cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23508408
title: <strong>Embryonic development of natural annual killifish populations of the genus </strong><em><strong>Austrolebias</strong></em>

description: We present original data for the MS "Embryonic development of natural annual killifish populations of the genus<em> Austrolebias</em>: evolutionary parallelism and the role of environment".
DOI: 10.6084/m9.figshare.23508408.v2
title: <strong>Embryonic development of natural annual killifish populations of the genus </strong><em><strong>Austrolebias</strong></em>

description: We present original data for the MS "Embryonic development of natural annual killifish populations of the genus<em> Austrolebias</em>: evolutionary parallelism and the role of environment".
DOI: 10.6084/m9.figshare.23508408.v1
title: <strong>Embryonic development of natural annual killifish populations of the genus </strong><em><strong>Austrolebias</strong></em>

description: We present original data for the MS "Embryonic development of natural annual killifish populations of the genus<em> Austrolebias</em>: evolutionary parallelism and the role of environment".
DOI: 10.6084/m9.figshare.22691968
title: Supplementary Material for: Odds of Medical Comorbidities in Essential Tremor: Retrospective Analysis of a Large Claims Database in the United States

description: Introduction: Essential tremor (ET) is the most common tremor disorder, estimated to affect 7 million individuals in the U.S. There is little empirical evidence on comorbidities among this population beyond higher prevalence of brain-related and stress-related disorders. This study aims to examine differences in the prevalence of the 31 Elixhauser comorbidities among ET patients compared to statistically similar control patients. Methods: An extract from Optum’s de-identified Clinformatics® Data Mart Database (CDM) from 2018-2019 of adults aged 40 to 80 years with at least one claim with an ET diagnosis was propensity score matched to controls. Logistic regression was used to generate doubly robust adjusted odds ratios for each of the 31 Elixhauser comorbidities. Results: In these analyses, ET patients had significantly greater adjusted odds of depression, alcohol abuse, and other neurological disorders, as well as chronic pulmonary disease, renal failure, hyperthyroidism, and cardiac arrhythmias relative to controls. They also had lower odds of uncomplicated diabetes, congestive heart failure, metastatic cancer, paralysis, peripheral vascular disease, and fluid and electrolyte disorders. Conclusion: A number of recent studies, including our own, suggest that psychiatric, neurologic and stress-related disorders may be more prevalent among ET patients than controls. Additional differences in the prevalence of a range of medical comorbidities have also been variably reported across studies, suggesting that some combination of these might be more prevalent. Further studies would be of value in sorting through these associations.
DOI: 10.6084/m9.figshare.21176320.v1
title: code and data

description: the python scripts implement functions in section 5, and the data is a matrix for Table 2 in this paper.
DOI: 10.6084/m9.figshare.22691968.v1
title: Supplementary Material for: Odds of Medical Comorbidities in Essential Tremor: Retrospective Analysis of a Large Claims Database in the United States

description: Introduction: Essential tremor (ET) is the most common tremor disorder, estimated to affect 7 million individuals in the U.S. There is little empirical evidence on comorbidities among this population beyond higher prevalence of brain-related and stress-related disorders. This study aims to examine differences in the prevalence of the 31 Elixhauser comorbidities among ET patients compared to statistically similar control patients. Methods: An extract from Optum’s de-identified Clinformatics® Data Mart Database (CDM) from 2018-2019 of adults aged 40 to 80 years with at least one claim with an ET diagnosis was propensity score matched to controls. Logistic regression was used to generate doubly robust adjusted odds ratios for each of the 31 Elixhauser comorbidities. Results: In these analyses, ET patients had significantly greater adjusted odds of depression, alcohol abuse, and other neurological disorders, as well as chronic pulmonary disease, renal failure, hyperthyroidism, and cardiac arrhythmias relative to controls. They also had lower odds of uncomplicated diabetes, congestive heart failure, metastatic cancer, paralysis, peripheral vascular disease, and fluid and electrolyte disorders. Conclusion: A number of recent studies, including our own, suggest that psychiatric, neurologic and stress-related disorders may be more prevalent among ET patients than controls. Additional differences in the prevalence of a range of medical comorbidities have also been variably reported across studies, suggesting that some combination of these might be more prevalent. Further studies would be of value in sorting through these associations.
DOI: 10.6084/m9.figshare.23498706
title: Evolutionary Game Parameter Setting and Image Code Based on MATLAB Softwareled Item

