cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23131421.v1
title: Gene database of Fructilactobacillus sanfranciscensis

description: This work describes the gene database of <em>Fructilactobacillus sanfranciscensis</em>. Original annotated genome file of the species was obtained from Genbank, and processed by an in-house MATLAB gene database analysis software to reveal gene name, gene function and gene sequence for each gene across the genome of the species. It is hoped that the data encapsulated herein will help inform future research seeking to understand the physiology of this microorganism.
DOI: 10.5517/ccdc.csd.cc1lprjk
title: CCDC 1480669: Experimental Crystal Structure Determination

description: Related Article: Abhineet Verma, Daichi Enomoto, Koichi Iwata, Satyen Saha|2023|J.Phys.Chem.B|127|4154|doi:10.1021/acs.jpcb.3c01674
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.cc1lprdf
title: CCDC 1480665: Experimental Crystal Structure Determination

description: Related Article: Abhineet Verma, Daichi Enomoto, Koichi Iwata, Satyen Saha|2023|J.Phys.Chem.B|127|4154|doi:10.1021/acs.jpcb.3c01674
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.cc27gxf2
title: CCDC 2069914: Experimental Crystal Structure Determination

description: Related Article: Abhineet Verma, Daichi Enomoto, Koichi Iwata, Satyen Saha|2023|J.Phys.Chem.B|127|4154|doi:10.1021/acs.jpcb.3c01674
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.cc27h070
title: CCDC 2070001: Experimental Crystal Structure Determination

description: Related Article: Abhineet Verma, Daichi Enomoto, Koichi Iwata, Satyen Saha|2023|J.Phys.Chem.B|127|4154|doi:10.1021/acs.jpcb.3c01674
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.cc2967qh
title: CCDC 2121166: Experimental Crystal Structure Determination

description: Related Article: O. Stephen Ojo, David L. Hughes, Christopher J. Richards|2023|Org.Biomol.Chem.|21|4144|doi:10.1039/D3OB00563A
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.cc2967rj
title: CCDC 2121167: Experimental Crystal Structure Determination

description: Related Article: O. Stephen Ojo, David L. Hughes, Christopher J. Richards|2023|Org.Biomol.Chem.|21|4144|doi:10.1039/D3OB00563A
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.cc2brd6q
title: CCDC 2167433: Experimental Crystal Structure Determination

description: Related Article: Kena Zhang, Qiushuang Wang, Yuanyuan Gong, Nairong Wang, Xia Li|2023|CrystEngComm|25|3033|doi:10.1039/D3CE00179B
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.cc2bwx38
title: CCDC 2171770: Experimental Crystal Structure Determination

description: Related Article: Baoshan Hou, Shuyi Yang, Bo Li, Guangfu Li, Haiyan Zheng, Chao Qin, Guogang Shan, Zhongmin Su, Xinlong Wang|2022|Inorg.Chem.Front.|9|4376|doi:10.1039/D2QI01103D
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.cc2by3m1
title: CCDC 2172933: Experimental Crystal Structure Determination

description: Related Article: Xiaodan Jia, Jun Jiang, Lulu Liu, Lina Meng, Lijuan Chen, Junwei Zhao|2022|Inorg.Chem.|61|10965|doi:10.1021/acs.inorgchem.2c01682
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.cc2by3n2
title: CCDC 2172934: Experimental Crystal Structure Determination

description: Related Article: Xiaodan Jia, Jun Jiang, Lulu Liu, Lina Meng, Lijuan Chen, Junwei Zhao|2022|Inorg.Chem.|61|10965|doi:10.1021/acs.inorgchem.2c01682
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: 10.14272/osmxvzqqwfmtpk-pepzgxqesa-n.1
title: C18H26N2O6
title: InChI=1S/C18H26N2O6/c1-17(2)8-12(20-14(22)5-7-16(25)26)9-18(3,10-17)11-19-13(21)4-6-15(23)24/h4-7,12H,8-11H2,1-3H3,(H,19,21)(H,20,22)(H,23,24)(H,25,26)/b6-4-,7-5-

