cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2g4zrc
title: CCDC 2268913: Experimental Crystal Structure Determination

description: Related Article: Sergio López-Azpeitia, Tania L. Espinoza-Cruz, Fernando Mejia-Rivera, Antonio Gómez-Infante, Juan M. Perlata-Hernández, Katarzyna Wrobel, José Gpe. Alvarado-Rodríguez, Kazimierz Wrobel, Oracio Serrano|2023|J.Organomet.Chem.|1001|122853|doi:10.1016/j.jorganchem.2023.122853
description: Related Article: Sergio López-Azpeitia, Tania L. Espinoza-Cruz, Fernando Mejia-Rivera, Antonio Gómez-Infante, Juan M. Perlata-Hernández, Katarzyn Wrobel, José Gpe. Alvarado-Rodríguez, Kazimierz Wrobel, Oracio Serrano|2023|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.cc2g544y
title: CCDC 2269049: Experimental Crystal Structure Determination

description: Related Article: Run-Ze Yuan, Peng-Fei Cui, Guo-Xin Jin|2023|J.Organomet.Chem.|1001|122867|doi:10.1016/j.jorganchem.2023.122867
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.cc2g545z
title: CCDC 2269050: Experimental Crystal Structure Determination

description: Related Article: Run-Ze Yuan, Peng-Fei Cui, Guo-Xin Jin|2023|J.Organomet.Chem.|1001|122867|doi:10.1016/j.jorganchem.2023.122867
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.cc2g5460
title: CCDC 2269051: Experimental Crystal Structure Determination

description: Related Article: Run-Ze Yuan, Peng-Fei Cui, Guo-Xin Jin|2023|J.Organomet.Chem.|1001|122867|doi:10.1016/j.jorganchem.2023.122867
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.cc2g5471
title: CCDC 2269052: Experimental Crystal Structure Determination

description: Related Article: Run-Ze Yuan, Peng-Fei Cui, Guo-Xin Jin|2023|J.Organomet.Chem.|1001|122867|doi:10.1016/j.jorganchem.2023.122867
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.cc2g5482
title: CCDC 2269053: Experimental Crystal Structure Determination

description: Related Article: Run-Ze Yuan, Peng-Fei Cui, Guo-Xin Jin|2023|J.Organomet.Chem.|1001|122867|doi:10.1016/j.jorganchem.2023.122867
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.cc2gprlj
title: CCDC 2285028: Experimental Crystal Structure Determination

description: Related Article: Yi-Fan Tan, Guang-Min Liang, Kun Zhou, Jiu-Yu Ji, Li-Ping Zhao|2023|J.Organomet.Chem.|1001|122879|doi:10.1016/j.jorganchem.2023.122879
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.cc2gms63
title: CCDC 2283125: Experimental Crystal Structure Determination

description: Related Article: Ling Chai, Jia-Hao Li, Hui-Zheng Fang, Jiang-Feng Xing, Xiao-Hui Ma, Xin-Jing Zhao, Ye Yang, Yuan-Zhi Tan|2023|J.Organomet.Chem.|1001|122877|doi:10.1016/j.jorganchem.2023.122877
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: 10.6084/m9.figshare.24375142
title: congruent schematic prime and opposite schematic prime on metaphor comprehension

description: We investigated the process of metaphor comprehension in literal- and gesture-prime conditions.
DOI: 10.6084/m9.figshare.24375226
title: Charge-reversed Exosomes for Targeted Gene Delivery to Cartilage for Osteoarthritis Treatment

description: Raw data and statistics analysis for the figures and tables
DOI: 10.5281/zenodo.10021355
title: Thermoacoustics datasets

description: Thermoacoustics datasets used in "Hard-constrained neural networks for modelling nonlinear acoustics, D. E. Ozan and L. Magri (2023)" (https://arxiv.org/abs/2305.15511) and the associated repository (https://github.com/MagriLab/HCTA).
DOI: 10.5281/zenodo.10021354
title: Thermoacoustics datasets