description: Evolutionary Game Parameter Setting and Image Code Based on MATLAB Software
DOI: 10.6084/m9.figshare.23498706.v2
title: Evolutionary Game Parameter Setting and Image Code Based on MATLAB Softwareled Item

description: Evolutionary Game Parameter Setting and Image Code Based on MATLAB Software
DOI: 10.6084/m9.figshare.23498706.v1
title: Evolutionary Game Parameter Setting and Image Code Based on MATLAB Softwareled Item

description: Evolutionary Game Parameter Setting and Image Code Based on MATLAB Software
DOI: 10.5281/zenodo.7044674
title: Viral RefSeq mmseqs2 taxonomy database

description: Virus taxonomy database build for mmseqs2 taxonomy module
DOI: 10.5281/zenodo.7044673
title: Viral RefSeq mmseqs2 taxonomy database

description: Virus taxonomy database build for mmseqs2 taxonomy module
DOI: 10.7936/6rxs-103632
title: Mineral Products and Fluid Compositions From the Transformations of Iron(III) Minerals in Mars-Relevant Fluids

description: Vera Rubin ridge (VRR), located in Gale crater, Mars, contains coarse-grained (&gt;3-5 µm) gray hematite particles. VRR likely experienced multiple episodes of diagenesis in its past, some of which may have formed gray hematite from existing iron(III) minerals. The precursor mineralogy and diagenetic fluid conditions, however, are unknown. Experiments were performed on several iron(III) minerals (akaganeite, ferrihydrite, goethite, red hematite, jarosite, and schwertmannite) to simulate transformations in diagenetic fluid conditions. The solid transformation products were analyzed via powder X-ray diffraction, visible to near-infrared reflectance spectroscopy, and scanning electron microscopy. The compositions of the final fluids were determined via inductively-coupled plasma optical emission spectrometry. Final pH values of the fluid products were measured as well.
DOI: 10.6084/m9.figshare.21176320
title: code and data for <em>A Classification Scheme for Static Origin–Destination Data Visualizations</em>

description: the python scripts implement functions in section 5, and the data is a matrix for Table 2 in this paper.
DOI: 10.6084/m9.figshare.21176320.v2
title: code and data

description: the python scripts implement functions in section 5, and the data is a matrix for Table 2 in this paper.
DOI: 10.5517/ccdc.csd.cc2br1w1
title: CCDC 2167113: Experimental Crystal Structure Determination

description: Related Article: Shuyuan Mo, Zhangyan Huang, Zi Ye, Jie Yin, Sitian Zhang, Jun Yao, Yaxin Zhang, Zhihong Huang, Hanxiao Zeng, Zhengxi Hu, Jianping Wang, Yonghui Zhang|2023|Phytochemistry|212|113722|doi:10.1016/j.phytochem.2023.113722
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.cc2br1x2
title: CCDC 2167114: Experimental Crystal Structure Determination

description: Related Article: Shuyuan Mo, Zhangyan Huang, Zi Ye, Jie Yin, Sitian Zhang, Jun Yao, Yaxin Zhang, Zhihong Huang, Hanxiao Zeng, Zhengxi Hu, Jianping Wang, Yonghui Zhang|2023|Phytochemistry|212|113722|doi:10.1016/j.phytochem.2023.113722
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.cc2br1y3
title: CCDC 2167115: Experimental Crystal Structure Determination

description: Related Article: Shuyuan Mo, Zhangyan Huang, Zi Ye, Jie Yin, Sitian Zhang, Jun Yao, Yaxin Zhang, Zhihong Huang, Hanxiao Zeng, Zhengxi Hu, Jianping Wang, Yonghui Zhang|2023|Phytochemistry|212|113722|doi:10.1016/j.phytochem.2023.113722
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.cc2br1z4
title: CCDC 2167116: Experimental Crystal Structure Determination

description: Related Article: Shuyuan Mo, Zhangyan Huang, Zi Ye, Jie Yin, Sitian Zhang, Jun Yao, Yaxin Zhang, Zhihong Huang, Hanxiao Zeng, Zhengxi Hu, Jianping Wang, Yonghui Zhang|2023|Phytochemistry|212|113722|doi:10.1016/j.phytochem.2023.113722
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.cc2br206
title: CCDC 2167117: Experimental Crystal Structure Determination

