cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21285264
title: Supporting material for publication: The adaptability of the ion binding site by the Ag(I)/Cu(I) periplasmic chaperone SilF

description: Supporting material for publication: The adaptability of the ion binding site by the Ag(I)/Cu(I) periplasmic chaperone SilF by Ryan M. Lithgo, Marko Hanzevacki, Gemma Harris, Jos J. A. G. Kamps, Ellie Holden, Justin LP Benesch, Christof M. Jäger, Anna Croft, Jonathan L. Hobman, Andrew Quigleybcd, Stephen B. Carr, David J. Scott <br> Computational supporting data consisting of: <br> - Molecular dynamics and QM/MM input, parameter, coordinates, and parameter files - Force field parameterisation files - run-scripts for setup and production runs - coordinate output files for QM/MM calcuations - analysis scripts and results
DOI: 10.6084/m9.figshare.21285264.v1
title: Supporting material for publication: The adaptability of the ion binding site by the Ag(I)/Cu(I) periplasmic chaperone SilF

description: Supporting material for publication: The adaptability of the ion binding site by the Ag(I)/Cu(I) periplasmic chaperone SilF by Ryan M. Lithgo, Marko Hanzevacki, Gemma Harris, Jos J. A. G. Kamps, Ellie Holden, Justin LP Benesch, Christof M. Jäger, Anna Croft, Jonathan L. Hobman, Andrew Quigleybcd, Stephen B. Carr, David J. Scott <br> Computational supporting data consisting of: <br> - Molecular dynamics and QM/MM input, parameter, coordinates, and parameter files - Force field parameterisation files - run-scripts for setup and production runs - coordinate output files for QM/MM calcuations - analysis scripts and results
DOI: 10.5281/zenodo.7149559
title: Datasets for the paper "Model-based parameter analysis of dielectric elastomer loudspeakers"

description: This upload contains the numerical datasets used for the numerical plots reported in the paper "Model-based parameter analysis of dielectric elastomer loudspeakers" by G. Moretti et al., In <em>2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)</em> (10.1109/AIM52237.2022.9863404). Please refer to the readme file for information on the files structure and content.
description: This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 893674 (DEtune)
DOI: 10.5281/zenodo.7149560
title: Datasets for the paper "Model-based parameter analysis of dielectric elastomer loudspeakers"

description: This upload contains the numerical datasets used for the numerical plots reported in the paper "Model-based parameter analysis of dielectric elastomer loudspeakers" by G. Moretti et al., In <em>2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)</em> (10.1109/AIM52237.2022.9863404). Please refer to the readme file for information on the files structure and content.
description: This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 893674 (DEtune)
DOI: 10.5281/zenodo.7149735
title: Datasets for the paper "A linear parameter-varying modelling approach for dielectric elastomer loudspeakers"

description: This upload contains the numerical datasets used for the numerical plots reported in the paper "A linear parameter-varying modelling approach for dielectric elastomer loudspeakers" by G. Moretti et al., In <em>IFAC-PapersOnLine Volume 55, Issue 20, 2022</em> (https://doi.org/10.1016/j.ifacol.2022.09.150). Please refer to the readme file for information on the files structure and content.
description: This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 893674 (DEtune)
DOI: 10.5281/zenodo.7149736
title: Datasets for the paper "A linear parameter-varying modelling approach for dielectric elastomer loudspeakers"

description: This upload contains the numerical datasets used for the numerical plots reported in the paper "A linear parameter-varying modelling approach for dielectric elastomer loudspeakers" by G. Moretti et al., In <em>IFAC-PapersOnLine Volume 55, Issue 20, 2022</em> (https://doi.org/10.1016/j.ifacol.2022.09.150). Please refer to the readme file for information on the files structure and content.
description: This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 893674 (DEtune)
DOI: 10.5281/zenodo.7149481
title: Datasets for the paper "Finite element modelling of the vibro-acoustic response in dielectric elastomer membranes"