description: This is a physical chemical entity[CHEBI_24431] associated with a molecule[CHEBI_25367]. The molecule[CHEBI_25367] can be described by the following structural desciptors[cheminf_000085]: InChI descriptor[cheminf_000113]: InChI=1S/C18H26N2O6/c1-17(2)8-12(20-14(22)5-7-16(25)26)9-18(3,10-17)11-19-13(21)4-6-15(23)24/h4-7,12H,8-11H2,1-3H3,(H,19,21)(H,20,22)(H,23,24)(H,25,26)/b6-4-,7-5-, and canonical SMILES descriptor[cheminf_000007]: O=C(NCC1(C)CC(NC(=O)/C=C\C(=O)O)CC(C1)(C)C)/C=C\C(=O)O, and by the IUPAC name[cheminf_000107]: . The physical chemical entity[CHEBI_24431] has a component solvent[CHEBI_46787] which is described by the canonical SMILES descriptor[cheminf_000007]: O=C(NCC1(C)CC(NC(=O)/C=C\C(=O)O)CC(C1)(C)C)/C=C\C(=O)O The physical chemical entity[CHEBI_24431] has the following Sample ID as registered in the research data repository chemotion (www.chemotion-repository.net, https://doi.org/10.25504/FAIRsharing.iagXcR): CRS-15023 The physical chemical entity[CHEBI_24431] can be described by the physical descriptors [CHEMINF_000025]: Melting point descriptor[CHEMINF_000256]: Boiling point descriptor[CHEMINF_000257]: Refractive index descriptor[CHEMINF_000253]: The physical chemical entity[CHEBI_24431] can be further described by the following assays[OBI:0000070][CHMO:0001133]: CHMO:0000593 | 1H nuclear magnetic resonance spectroscopy (1H NMR) CHMO:0000595 | 13C nuclear magnetic resonance spectroscopy (13C NMR) CHMO:0001150 | 1H--1H correlation spectroscopy (1H-1H COSY) CHMO:0000596 | distortionless enhancement with polarization transfer (DEPT) CHMO:0000630 | infrared absorption spectroscopy (IR) CHMO:0000470 | mass spectrometry (MS) CHMO:0000690 | thermogravimetry (TG) The physical chemical entity[CHEBI_24431] was deposited to the Molecule Archive of the Karlsruhe Insitute of Technology (KIT) with the following Sample ID: ComP-15606 Used ontologies: CHEBI - Chemical Entities of Biological Interest CHEMINF - chemical information ontology (information entities about chemical entities) CHMO - Chemical Methods Ontology OBI - Ontology for Biomedical Investigations
DOI: 10.5445/ir/1000158540
title: Data set for the research article "Particle shapes and infrared extinction spectra of nitric acid dihydrate crystals: Optical constants of the β-NAD modification" by Wagner et al. (2023) in Atmospheric Chemistry and Physics
DOI: 10.5281/zenodo.7825059
title: Nonlinear THz Control of the Lead Halide Perovskite Lattice - Experimental data