description: Related Article: Shuyuan Mo, Zhangyan Huang, Zi Ye, Jie Yin, Sitian Zhang, Jun Yao, Yaxin Zhang, Zhihong Huang, Hanxiao Zeng, Zhengxi Hu, Jianping Wang, Yonghui Zhang|2023|Phytochemistry|212|113722|doi:10.1016/j.phytochem.2023.113722
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.cc2f8b46
title: CCDC 2242327: Experimental Crystal Structure Determination

description: Related Article: Alexa Caise, Jamie Hicks, Andreas Heilmann, Simon Aldridge|2023|Chem.Commun.|59|7251|doi:10.1039/D3CC01411H
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.cc2f8b57
title: CCDC 2242328: Experimental Crystal Structure Determination

description: Related Article: Alexa Caise, Jamie Hicks, Andreas Heilmann, Simon Aldridge|2023|Chem.Commun.|59|7251|doi:10.1039/D3CC01411H
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.cc2g160r
title: CCDC 2265263: Experimental Crystal Structure Determination

description: Related Article: Yue Fan|2011|Huaxue Shiji|33|409|
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.22277548
title: On the short and long phosphorescence lifetimes of aromatic carbonyls

description: <em>The datasets generated during the study of phosphorescence lifetimes of aromatic carbonyl compounds. </em> <br> <em>The molecules studied are:</em> <br> benzaldehyde (BA),<em> </em> 4-methylbenzaldehyde (MeBA), 4-methoxybenzaldehyde (MoBA), 4-dimethylaminobenzaldehyde (DMABA). <br> <em>The repository contains the Cartesian coordinate of stationary structures and the raw data of the NEA simulations of emission spectra. </em> <br> <em>The NEA phosphorescence method was implemented in Newton-X and is publicly available (</em>www.newtonx.org<em>).</em>
DOI: 10.5281/zenodo.7764435
title: Data for the article "Laser-Induced Creation of Antiferromagnetic 180-Degree Domains in NiO/Pt Bilayers"

description: The authors thank T. Reimer and L. Schnitzspan for skillful technical assistance and O. Gomonay for her comments. Experiments were performed at the CIRCE beamline at ALBA Synchrotron with the collaboration of ALBA staff. The authors thank HZB for the allocation of synchrotron radiation beamtime and thankfully acknowledge the financial support by HZB. The authors acknowledge the Paul Scherrer Institute, Villigen, Switzerland for the beamtime allocation under proposal 20211822 at the SIM beamline of the SLS. B.B. and A. R. acknowledge funding from the European Union’s Framework Programme for Research and Innovation Horizon 2020 (2014–2020) under the Marie Skłodowska- Curie Grant Agreement No. 860060 (ITN MagnEFi). M.K. acknowledges support from the Graduate School of Excellence Materials Science in Mainz (MAINZ) DFG 266, the DAAD (Spintronics network, Project No. 57334897 and Insulator Spin-Orbitronics, Project No. 57524834), and all groups from Mainz and Kaiserslautern acknowledge that this work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), TRR 173-268565370 (Project Nos. A01, A08, B02 and B03) and KAUST (OSR-2019-CRG8-4048). B.S. further acknowledges funding by the Dynamics and Topology Research Center (TopDyn) funded by the State of Rhineland Palatinate. M.K. acknowledges financial support from the Horizon 2020 Framework Programme of the European Commission under FET-Open Grant Agreement No. 863155 (s-Nebula). This work was also supported by ERATO “Spin Quantum Rectification Project” (Grant No. JPMJER1402) and the Grant-in-Aid for Scientific Research on Innovative Area, “Nano Spin Conversion Science” (Grant No. JP26103005), Grant-in-Aid for Scientific Research (S) (Grant No. JP19H05600) from JSPS KAKENHI, Japan. M.A.N. and M.F. acknowledge Spanish ICNN funding through project ECLIPSE (PID2021- 122980OB-C54). R.R. also acknowledges support from the Grant RYC 2019-026915-I, the Project TED2021-130930B-I00 funded by thee MCIN/ AEI/10.13039/501100011033 and by the ESF investing in your future and the European Union NextGenerationEU/PRTR, the Xunta de Galicia (ED431F 2022/04, ED431B 2021/013, Centro Singular de Investigación de Galicia Accreditation 2019-2022, ED431G 2019/03) and the European Union (European Regional Development Fund - ERDF)
DOI: 10.5281/zenodo.7764434
title: Data for the article "Laser-Induced Creation of Antiferromagnetic 180-Degree Domains in NiO/Pt Bilayers"