description: This upload contains the numerical datasets used for the numerical plots reported in the paper "Finite element modelling of the vibro-acoustic response in dielectric elastomer membranes" by G. Moretti et al., In <em>Electroactive Polymer Actuators and Devices (EAPAD) XXIV</em> (https://doi.org/10.1117/12.2612784). Please refer to the readme file for information on the files structure and content.
description: This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 893674 (DEtune)
DOI: 10.5281/zenodo.7149480
title: Datasets for the paper "Finite element modelling of the vibro-acoustic response in dielectric elastomer membranes"

description: This upload contains the numerical datasets used for the numerical plots reported in the paper "Finite element modelling of the vibro-acoustic response in dielectric elastomer membranes" by G. Moretti et al., In <em>Electroactive Polymer Actuators and Devices (EAPAD) XXIV</em> (https://doi.org/10.1117/12.2612784). Please refer to the readme file for information on the files structure and content.
description: This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 893674 (DEtune)
DOI: 10.3886/e152203v1-128680
title: Data and Code for: Migrants and Firms: Evidence from China

description: This project provides data and code used in the article "Migrants and Firms: Evidence from China"<br> <br>Abstract: How does rural-urban migration shape urban production in developing countries? We use longitudinal data on Chinese manufacturing firms between 2000 and 2006, and exploit exogenous variation in rural-urban migration induced by agricultural income shocks for identification. We find that, when immigration increases, manufacturing production becomes more labor-intensive and productivity declines. We investigate the reorganization of production using patent applications and product information. We show that rural-urban migration induces both labor-oriented technological change and the adoption of labor intensive product varieties.<br><br><br>
description: Above-scale manufacturing firms in China<br>.
DOI: 10.5281/zenodo.5796539
title: Datasets for the paper "High-frequency voltage-driven vibrations in dielectric elastomer membranes" by G. Moretti et al.

description: This upload contains the numerical datasets used for the numerical plots reported in the paper "High-frequency voltage-driven vibrations in dielectric elastomer membranes" by G. Moretti et al., Mechanical Systems and Signal Processing, Elsevier, 2022 (https://doi.org/10.1016/j.ymssp.2021.108677). Please refer to the readme file for information on the files structures and content.
description: This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 893674 (DEtune)
DOI: 10.5281/zenodo.5796540
title: Datasets for the paper "High-frequency voltage-driven vibrations in dielectric elastomer membranes" by G. Moretti et al.

description: This upload contains the numerical datasets used for the numerical plots reported in the paper "High-frequency voltage-driven vibrations in dielectric elastomer membranes" by G. Moretti et al., Mechanical Systems and Signal Processing, Elsevier, 2022 (https://doi.org/10.1016/j.ymssp.2021.108677). Please refer to the readme file for information on the files structures and content.
description: This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 893674 (DEtune)
DOI: 10.3886/e152203v1-128681
title: Data and Code for: Migrants and Firms: Evidence from China

description: This project provides data and code used in the article "Migrants and Firms: Evidence from China"<br> <br>Abstract: How does rural-urban migration shape urban production in developing countries? We use longitudinal data on Chinese manufacturing firms between 2000 and 2006, and exploit exogenous variation in rural-urban migration induced by agricultural income shocks for identification. We find that, when immigration increases, manufacturing production becomes more labor-intensive and productivity declines. We investigate the reorganization of production using patent applications and product information. We show that rural-urban migration induces both labor-oriented technological change and the adoption of labor intensive product varieties.<br><br><br>
description: Above-scale manufacturing firms in China<br>.
DOI: 10.5281/zenodo.7145354
title: Dataset for "Robust magnetic order upon ultrafast excitation of an antiferromagnet"