description: Experimental data for the paper "<strong>Nonlinear THz Control of the Lead Halide Perovskite Lattice</strong>", published with open-access in <em>Science Advances</em> under https://doi.org/10.1126/sciadv.adg3856 The data was measured at the Department of Physical Chemistry, Fritz Haber Institute of the Max Planck Society in Berlin. Contents: THz E-field data from Fig. 1 THz-induced Kerr effect time domain data, fluence dependence, azimuthal angle dependence, and corresponding THz fields for MAPbBr3 and CsPbBr3 at room temperature from Fig. 2. THz-induced Kerr effect time domain data for MAPbBr3 single crystals and thin films for room temperature, 180K and 80K from Fig. 3. THz-induced Kerr effect experimental data and simulated Kerr signals from Fig. 4. THz-induced Kerr effect time domain data for MAPbBr3 single crystal at different THz fluences from Fig. 5a. Raw data and data of the Supplementary Materials (SM) will be provided upon request. Please contact Maximilian Frenzel (frenzel@fhi-berlin.mpg.de) and Sebastian F. Maehrlein (maehrlein@fhi-berlin.mpg.de) for such a request or for general questions.
description: S.F.M. acknowledges funding for his Emmy Noether group from the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation, Nr. 469405347). S.F.M and L.P acknowledge support of the 2D-HYPE project from the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation, Nr. 490867834) and Agence Nationale de la Recherche (ANR, Nr. ANR-21-CE30-0059), respectively. XYZ acknowledges support by the Vannevar Bush Faculty Fellowship through Office of Naval Research Grant # N00014-18-1-2080. M.C. was supported by the DAAD Scholarship 57507869.
DOI: 10.5281/zenodo.7825060
title: Nonlinear THz Control of the Lead Halide Perovskite Lattice - Experimental data

description: Experimental data for the paper "<strong>Nonlinear THz Control of the Lead Halide Perovskite Lattice</strong>", published with open-access in <em>Science Advances</em> under https://doi.org/10.1126/sciadv.adg3856 The data was measured at the Department of Physical Chemistry, Fritz Haber Institute of the Max Planck Society in Berlin. Contents: THz E-field data from Fig. 1 THz-induced Kerr effect time domain data, fluence dependence, azimuthal angle dependence, and corresponding THz fields for MAPbBr3 and CsPbBr3 at room temperature from Fig. 2. THz-induced Kerr effect time domain data for MAPbBr3 single crystals and thin films for room temperature, 180K and 80K from Fig. 3. THz-induced Kerr effect experimental data and simulated Kerr signals from Fig. 4. THz-induced Kerr effect time domain data for MAPbBr3 single crystal at different THz fluences from Fig. 5a. Raw data and data of the Supplementary Materials (SM) will be provided upon request. Please contact Maximilian Frenzel (frenzel@fhi-berlin.mpg.de) and Sebastian F. Maehrlein (maehrlein@fhi-berlin.mpg.de) for such a request or for general questions.
description: S.F.M. acknowledges funding for his Emmy Noether group from the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation, Nr. 469405347). S.F.M and L.P acknowledge support of the 2D-HYPE project from the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation, Nr. 490867834) and Agence Nationale de la Recherche (ANR, Nr. ANR-21-CE30-0059), respectively. XYZ acknowledges support by the Vannevar Bush Faculty Fellowship through Office of Naval Research Grant # N00014-18-1-2080. M.C. was supported by the DAAD Scholarship 57507869.
DOI: 10.5281/zenodo.7835020
title: Data and code for "Single-Atom Dopants in Plasmonic Nanocatalysts"

description: The data includes atomic structures, photoabsorption spectra, densities of states, and hot-carrier distributions of the systems modeled in the article "Single-Atom Dopants in Plasmonic Nanocatalysts" by Daniel Sorvisto <em>et al</em>. The input scripts for reproducing the data are also included. See <em>README.md</em> in the archive for a detailed description.
DOI: 10.5281/zenodo.7835021
title: Data and code for "Single-Atom Dopants in Plasmonic Nanocatalysts"

description: The data includes atomic structures, photoabsorption spectra, densities of states, and hot-carrier distributions of the systems modeled in the article "Single-Atom Dopants in Plasmonic Nanocatalysts" by Daniel Sorvisto <em>et al</em>. The input scripts for reproducing the data are also included. See <em>README.md</em> in the archive for a detailed description.
DOI: 10.5281/zenodo.7965673
title: Epistemic Insight Initiative Data set: Findings from a hands-on science intervention to build school students' agency and epistemic insight into the power and limitations of science.

