cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7408554
title: 3-D T1 relaxation time measurements in an equine model of subtle post-traumatic osteoarthritis using MB-SWIFT

description: This dataset contains Key analysis and plotting scripts, data, and sample images. 3-D T1 relaxation time measurements in equine model of post-traumatic osteoarthritis using MB-SWIFT Journal of Orthopaedic Research | DOI: 10.1002/jor.25629 Swetha Pala (1), Nina Hänninen (1,2), Ali Mohammadi(1), Mohammadhossein Ebrahimi (1,2), Nikae C.R. te Moller(3), Harold Brommer(3), P. René van Weeren (3), Janne T.A. Mäkelä (1), Rami K. Korhonen (1), Isaac O. Afara(1), Juha Töyräs (1,4,5), Santtu Mikkonen (1), Mikko J. Nissi (1*), Olli Nykänen (1,2) 1Department of Applied Physics, University of Eastern Finland <br> 2Research Unit of Medical Imaging, Physics and Technology, University of Oulu<br> 3Department of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University<br> 4Science Service Center, Kuopio University Hospital, Kuopio, Finland<br> 5School of Information Technology and Electrical Engineering, The University of Queensland <br> *Corresponding author<br> Mikko J. Nissi<br> Department of Technical Physics<br> University of Eastern Finland, Kuopio Finland<br> POB 1627<br> 70211 Kuopio<br> mikko.nissi@uef.fi<br> +358-50-5955517<br> Running title: ‘3D T1 of mild PTOA using MB-SWIFT’ <br> Keywords: Quantitative MRI, T1 relaxation, equine model, post-traumatic osteoarthritis, proteoglycan content. Included folders and files are:<br> - Article_figures: all figures published in the manuscript (.svg format)<br> - Data: Raw MRI data files per flip angle (phase & magnitude images) from 28 samples and corresponding fitted T1 maps within respective folders. SPSS structured data files used for statistical analysis.<br> - Matlab scripts: Matlab functions used for data processing and T1 computation, aedes plugins, and data analysis with subfolders and files:<br> - aedes_plugins: plugins for aedes (http://aedes.uef.fi) and scripts for calculation of surface visualisations from relaxation time maps and auto-segmented mesh. <br> - Data processing and T1 computation: Scripts for non-linear 3D T1 fitting. <br> - Analysis: Key scripts used for analysis and plotting. - README.txt: this file describing the contents of the dataset. <br> See more info in separate readme files included in sub-folders. <br> (Swetha Pala, 31 May 2023)
description: Other Grants: Finnish Cultural Foundation (#00180787), North-Savonia Regional Fund (#65211960), NWO Graduate Programme Grant (022.005.018), and support from the Dutch Arthritis Association grant LLP‐ 22.
DOI: 10.5281/zenodo.7408553
title: 3-D T1 relaxation time measurements in an equine model of subtle post-traumatic osteoarthritis using MB-SWIFT