description: The authors thank T. Reimer and L. Schnitzspan for skillful technical assistance and O. Gomonay for her comments. Experiments were performed at the CIRCE beamline at ALBA Synchrotron with the collaboration of ALBA staff. The authors thank HZB for the allocation of synchrotron radiation beamtime and thankfully acknowledge the financial support by HZB. The authors acknowledge the Paul Scherrer Institute, Villigen, Switzerland for the beamtime allocation under proposal 20211822 at the SIM beamline of the SLS. B.B. and A. R. acknowledge funding from the European Union’s Framework Programme for Research and Innovation Horizon 2020 (2014–2020) under the Marie Skłodowska- Curie Grant Agreement No. 860060 (ITN MagnEFi). M.K. acknowledges support from the Graduate School of Excellence Materials Science in Mainz (MAINZ) DFG 266, the DAAD (Spintronics network, Project No. 57334897 and Insulator Spin-Orbitronics, Project No. 57524834), and all groups from Mainz and Kaiserslautern acknowledge that this work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), TRR 173-268565370 (Project Nos. A01, A08, B02 and B03) and KAUST (OSR-2019-CRG8-4048). B.S. further acknowledges funding by the Dynamics and Topology Research Center (TopDyn) funded by the State of Rhineland Palatinate. M.K. acknowledges financial support from the Horizon 2020 Framework Programme of the European Commission under FET-Open Grant Agreement No. 863155 (s-Nebula). This work was also supported by ERATO “Spin Quantum Rectification Project” (Grant No. JPMJER1402) and the Grant-in-Aid for Scientific Research on Innovative Area, “Nano Spin Conversion Science” (Grant No. JP26103005), Grant-in-Aid for Scientific Research (S) (Grant No. JP19H05600) from JSPS KAKENHI, Japan. M.A.N. and M.F. acknowledge Spanish ICNN funding through project ECLIPSE (PID2021- 122980OB-C54). R.R. also acknowledges support from the Grant RYC 2019-026915-I, the Project TED2021-130930B-I00 funded by thee MCIN/ AEI/10.13039/501100011033 and by the ESF investing in your future and the European Union NextGenerationEU/PRTR, the Xunta de Galicia (ED431F 2022/04, ED431B 2021/013, Centro Singular de Investigación de Galicia Accreditation 2019-2022, ED431G 2019/03) and the European Union (European Regional Development Fund - ERDF)
DOI: 10.5281/zenodo.7134349
title: Data for the article "Strain-induced shape anisotropy in antiferromagnetic structures"

description: Data for the article "Strain-induced shape anisotropy in antiferromagnetic structures" URL: https://link.aps.org/doi/10.1103/PhysRevB.106.094430<br> DOI: 10.1103/PhysRevB.106.094430
description: The authors thank T. Reimer for skillful technical as- sistance. We thank HZB for the allocation of synchrotron radiation beam time, and we thankfully acknowledge the fi- nancial support by HZB. The work has benefited from insights gained from experiments that were performed at the CIRCE beamline at ALBA Synchrotron with the collaboration of ALBA staff. L.B. acknowledges the European Union's Hori- zon 2020 research and innovation program under the Marie Skłodowska-Curie Grant Agreement No. ARTES 793159. L.B. and M.K. acknowledge support from the Graduate School of Excellence Materials Science in Mainz (MAINZ) Grant No. DFG 266, the DAAD (Spintronics network, Project No. 57334897 and Insulator Spin-Orbitronics, Project No. 57524834), and all groups from Mainz acknowledge that this work was funded by the Deutsche Forschungsgemein- schaft (DFG, German Research Foundation), TRR Grant No. 173-268565370 (Projects No. A01, No. A03, No. A11, No. B02, and No. B12) and KAUST (Grant No. OSR-2019- CRG8-4048). J.S. additionally acknowledges the Alexander von Humboldt Foundation and O.G and J.S. acknowledge the EU FET Open RIA Grant No. 766566 and the Deutsche Forschungsgemeinschaft (DFG, German Research Founda- tion), Grant No. TRR 288-422213477 (Project No. A09) and the Grant Agency of the Czech Republic Grant No. 19- 28375X. R.R. also acknowledges support from the European Commission through the Project 734187-SPICOLOST (Grant No. H2020-MSCA-RISE-2016), the European Union's Hori- zon 2020 research and innovation program through the Marie Sklodowska-Curie Actions Grant Agreement No. SPEC 894006, the MCIN/AEI (Grant No. RYC 2019-026915-I), the Xunta de Galicia (Grant No. ED431B 2021/013, Centro Singular de Investigación de Galicia Accreditation 2019- 2022, Grant No. ED431G 2019/03), and the European Union [European Regional Development Fund (ERDF)]. M.K. acknowledges financial support from the Horizon 2020 Framework Programme of the European Commission un- der FET-Open Grant Agreement No. 863155 (s-Nebula) and from the Research Council of Norway through its Cen- ters of Excellence funding scheme, Project No. 262633 "QuSpin." This work was also supported by ERATO "Spin Quantum Rectification Project" (Grant No. JPMJER1402) and the Grant-in-Aid for Scientific Research on Innova- tive Area, "Nano Spin Conversion Science" (Grant No. JP26103005), Grant-in-Aid for Scientific Research (S) (Grant No. JP19H05600) from JSPS KAKENHI, Japan.
DOI: 10.5281/zenodo.7134350
title: Data for the article "Strain-induced shape anisotropy in antiferromagnetic structures"