description: Data set that reports on the Findings from a hands-on science intervention to build school students’ agency and epistemic insight into the power and limitations of science. We report on an empirical study that sought to address three questions: A study to extend the cognitive science of insight into the field of children’s developing understanding of the power and limitations of science A study to examine the effectiveness of the Epistemic Insight (EI) strategy which is designed to give each child hands-on, minds-on science A study to examine the effectiveness of the EI strategy to sustain science activity in schools during the challenging conditions of the pandemic 1919 children and 63 teachers from 24 schools in England took part in the project. This includes both primary and secondary schools. The data reported here are taken from ten primary schools representing 1045 children aged 8-12 in years 4 to 7.
DOI: 10.5281/zenodo.7965672
title: Epistemic Insight Initiative Data set: Findings from a hands-on science intervention to build school students' agency and epistemic insight into the power and limitations of science.

description: Data set that reports on the Findings from a hands-on science intervention to build school students’ agency and epistemic insight into the power and limitations of science. We report on an empirical study that sought to address three questions: A study to extend the cognitive science of insight into the field of children’s developing understanding of the power and limitations of science A study to examine the effectiveness of the Epistemic Insight (EI) strategy which is designed to give each child hands-on, minds-on science A study to examine the effectiveness of the EI strategy to sustain science activity in schools during the challenging conditions of the pandemic 1919 children and 63 teachers from 24 schools in England took part in the project. This includes both primary and secondary schools. The data reported here are taken from ten primary schools representing 1045 children aged 8-12 in years 4 to 7.
DOI: 10.5281/zenodo.7181681
title: Diachronic word embeddings from 19th-century newspapers digitised by the British Library (1800-1919)

description: Word vectors related to the paper <em>Machines in the media: semantic change in the lexicon of mechanization in 19th-century British newspapers </em>by Nilo Pedrazzini and Barbara McGillivray (2022). The embeddings were trained on a 4.2-billion-word corpus of 19th-century British newspapers using Word2Vec and the following parameters: <pre><code>sg = True min_count = 1 window = 3 vector_size = 200 epochs = 5</code></pre> The embeddings are divided into periods of ten years each, with the vectors from each decade aligned to the ones from the most recent decade (1910s) using Orthogonal Procrustes. See related GitHub repository for the full documentation: https://github.com/Living-with-machines/DiachronicEmb-BigHistData Project webpage (Living with Machines): https://livingwithmachines.ac.uk/
description: {"references": ["Pedrazzini, Nilo and Barbara McGillivray. 2022. Machines in the media: semantic change in the lexicon of mechanization in 19th-century British newspapers. In Proceedings of the 2nd International Workshop on Natural Language Processing for Digital Humanities, pages 85\u201395, Taipei, Taiwan. Association for Computational Linguistics.", "\u0158eh\u016f\u0159ek, Radim and Petr Sojka. 2010. Software Framework for Topic Modelling with Large Corpora. In Proceedings of the LREC 2010 Workshop on New Challenges for NLP Frameworks, pages 45\u2013 50, Valletta, Malta. ELRA. http://is.muni.cz/ publication/884893/en.", "Mikolov, Tomas, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013. Efficient estimation of word representations in vector space."]}
DOI: 10.5281/zenodo.7965699
title: SciExpeM - 10.5281/zenodo.7965699

description: Marrodán, Lorena, 0000-0002-7767-3057; Royo, Eduardo; Millera, Ángela; Bilbao, Rafael; Alzueta, María U. - Energy & Fuels, 2015, (29), 3507-3517
DOI: 10.5281/zenodo.7965698
title: SciExpeM - 10.5281/zenodo.7965699

description: Marrodán, Lorena, 0000-0002-7767-3057; Royo, Eduardo; Millera, Ángela; Bilbao, Rafael; Alzueta, María U. - Energy & Fuels, 2015, (29), 3507-3517
DOI: 10.5281/zenodo.7887305
title: Decade-level Word2Vec models from automatically transcribed 19th-century newspapers digitised by the British Library (1800-1919)