description: This dataset contains Key analysis and plotting scripts, data, and sample images. 3-D T1 relaxation time measurements in equine model of post-traumatic osteoarthritis using MB-SWIFT Journal of Orthopaedic Research | DOI: 10.1002/jor.25629 Swetha Pala (1), Nina Hänninen (1,2), Ali Mohammadi(1), Mohammadhossein Ebrahimi (1,2), Nikae C.R. te Moller(3), Harold Brommer(3), P. René van Weeren (3), Janne T.A. Mäkelä (1), Rami K. Korhonen (1), Isaac O. Afara(1), Juha Töyräs (1,4,5), Santtu Mikkonen (1), Mikko J. Nissi (1*), Olli Nykänen (1,2) 1Department of Applied Physics, University of Eastern Finland <br> 2Research Unit of Medical Imaging, Physics and Technology, University of Oulu<br> 3Department of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University<br> 4Science Service Center, Kuopio University Hospital, Kuopio, Finland<br> 5School of Information Technology and Electrical Engineering, The University of Queensland <br> *Corresponding author<br> Mikko J. Nissi<br> Department of Technical Physics<br> University of Eastern Finland, Kuopio Finland<br> POB 1627<br> 70211 Kuopio<br> mikko.nissi@uef.fi<br> +358-50-5955517<br> Running title: ‘3D T1 of mild PTOA using MB-SWIFT’ <br> Keywords: Quantitative MRI, T1 relaxation, equine model, post-traumatic osteoarthritis, proteoglycan content. Included folders and files are:<br> - Article_figures: all figures published in the manuscript (.svg format)<br> - Data: Raw MRI data files per flip angle (phase & magnitude images) from 28 samples and corresponding fitted T1 maps within respective folders. SPSS structured data files used for statistical analysis.<br> - Matlab scripts: Matlab functions used for data processing and T1 computation, aedes plugins, and data analysis with subfolders and files:<br> - aedes_plugins: plugins for aedes (http://aedes.uef.fi) and scripts for calculation of surface visualisations from relaxation time maps and auto-segmented mesh. <br> - Data processing and T1 computation: Scripts for non-linear 3D T1 fitting. <br> - Analysis: Key scripts used for analysis and plotting. - README.txt: this file describing the contents of the dataset. <br> See more info in separate readme files included in sub-folders. <br> (Swetha Pala, 31 May 2023)
description: Other Grants: Finnish Cultural Foundation (#00180787), North-Savonia Regional Fund (#65211960), NWO Graduate Programme Grant (022.005.018), and support from the Dutch Arthritis Association grant LLP‐ 22.
DOI: 10.5517/ccdc.csd.cc2c5b2z
title: CCDC 2179860: Experimental Crystal Structure Determination

description: Related Article: Yurii S. Bibik, Sergiu Shova, Aurelian Rotaru, Sergii I. Shylin, Igor O. Fritsky, Rostyslav D. Lampeka, Il’ya A. Gural’skiy|2022|Inorg.Chem.|61|14761|doi:10.1021/acs.inorgchem.2c02177
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.cc2c5b30
title: CCDC 2179861: Experimental Crystal Structure Determination

description: Related Article: Yurii S. Bibik, Sergiu Shova, Aurelian Rotaru, Sergii I. Shylin, Igor O. Fritsky, Rostyslav D. Lampeka, Il’ya A. Gural’skiy|2022|Inorg.Chem.|61|14761|doi:10.1021/acs.inorgchem.2c02177
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.cc2d6tgx
title: CCDC 2211089: Experimental Crystal Structure Determination

description: Related Article: K. Znovjyak, I.O. Fritsky, T.Y. Sliva, V.M. Amirkhanov, S.O. Malinkin, S. Shova, M. Seredyuk|2022|Acta Crystallogr.,Sect.E:Cryst.Commun.|78|1107|doi:10.1107/S2056989022009744
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.7990195
title: Dataset of stereo and multi-channel IRs for a 50-point Lebedev quadrature.

description: We present a free dataset of Impulse Response measurements for all positions on a 50-point Lebedev arranged loudspeaker array for a variety of stereo microphone configurations, 32 Eigenmic capsules, and up to 4th Order Ambisonics. This dataset has particular relevance for those interested in training novel stereo to ambisonic upmix algorithms.
DOI: 10.5281/zenodo.7990194
title: Dataset of stereo and multi-channel IRs for a 50-point Lebedev quadrature.