description: Thermoacoustics datasets used in "Hard-constrained neural networks for modelling nonlinear acoustics, D. E. Ozan and L. Magri (2023)" (https://arxiv.org/abs/2305.15511) and the associated repository (https://github.com/MagriLab/HCTA).
DOI: 10.5281/zenodo.10022315
title: ERA5-Land selected indicators daily aggregates for the Latin America region, 1980

description: This deposit contains NetCDF files with daily aggregates from Copernicus Era5-Land eight selected indicators, covering the Latin America region, for 1980.
Each file represents one indicator aggregation for one month of the year. Inside each NetCDF file, the layers contain the daily aggregates.
For 2m dewpoint pressure, 10m u component of wind, 10m v component of wind, surface pressure, the mean function was used for aggregation. For total precipitation, the sum function was used for aggregation. For 2m temperature, the functions maximum, mean and minimum were used for aggregation.
Those files were created using the KrigR package.
DOI: 10.5281/zenodo.10022314
title: ERA5-Land selected indicators daily aggregates for the Latin America region, 1980

description: This deposit contains NetCDF files with daily aggregates from Copernicus Era5-Land eight selected indicators, covering the Latin America region, for 1980.
Each file represents one indicator aggregation for one month of the year. Inside each NetCDF file, the layers contain the daily aggregates.
For 2m dewpoint pressure, 10m u component of wind, 10m v component of wind, surface pressure, the mean function was used for aggregation. For total precipitation, the sum function was used for aggregation. For 2m temperature, the functions maximum, mean and minimum were used for aggregation.
Those files were created using the KrigR package.
DOI: 10.5281/zenodo.10021621
title: Jitter Radiation as an Alternative Mechanism for the Nonthermal X-Ray Emission of Cassiopeia A

description: This is a basic reproduction package for the paper "Jitter radiation as an alternative mechanism for the non thermal X-ray emission of Cassiopeia A" by Greco et al. 2022, with DOI 10.3847/1538-4357/acf567. It aims at providing the most important data products to check and reproduce the main results of the paper.
DOI: 10.5281/zenodo.10021622
title: Jitter Radiation as an Alternative Mechanism for the Nonthermal X-Ray Emission of Cassiopeia A

description: This is a basic reproduction package for the paper "Jitter radiation as an alternative mechanism for the non thermal X-ray emission of Cassiopeia A" by Greco et al. 2022, with DOI 10.3847/1538-4357/acf567. It aims at providing the most important data products to check and reproduce the main results of the paper.
DOI: 10.20372/aau_rdr/x7flqz/t3m73p
title: MIRU-VNTR & Spoligotype _ RDLT_777202.tab

description: :unav
DOI: 10.20372/aau_rdr/x7flqz
title: Mycobacterium tuberculosis (M. tuberculosis)

description: The data was Mycobacterium tuberculosis (M. tuberculosis) isolated from homeless individuals in Addis Ababa, Ethiopia. The Spoligotyping and 24-loci Mycobacterial Interspersed Repetitive Unit-Variable Number Tandem Repeat (MIRU-VNTR) typing were used for genotyping of the 59 isolates.
DOI: 10.5281/zenodo.10022346
title: Data of the Paper: Analytical Modeling and Empirical Validation of Performability of Service- and Cloud-Based Dynamic Routing Architecture Patterns

description: The online artifacts for the following article accepted at 30th Asia-Pacific Software Engineering Conference (APSEC 2023): 
"Analytical Modeling and Empirical Validation of Performability of Service- and Cloud-Based Dynamic Routing Architecture Patterns"
Abstract:
Many dynamic routing architectural patterns are available, including distributed routing, e.g., using the sidecar pattern, or centralized routing, e.g., using event stores or service buses. Different Quality-of-Service (QoS) factors influence routing schemas and technology selection, such as performance, reliability, scalability, and control properties offered by the patterns. An analytical model can formalize the QoS factors and facilitate the architectural decision-making when changing the routing scheme, i.e., to more distributed or centralized routing. So far, the impact of these architectural patterns on performability, i.e., the overall performance of a system with impeded reliability, has not been extensively studied. This is important because deciding to increase performance, e.g., by parallel processing of requests, may lead to decreased reliability because of the added points of a crash. We propose an analytical performability model during component crashes. For the empirical validation of our proposed model, we ran an extensive experiment of 2412 hours of runtime on a private cloud infrastructure and Google Cloud Platform. The low prediction error of 1.75\% indicates the high accuracy of our performability model. These results provide important insights when making architectural decisions regarding service- and cloud-based dynamic routing.
DOI: 10.5281/zenodo.7108003
title: Data of the Paper: Analytical Modeling and Empirical Validation of Performability of Service- and Cloud-Based Dynamic Routing Architecture Patterns