description: Word embeddings trained on a 4.2-billion-word corpus of 19th-century British newspapers using Word2Vec and the following parameters: <pre><code>sg = True min_count = 5 window = 5 vector_size = 100 epochs = 5</code></pre> The embeddings are divided into periods of ten years each. Unlike those in this repository, these were not aligned and OCR errors skimmed from the vocabulary. See related GitHub repository for the full documentation: https://github.com/Living-with-machines/DiachronicEmb-BigHistData Project website (Living with Machines): https://livingwithmachines.ac.uk/
description: {"references": ["Mikolov, Tomas, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013. Efficient estimation of word representations in vector space.", "\u0158eh\u016f\u0159ek, Radim and Petr Sojka. 2010. Software Framework for Topic Modelling with Large Corpora. In Proceedings of the LREC 2010 Workshop on New Challenges for NLP Frameworks, pages 45\u2013 50, Valletta, Malta. ELRA. http://is.muni.cz/ publication/884893/en.", "Pedrazzini, Nilo and Barbara McGillivray. 2022. Machines in the media: semantic change in the lexicon of mechanization in 19th-century British newspapers. In Proceedings of the 2nd International Workshop on Natural Language Processing for Digital Humanities, pages 85\u201395, Taipei, Taiwan. Association for Computational Linguistics."]}
DOI: 10.5281/zenodo.7887304
title: Decade-level Word2Vec models from automatically transcribed 19th-century newspapers digitised by the British Library (1800-1919)

description: Word embeddings trained on a 4.2-billion-word corpus of 19th-century British newspapers using Word2Vec and the following parameters: <pre><code>sg = True min_count = 5 window = 5 vector_size = 100 epochs = 5</code></pre> The embeddings are divided into periods of ten years each. Unlike those in this repository, these were not aligned and OCR errors skimmed from the vocabulary. See related GitHub repository for the full documentation: https://github.com/Living-with-machines/DiachronicEmb-BigHistData Project website (Living with Machines): https://livingwithmachines.ac.uk/
description: {"references": ["Mikolov, Tomas, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013. Efficient estimation of word representations in vector space.", "\u0158eh\u016f\u0159ek, Radim and Petr Sojka. 2010. Software Framework for Topic Modelling with Large Corpora. In Proceedings of the LREC 2010 Workshop on New Challenges for NLP Frameworks, pages 45\u2013 50, Valletta, Malta. ELRA. http://is.muni.cz/ publication/884893/en.", "Pedrazzini, Nilo and Barbara McGillivray. 2022. Machines in the media: semantic change in the lexicon of mechanization in 19th-century British newspapers. In Proceedings of the 2nd International Workshop on Natural Language Processing for Digital Humanities, pages 85\u201395, Taipei, Taiwan. Association for Computational Linguistics."]}
DOI: 10.25345/c5n010412
title: MassIVE MSV000092025 - A simplified and optimized quantitative-proteomics workflow to analyze metabolic adaptation in mycobacteria
title: Mycobacterium Smegmatis was grown under different growth conditions to investigate differential expression of proteins.
DOI: 10.4121/10fc3a10-37aa-4292-818d-468b940b2bb7.v1
title: Coded Dataset of a Literature Review on Learning Sequence Analysis

description: Coded dataset of a literature review on the use of sequential analysis in learning analytics and educational data mining research. The analysis was performed on 44 publications from 2006 to 2022, obtained from queries on SCOPUS and Web of Science. Visit the literature review for detailed information about the search terms, inclusion rules, and coding categories.<br>The worksheet named 'Finished' contains the data that resulted in the analysis and interpretation of the literature review, while the 'Raw' worksheet contains the information as it was extracted from Atlas.ti, where it was originally coded.