description: Data for the article "Strain-induced shape anisotropy in antiferromagnetic structures" URL: https://link.aps.org/doi/10.1103/PhysRevB.106.094430<br> DOI: 10.1103/PhysRevB.106.094430
description: The authors thank T. Reimer for skillful technical as- sistance. We thank HZB for the allocation of synchrotron radiation beam time, and we thankfully acknowledge the fi- nancial support by HZB. The work has benefited from insights gained from experiments that were performed at the CIRCE beamline at ALBA Synchrotron with the collaboration of ALBA staff. L.B. acknowledges the European Union's Hori- zon 2020 research and innovation program under the Marie Skłodowska-Curie Grant Agreement No. ARTES 793159. L.B. and M.K. acknowledge support from the Graduate School of Excellence Materials Science in Mainz (MAINZ) Grant No. DFG 266, the DAAD (Spintronics network, Project No. 57334897 and Insulator Spin-Orbitronics, Project No. 57524834), and all groups from Mainz acknowledge that this work was funded by the Deutsche Forschungsgemein- schaft (DFG, German Research Foundation), TRR Grant No. 173-268565370 (Projects No. A01, No. A03, No. A11, No. B02, and No. B12) and KAUST (Grant No. OSR-2019- CRG8-4048). J.S. additionally acknowledges the Alexander von Humboldt Foundation and O.G and J.S. acknowledge the EU FET Open RIA Grant No. 766566 and the Deutsche Forschungsgemeinschaft (DFG, German Research Founda- tion), Grant No. TRR 288-422213477 (Project No. A09) and the Grant Agency of the Czech Republic Grant No. 19- 28375X. R.R. also acknowledges support from the European Commission through the Project 734187-SPICOLOST (Grant No. H2020-MSCA-RISE-2016), the European Union's Hori- zon 2020 research and innovation program through the Marie Sklodowska-Curie Actions Grant Agreement No. SPEC 894006, the MCIN/AEI (Grant No. RYC 2019-026915-I), the Xunta de Galicia (Grant No. ED431B 2021/013, Centro Singular de Investigación de Galicia Accreditation 2019- 2022, Grant No. ED431G 2019/03), and the European Union [European Regional Development Fund (ERDF)]. M.K. acknowledges financial support from the Horizon 2020 Framework Programme of the European Commission un- der FET-Open Grant Agreement No. 863155 (s-Nebula) and from the Research Council of Norway through its Cen- ters of Excellence funding scheme, Project No. 262633 "QuSpin." This work was also supported by ERATO "Spin Quantum Rectification Project" (Grant No. JPMJER1402) and the Grant-in-Aid for Scientific Research on Innova- tive Area, "Nano Spin Conversion Science" (Grant No. JP26103005), Grant-in-Aid for Scientific Research (S) (Grant No. JP19H05600) from JSPS KAKENHI, Japan.