description: This is the dataset for the publication on 'Advanced Materials Interfaces' with publication DOI: 10.1002/admi.202201340. The dataset contains the raw trARPES experimental data and the normalized magnetic x-ray diffraction amplitude dynamics (published in https://doi.org/10.1038/s42005-020-00407-0) of GdRh2Si2. - 'trARPES_T_20K_static_MX_cube.nxs' contains a cube of trARPES intensity along the MX cut of the surface Brillouin zone presented in Figure 1-b. - 'trARPES_T_20K_fl_(number).nxs' series contain temporal evolution of raw trARPES intensity measured at sample temperature of 20 K with pump fluence of (number) mJ/cm^2. Figure 2 a-d, 3, 4, 5 b-d, B1, C1 used these trARPES intensity evolution. - 'trARPES_T_150K_fl_(number).nxs' series contain temporal evolution of raw trARPES intensity measured at sample temperature of 150 K (above T_N) with pump fluence of (number) mJ/cm^2. Figure A1 used these trARPES intensity evolution. - 'trRXD_T_20K_fl_(number).txt' series contain temporal evolution of AF order parameter of GdRh2Si2 measured at sample temperature of 20 K with pump fluence of (number) mJ/cm^2. Figure 2-e, 4, 5 used these trRXD amplitude evolution.
description: We thank the Helmholtz-Zentrum Berlin f ̈ur Materialien und Energie for the allocation of synchrotronradiation beamtime. The experimental support of the staff at beamlines UE56/1 (HZB), X11MA (SLS), and PM3 (HZB) is gratefully acknowledged. This work received funding from the Deutsche Forschungsgemeinscahft (DFG, German Research Foundation) within the Emmy Noether program (Grant No. RE 3977/1), within the Transregio TRR 227 - 328545488 Ultrafast Spin Dynamics (Projects A03, A08, and A09), within TRR 288 - 422213477 (Project A03), SFB1143 (No. 247310070) and within Grant No. 282 KR3831/5-1. Funding was also received from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (Grant Agreement Number ERC-2015-CoG-682843). We also thank support from the Spanish Ministry of Science and Innovation, project PID2020-116093RB-C44, funded by MCIN/ AEI/10.13039/501100011033.
description: {"references": ["Windsor, Y.W., Ernst, A., Kummer, K. et al. Deterministic control of an antiferromagnetic spin arrangement using ultrafast optical excitation. Commun Phys 3, 139 (2020). https://doi.org/10.1038/s42005-020-00407-0"]}
DOI: 10.5517/ccdc.csd.cc1lg9t5
title: CCDC 1473517: Experimental Crystal Structure Determination

description: Related Article: Adedamola A. Opalade, Imre Labadi, Carlos Gomez-Garcia, Oleksandr Hietsoi, Nikolay Gerasimchuk|2022|Cryst.Growth Des.|22|6168|doi:10.1021/acs.cgd.2c00717
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.cc1lg9w7
title: CCDC 1473519: Experimental Crystal Structure Determination

description: Related Article: Adedamola A. Opalade, Imre Labadi, Carlos Gomez-Garcia, Oleksandr Hietsoi, Nikolay Gerasimchuk|2022|Cryst.Growth Des.|22|6168|doi:10.1021/acs.cgd.2c00717
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.cc228kvs
title: CCDC 1914865: Experimental Crystal Structure Determination

description: Related Article: Peng Lu, Hongliang Wang, Yihui Mao, Xin Hong, Zhan Lu|2022|J.Am.Chem.Soc.|144|17359|doi:10.1021/jacs.2c08525
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.cc2314z9
title: CCDC 1937530: Experimental Crystal Structure Determination

description: Related Article: Shidang Xu, Bin Liu|2022|J.Am.Chem.Soc.|144|17897|doi:10.1021/jacs.2c06838
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.cc26yl2v
title: CCDC 2054217: Experimental Crystal Structure Determination

description: Related Article: Peng Lu, Hongliang Wang, Yihui Mao, Xin Hong, Zhan Lu|2022|J.Am.Chem.Soc.|144|17359|doi:10.1021/jacs.2c08525
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.cc270vdj
title: CCDC 2056397: Experimental Crystal Structure Determination

description: Related Article: Xiaohua Cheng, Sijia Yue, Runan Chen, Jun Yin, Bin-Bin Cui|2022|Inorg.Chem.|61|15475|doi:10.1021/acs.inorgchem.2c02085
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.cc270vfk
title: CCDC 2056398: Experimental Crystal Structure Determination

description: Related Article: Xiaohua Cheng, Sijia Yue, Runan Chen, Jun Yin, Bin-Bin Cui|2022|Inorg.Chem.|61|15475|doi:10.1021/acs.inorgchem.2c02085
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.cc29cmy8
title: CCDC 2126350: Experimental Crystal Structure Determination

description: Related Article: A. Dominic Fortes, Stewart F. Parker|2022|J.Am.Chem.Soc.|144|17376|doi:10.1021/jacs.2c01469
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.cc29cmz9
title: CCDC 2126351: Experimental Crystal Structure Determination

