego Martínez-Otero, J. Manuel Vásquez-Pérez, Julián Cruz-Borbolla, René Velázquez-Jiménez, Jorge A. López|2019|Polyhedron|173|114115|doi:10.1016/j.poly.2019.114115
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.