description: We present a free dataset of Impulse Response measurements for all positions on a 50-point Lebedev arranged loudspeaker array for a variety of stereo microphone configurations, 32 Eigenmic capsules, and up to 4th Order Ambisonics. This dataset has particular relevance for those interested in training novel stereo to ambisonic upmix algorithms.
DOI: 10.5281/zenodo.7462692
title: AluTrace Design Optimization Data

description: The AluTrace project was funded by the german Ministry of Economics, Labor and Tourism Baden-Württemberg (Ministerium für Wirtschaft, Arbeit und Tourismus Baden-Württemberg) from January 21st 2020 through December 31st 2021 under the case number 34-4224.044/21. The aim of AluTrace was to digitally link data and knowledge silos that arise over industrial product development and manufacturing cycles. This linked data was used in order to answer a particular use case, allowing a design engineer to optimize a component with regard to lightweight design for additive manufacturing. The project consortium, consisting of the Fraunhofer Institute for High-Speed Dynamics, Ernst-Mach-Institut, EMI, Fraunhofer Institute for Mechanics of Materials IWM and fem Research Institute for Precious Metals and Metal Chemistry used legacy data and supplemented it specifically to generate semantic data, which is provided decentrally via the very first implementation of the Materials Data Space. The semantic data created in AluTrace and provided via the Materials Data Space is additionaly provided as research data in this GitHub repository: https://github.com/Mat-O-Lab/AluTrace-Data-and-Documentation. Every release is automatically published via Zenodo using the DOI: 10.5281/zenodo.7417560. <strong>The design algorithm developed in AluTrace to optimize lightweight design makes use of the semantic data provided via the Materials Data Space. This is the design optimization data as input and output for the design algorithm and published supplementary to the semantic data.</strong>
description: {"references": ["Martin Huschka, Michael Dlugosch, Valerie Friedmann, Elena Garcia Trelles, Klaus Hoschke, Ulrich Klotz, Sankalp Patil, Johannes Preu\u00dfner, Christoph Schweizer, Dario Tiberto, \"The \"AluTrace\" Use Case: Harnessing Lightweight Design Potentials via the Materials Data Space,\" Vienna, Austria, Jun. 2022. Accessed: Sep. 28, 2022. [Online]. Available: https://www.trusts-data.eu/wp-content/uploads/2022/06/01-The-AluTrace-Use-Case-Harnessing-Lightweight-Design-Potentials-via-the-Materials-Data-Space.pdf", "Martin Huschka, Klaus Hoschke, Michael Dlugosch, Valerie Friedmann, Elena Garcia Trelles, Ulrich Klotz, Sankalp Patil, Johannes Preu\u00dfner, Christoph Schweizer, Dario Tiberto, \"Leichtbau: Datenvernetzung f\u00fcr additive Fertigung,\" Rep. 06/2022, 2022. Accessed: Sep. 26, 2022. [Online]. Available: https://www.ingenieur.de/fachmedien/wt-werkstattstechnik/fraunhofer-gesellschaft/leichtbau-datenvernetzung-fuer-additive-fertigung/"]}
DOI: 10.5281/zenodo.7467047
title: AluTrace Data and Documentation: v0.0.5