description: Related Article: A. Dominic Fortes, Stewart F. Parker|2022|J.Am.Chem.Soc.|144|17376|doi:10.1021/jacs.2c01469
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.cc29cn0c
title: CCDC 2126352: Experimental Crystal Structure Determination

description: Related Article: A. Dominic Fortes, Stewart F. Parker|2022|J.Am.Chem.Soc.|144|17376|doi:10.1021/jacs.2c01469
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.cc29cn1d
title: CCDC 2126353: Experimental Crystal Structure Determination

description: Related Article: A. Dominic Fortes, Stewart F. Parker|2022|J.Am.Chem.Soc.|144|17376|doi:10.1021/jacs.2c01469
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.cc2b5wv8
title: CCDC 2150620: Experimental Crystal Structure Determination

description: Related Article: Michael K. Bogdos, Olivera Stepanović, Alessandro Bismuto, Mauro G. Luraschi, Bill Morandi|2022|Nat. Synth.|1|787|doi:10.1038/s44160-022-00145-x
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.cc2b5ww9
title: CCDC 2150621: Experimental Crystal Structure Determination

description: Related Article: Michael K. Bogdos, Olivera Stepanović, Alessandro Bismuto, Mauro G. Luraschi, Bill Morandi|2022|Nat. Synth.|1|787|doi:10.1038/s44160-022-00145-x
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.cc2bb3f7
title: CCDC 2154668: Experimental Crystal Structure Determination

description: Related Article: D. M. Ramitha Y. P. Rupasinghe, Makayla R. Baxter, Himanshu Gupta, Andrew T. Poore, Robert F. Higgins, Matthias Zeller, Shiliang Tian, Eric J. Schelter, Suzanne C. Bart|2022|J.Am.Chem.Soc.|144|17423|doi:10.1021/jacs.2c04947
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.cc2bb3g8
title: CCDC 2154669: Experimental Crystal Structure Determination

description: Related Article: D. M. Ramitha Y. P. Rupasinghe, Makayla R. Baxter, Himanshu Gupta, Andrew T. Poore, Robert F. Higgins, Matthias Zeller, Shiliang Tian, Eric J. Schelter, Suzanne C. Bart|2022|J.Am.Chem.Soc.|144|17423|doi:10.1021/jacs.2c04947
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.4662986
title: Datasets for the paper "Hardware-in-the-loop simulation of wave energy converters based on dielectric elastomer generators" by G. Moretti et al.

description: This upload contains the numerical datasets used for the numerical plots reported in the paper "Hardware-in-the-loop simulation of wave energy converters based on dielectric elastomer generators" by G. Moretti et al., Meccanica, Springer, 2021 (http://doi.org/10.1007/s11012-021-01320-8) Two sub-folders are present, which hold the following information<br> - The "fig files" folder contains the .fig files (that can be opened in Matlab) reproducing the plots presented in the paper.<br> - The "data" folder contains the numerical datasets needed to produce such plots (see the readme file within that folder for further information)
description: This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 893674 (DEtune)
DOI: 10.5281/zenodo.4662987
title: Datasets for the paper "Hardware-in-the-loop simulation of wave energy converters based on dielectric elastomer generators" by G. Moretti et al.

description: This upload contains the numerical datasets used for the numerical plots reported in the paper "Hardware-in-the-loop simulation of wave energy converters based on dielectric elastomer generators" by G. Moretti et al., Meccanica, Springer, 2021 (http://doi.org/10.1007/s11012-021-01320-8) Two sub-folders are present, which hold the following information<br> - The "fig files" folder contains the .fig files (that can be opened in Matlab) reproducing the plots presented in the paper.<br> - The "data" folder contains the numerical datasets needed to produce such plots (see the readme file within that folder for further information)
description: This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 893674 (DEtune)
DOI: 10.15151/esrf-es-942447163
title: The valence of rare earth dopants in CeO2

description: Rare Earth (RE) dopants are used in ceria to increase its ionic conductivity. In this experiment we will collect XANES spectra on Nd and Tm dopants as well as on Ce. This to check if a link exists between the REs amount and the valence state of the various cations.