description: The online artifacts for the following article accepted at 30th Asia-Pacific Software Engineering Conference (APSEC 2023): 
"Analytical Modeling and Empirical Validation of Performability of Service- and Cloud-Based Dynamic Routing Architecture Patterns"
Abstract:
Many dynamic routing architectural patterns are available, including distributed routing, e.g., using the sidecar pattern, or centralized routing, e.g., using event stores or service buses. Different Quality-of-Service (QoS) factors influence routing schemas and technology selection, such as performance, reliability, scalability, and control properties offered by the patterns. An analytical model can formalize the QoS factors and facilitate the architectural decision-making when changing the routing scheme, i.e., to more distributed or centralized routing. So far, the impact of these architectural patterns on performability, i.e., the overall performance of a system with impeded reliability, has not been extensively studied. This is important because deciding to increase performance, e.g., by parallel processing of requests, may lead to decreased reliability because of the added points of a crash. We propose an analytical performability model during component crashes. For the empirical validation of our proposed model, we ran an extensive experiment of 2412 hours of runtime on a private cloud infrastructure and Google Cloud Platform. The low prediction error of 1.75\% indicates the high accuracy of our performability model. These results provide important insights when making architectural decisions regarding service- and cloud-based dynamic routing.
DOI: 10.5281/zenodo.7108004
title: Data of the Paper: Analytical Modeling and Empirical Validation of Performability of Service- and Cloud-Based Dynamic Routing Architecture Patterns

description: The online artifacts for the following article submitted to IEEE Transactions of Services Computing (2022): "Analytical Modeling and Empirical Validation of Performability of Service- and Cloud-Based Dynamic Routing Architecture Patterns" Abstract: Many dynamic routing architecture patterns are available including distributed routing, e.g., using the sidecar pattern, or centralized routing, e.g., using event stores or service buses. Different quality of service factors influence routing scheme and technology selection, such as performance, reliability, scalability and control properties offered by the patterns. An analytical model can formalize quality of service factors and facilitate the architectural decision making when changing the routing scheme, i.e., to a more distributed or centralized one. So far, the impact of these architecture patterns on performability, i.e., the overall performance of a system with impeded reliability, has not been extensively studied. This is important because making a decision to increase performance, e.g., by parallel processing of requests, may lead to decrease of reliability because of the added points of crash. We propose an analytical performability model of throughput during component crashes. For the empirical validation of our proposed model, we ran an extensive experiment of 2412 hours of runtime on a private cloud infrastructure and Google Cloud Platform. The very low prediction error of 0.57% indicates high accuracy of our analytical performability model. These results provide important new insights when making architectural decisions regarding service- and cloud-based dynamic routing.
DOI: 10.5517/ccdc.csd.cc2dynmn
title: CCDC 2233042: Experimental Crystal Structure Determination

description: Related Article: Susmita Singh, Debasmita Paul, Tanya Nishad, Rama Ranjan Bhattacharjee, Moupiya Ghosh, Sumi Ganguly, Soumyabrata Goswami|2023|Polyhedron|245|116639|doi:10.1016/j.poly.2023.116639
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.cc2f1tx7
title: CCDC 2236089: Experimental Crystal Structure Determination