description: The AluTrace project was funded by the german Ministry of Economics, Labor and Tourism Baden-Württemberg (Ministerium für Wirtschaft, Arbeit und Tourismus Baden-Württemberg) from January 21st 2020 through December 31st 2021 under the case number 34-4224.044/21. The aim of AluTrace was to digitally link data and knowledge silos that arise over industrial product development and manufacturing cycles. This linked data was used in order to answer a particular use case, allowing a design engineer to optimize a component with regard to lightweight design for additive manufacturing. The project consortium, consisting of the Fraunhofer Institute for High-Speed Dynamics, Ernst-Mach-Institut, EMI, Fraunhofer Institute for Mechanics of Materials IWM and fem Research Institute for Precious Metals and Metal Chemistry used legacy data and supplemented it specifically to generate semantic data, which is provided decentrally via the very first implementation of the Materials Data Space. The semantic data created in AluTrace and provided via the Materials Data Space is additionaly provided as research data in this GitHub repository: https://github.com/Mat-O-Lab/AluTrace-Data-and-Documentation. Every release is automatically published via Zenodo using the DOI: 10.5281/zenodo.7417560. The design algorithm developed in AluTrace to optimize lightweight design makes use of the semantic data provided via the Materials Data Space. The design optimization data as input and output for the design algorithm is published separately using the DOI: 10.5281/zenodo.7462692.
description: {"references": ["Martin Huschka, Michael Dlugosch, Valerie Friedmann, Elena Garcia Trelles, Klaus Hoschke, Ulrich Klotz, Sankalp Patil, Johannes Preu\u00dfner, Christoph Schweizer, Dario Tiberto, \"The \"AluTrace\" Use Case: Harnessing Lightweight Design Potentials via the Materials Data Space,\" Vienna, Austria, Jun. 2022. Accessed: Sep. 28, 2022. [Online]. Available: https://www.trusts-data.eu/wp-content/uploads/2022/06/01-The-AluTrace-Use-Case-Harnessing-Lightweight-Design-Potentials-via-the-Materials-Data-Space.pdf", "Martin Huschka, Klaus Hoschke, Michael Dlugosch, Valerie Friedmann, Elena Garcia Trelles, Ulrich Klotz, Sankalp Patil, Johannes Preu\u00dfner, Christoph Schweizer, Dario Tiberto, \"Leichtbau: Datenvernetzung f\u00fcr additive Fertigung,\" Rep. 06/2022, 2022. Accessed: Sep. 26, 2022. [Online]. Available: https://www.ingenieur.de/fachmedien/wt-werkstattstechnik/fraunhofer-gesellschaft/leichtbau-datenvernetzung-fuer-additive-fertigung/"]}
DOI: 10.5281/zenodo.7990239
title: Discrete surface turbidity samples and underway sea surface temperature and sea surface salinity measured in Aarhus Bay during a demonstration of an experimental autonomous surface vehicle

description: This dataset includes measurements obtained by an autonomous boat that was equipped with a surface water sampling system: the Naval Operating Research Drone Assessing Climate Change (NORDACC). This dataset includes two .csv files <br> 2022-10-14_NORDACC_Turbidity.csv<br> This file contains the results of 8 discrete surface water samples that were analyzed for turbidity using a Hach turbidimeter. Surface water samples were acquired by NORDACC on the afternoon of 14 October 2022 in Aarhus Bay. The columns are separated by commas and correspond to: <br> Sample Number, Date (yyyy-mm-dd), UTC time (HH:MM:SS), Longitude (decimal degrees), Latitude (decimal degrees), Sea Surface Temperature (SST; degC), Sea Surface Salinity (SSS) <br> 2022-10-14_NORDACC_UnderwayData.csv<br> This file contains 1 Hz data, delimited by commas, that were collected while NORDACC was in operation. The underway data columns correspond to:<br> Date & Time (ISO format yyyy-mm-ddTHH:MM:SS), Operation State (1=initializing, 2=sailing, 3=water sample), Longitude (decimal degrees), Latitude (Latitude), Sea Surface Temperature (SST; degC), Sea Surface Salinity (SSS) <br> About NORDACC: The Naval Operating Research Drone Assessing Climate Change (NORDACC) was designed by Serbian Akbulut, Jeppe Fogh Rasmussen, Christian Søndergård Hestbech, and Marius Hjorth Andersen, a group of mechatronics students at Aarhus University. The project was supervised by Prof. Claus Melvad (AU) and received external guidance by Dr. Daniel Carlson (Helmholtz-Zentrum Hereon). The NORDACC project was partially supported by Helmholtz-Zentrum Hereon and the Klaus-Tschira Boost Fund that was administered by the German Scholars Organization. NORDACC designs, software, and BOM are open source and provided via Mendeley Data, doi:10.17632/rpzv35pccr.1 For more information about NORDACC see the accompanying paper in HardwareX.
DOI: 10.5517/ccdc.csd.cc27s248
title: CCDC 2078709: Experimental Crystal Structure Determination

description: Related Article: A. Tojiboev, B. Elmuradov, N. Kattaev, A. Abdurazakov, A. Nasrullayev, B. Tashkhodjaev|2022|Acta Crystallogr.,Sect.E:Cryst.Commun.|78|885|doi:10.1107/S2056989022007800
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.cc2cndzf
title: CCDC 2194365: Experimental Crystal Structure Determination

description: Related Article: A. Tojiboev, B. Elmuradov, N. Kattaev, A. Abdurazakov, A. Nasrullayev, B. Tashkhodjaev|2022|Acta Crystallogr.,Sect.E:Cryst.Commun.|78|885|doi:10.1107/S2056989022007800
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.cc2ddmt8
title: CCDC 2216680: Experimental Crystal Structure Determination

description: Related Article: K. Znovjyak, M. Seredyuk, I.O. Fritsky, T.Y. Sliva, V.M. Amirkhanov, S.O. Malinkin, S. Shova|2022|Acta Crystallogr.,Sect.E:Cryst.Commun.|78|1173|doi:10.1107/S2056989022010507
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.cc2djlyh
title: CCDC 2220497: Experimental Crystal Structure Determination

description: Related Article: R.Y. Okmanov, K.B. Abdireymov, D.R. Matchanova, M.I. Olimova, K.K. Turgunov|2022|Acta Crystallogr.,Sect.E:Cryst.Commun.|78|1271|doi:10.1107/S2056989022011070
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.cc2djlzj
title: CCDC 2220498: Experimental Crystal Structure Determination

description: Related Article: R.Y. Okmanov, K.B. Abdireymov, D.R. Matchanova, M.I. Olimova, K.K. Turgunov|2022|Acta Crystallogr.,Sect.E:Cryst.Commun.|78|1271|doi:10.1107/S2056989022011070
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.cc2djm0l
title: CCDC 2220499: Experimental Crystal Structure Determination

description: Related Article: R.Y. Okmanov, K.B. Abdireymov, D.R. Matchanova, M.I. Olimova, K.K. Turgunov|2022|Acta Crystallogr.,Sect.E:Cryst.Commun.|78|1271|doi:10.1107/S2056989022011070
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.cc2dkb2d
title: CCDC 2221183: Experimental Crystal Structure Determination

description: Related Article: S. Razzoqova, B. Torambetov, M. Amanova, S. Kadirova, A. Ibragimov, J. Ashurov|2022|Acta Crystallogr.,Sect.E:Cryst.Commun.|78|1277|doi:10.1107/S2056989022011185
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.7568019
title: High-resolution gene expression atlases of two contrasting major Greek olive (Olea europaea L.) tree cultivars for oil and table olives production

description: This dataset contains the supplementary data of the "<strong>High-resolution gene expression atlases of two </strong><strong>contrasting </strong><strong>major Greek olive (<em>Olea europaea </em>L.) tree cultivars </strong><strong>for oil and table olives production" </strong>research article submitted to the "Horticultural Research" journal.
DOI: 10.5281/zenodo.7760111
title: High-resolution gene expression atlases of two contrasting major Greek olive (Olea europaea L.) tree cultivars for oil and table olives production

description: This dataset contains the supplementary data of the "<strong>High-resolution gene expression atlases of two contrasting major Greek olive (<em>Olea europaea </em>L.) tree cultivars for oil and table olives production</strong><strong>" </strong>research article submitted to the "<strong>Frontiers in Plant Science-Plant Bioinformatics</strong>" journal.
DOI: 10.6084/m9.figshare.23267555
title: Raw data of the pairwise comparisons between VAG sequences of the 370 Escherichia genomes.

description: Pairwise comparisons of VAG sequences according to their predicted location. We ran an all-against-all blastN analysis among the 370 genomes of <em>Escherichia</em>. These data were used to draw the figure S5.
DOI: 10.6084/m9.figshare.23267555.v1
title: Raw data of the pairwise comparisons between VAG sequences of the 370 Escherichia genomes.

description: Pairwise comparisons of VAG sequences according to their predicted location. We ran an all-against-all blastN analysis among the 370 genomes of <em>Escherichia</em>. These data were used to draw the figure S5.