description: Related Article: Akhil Chakravarty|2023|CSD Communication|||
description: Related Article: Avishek Jana, Subhadarsini Sahoo, Subhadeep Paul, Somarupa Sahoo, Chelliah Jayabaskaran, Akhil R. Chakravarty|2023|Polyhedron|245|116656|doi:10.1016/j.poly.2023.116656
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.cc2f9xth
title: CCDC 2243867: Experimental Crystal Structure Determination

description: Related Article: Francisco W.P. Santana, Ismael P.L. Xavier, Alejandro Pedro Ayala, Eduardo H.S. Sousa, Luiz G.F. Lopes, Alda K.M. Holanda|2023|Polyhedron|245|116660|doi:10.1016/j.poly.2023.116660
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.cc2g55qk
title: CCDC 2269098: Experimental Crystal Structure Determination

description: Related Article: Li-Li Man, Yi-Fan Ding, Xun Li, Li Tong, Wen-Kui Dong|2023|Polyhedron|245|116654|doi:10.1016/j.poly.2023.116654
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.cc2g55rl
title: CCDC 2269099: Experimental Crystal Structure Determination

description: Related Article: Li-Li Man, Yi-Fan Ding, Xun Li, Li Tong, Wen-Kui Dong|2023|Polyhedron|245|116654|doi:10.1016/j.poly.2023.116654
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.cc2g4nmx
title: CCDC 2268599: Experimental Crystal Structure Determination

description: Related Article: Francisco W.P. Santana, Ismael P.L. Xavier, Alejandro Pedro Ayala, Eduardo H.S. Sousa, Luiz G.F. Lopes, Alda K.M. Holanda|2023|Polyhedron|245|116660|doi:10.1016/j.poly.2023.116660
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.cc2g55sm
title: CCDC 2269100: Experimental Crystal Structure Determination

description: Related Article: Li-Li Man, Yi-Fan Ding, Xun Li, Li Tong, Wen-Kui Dong|2023|Polyhedron|245|116654|doi:10.1016/j.poly.2023.116654
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.cc2gbz1v
title: CCDC 2274657: Experimental Crystal Structure Determination

description: Related Article: Jörg Wagler, Robert Gericke|2023|Polyhedron|245|116663|doi:10.1016/j.poly.2023.116663
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.cc2fvwv1
title: CCDC 2260174: Experimental Crystal Structure Determination

description: Related Article: Dhan Raj Meena, Suman Meena, Surendra Singh|2023|Polyhedron|245|116655|doi:10.1016/j.poly.2023.116655
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.cc2gbz2w
title: CCDC 2274658: Experimental Crystal Structure Determination

description: Related Article: Jörg Wagler, Robert Gericke|2023|Polyhedron|245|116663|doi:10.1016/j.poly.2023.116663
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.cc2fvww2
title: CCDC 2260175: Experimental Crystal Structure Determination

description: Related Article: Dhan Raj Meena, Suman Meena, Surendra Singh|2023|Polyhedron|245|116655|doi:10.1016/j.poly.2023.116655
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.cc2g3vm2
title: CCDC 2267824: Experimental Crystal Structure Determination

description: Related Article: Necmi Dege|2023|CSD Communication|||
description: Related Article: Rashid Ilmi, Sevgi Kansız, Nawal K. Al Rasbi, John Husband, Necmi Dege, Muhammad S. Khan|2023|Polyhedron|246|116673|doi:10.1016/j.poly.2023.116673
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.cc2gjfl1
title: CCDC 2279913: Experimental Crystal Structure Determination

description: Related Article: Georgia G. Sands, Grace Ertle, Jimmy Mugemana, Richard J. Staples, John E. Bender, Shannon M. Biros|2023|Polyhedron|245|116659|doi:10.1016/j.poly.2023.116659
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.cc2gjfn3
title: CCDC 2279915: Experimental Crystal Structure Determination

description: Related Article: Georgia G. Sands, Grace Ertle, Jimmy Mugemana, Richard J. Staples, John E. Bender, Shannon M. Biros|2023|Polyhedron|245|116659|doi:10.1016/j.poly.2023.116659
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.