cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7257895
title: System identification on a nonlinear cantilever beam

description: The zip file includes the algorithm and data used for system identification of a nonlinear cantilever beam system. The Abaqus .inp file is also included. The data and the algorithm is written in MATLAB and there are two sets of data one is the full FE model data and the other is a simulated experimental data. The mode shape matrix 'Phi' and squared natural frequencies 'Om2' matrix are derived from a prior linear modal analysis and included as '.mat' files.
DOI: 10.5281/zenodo.7789644
title: System identification on a nonlinear cantilever-type beam

description: The zip file includes the algorithm and data used for system identification of a nonlinear cantilever-type beam system. The Abaqus .inp file is also included. The data and the algorithm is written in MATLAB and there are two sets of data one is the full FE model data and the other is a simulated experimental (SE) data. The mode shape matrix 'Phi' and squared natural frequencies 'Om2' matrix are derived from a prior linear modal analysis and included as '.mat' files.
DOI: 10.5281/zenodo.7257894
title: System identification on a nonlinear cantilever-type beam

description: The zip file includes the algorithm and data used for system identification of a nonlinear cantilever-type beam system. The Abaqus .inp file is also included. The data and the algorithm is written in MATLAB and there are two sets of data one is the full FE model data and the other is a simulated experimental (SE) data. The mode shape matrix 'Phi' and squared natural frequencies 'Om2' matrix are derived from a prior linear modal analysis and included as '.mat' files.
DOI: 10.5281/zenodo.8114175
title: System identification on a nonlinear cantilever-type beam

description: The zip file includes the algorithm and data used for system identification of a nonlinear cantilever-type beam system. The Abaqus .inp file is also included. The data and the algorithm is written in MATLAB and there are two sets of data one is the full FE model data and the other is a simulated experimental (SE) data. The mode shape matrix 'Phi' and squared natural frequencies 'Om2' matrix are derived from a prior linear modal analysis and included as '.mat' files.
DOI: 10.5285/8ec2d4b94f8e4756ad31858ff8256464
title: Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 2.15 (v20211022)

description: Input data for Figure 2.15 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6). Figure 2.15 provides global precipitation trend maps and time series for a variety of data sources --------------------------------------------------- How to cite this dataset --------------------------------------------------- When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates: Gulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004. --------------------------------------------------- Figure subpanels --------------------------------------------------- The figure has six panels, with input data provided for panel (a) (cru_masked_2019_2), panels (b) and (e) (gpcc_v2020_msk2.nc), panel (d) (cru_masked_2019_2.nc), and panel (f) (gpcp2019.nc) --------------------------------------------------- List of data provided --------------------------------------------------- This dataset contains observed global precipitation data from a variety of sources covering the period 1891-2019 --------------------------------------------------- Data provided in relation to figure --------------------------------------------------- This dataset is the input data used in the code that generates panels (a), (b), (d), (e) and (f) for figure 2.15. --------------------------------------------------- Sources of additional information --------------------------------------------------- The following weblinks are provided in the Related Documents section of this catalogue record: - Link to the report component containing the figure (Chapter 2) - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1 - Link to the figure on the IPCC AR6 website
DOI: 10.6084/m9.figshare.23579862.v1
title: DECEiVeR

description: The DECEiVeR dataset (DatasetEt aCting Emotions Valence aRousal) is a meticulously curated collection of physiological recordings from 11 professional theatre actors. The DECEiVeR dataset facilitates the recognition of a specific set of five emotions: neutral, calm, tiredness, tension, and excitement. The dataset encompasses raw, low- and mid-level temporal and spectral data, enabling a comprehensive analysis of acting emotions. A preliminary analysis has already been conducted on modeling the recognition of acting emotions, utilizing the rich biosignal data available in the DECEiVeR dataset. The focus of this analysis was to explore the reliability of physiological data over time, shedding light on the consistency and temporal persistence of the recorded measurements. By delving into the DECEiVeR dataset, researchers can gain valuable insights into recognizing acting emotions and delve deeper into affective computing. It provides a unique opportunity to assess how biosignals capture emotions elicited from internal stimuli, enriching our knowledge of the emotional expression and paving the way for further advancements in the field. With its comprehensive and curated nature, the DECEiVeR dataset is a valuable resource for researchers exploring emotion recognition and its intersection with affective computing.
DOI: 10.6084/m9.figshare.21823455.v59
title: The ReptileEvolution.com Project

description: Taxon exclusion is the number one problem currently vexing paleontology. The search for pterosaur, turtle, bat, snake, whale, reptile and tetrapod ancestors continues to unnecessarily befuddle paleontologists who continue to work from cherry-picked, textbook and traditional taxon lists that overlook and omit pertinent taxa. That’s why the large reptile tree (LRT), the nearly completely resolved cladogram at the heart of www.ReptileEvolution.com, includes 2212 taxa. Larger taxon numbers minimize taxon exclusion issues. Results indicate the simple act of adding taxa resolves all phylogenetic issues.
DOI: 10.6084/m9.figshare.23623422
title: Association between obesity and urinary incontinence in older adults from multiple nationwide longitudinal cohorts: supplementary data 3, supplementary data 4, and supplementary data 5.

description: This dataset is only used for the supplementary datasets reference of publication of "Association between obesity and urinary incontinence in older adults from multiple nationwide longitudinal cohorts" in <em>Nature Communications Medicine</em>.
DOI: 10.6084/m9.figshare.23623422.v1
title: Association between obesity and urinary incontinence in older adults from multiple nationwide longitudinal cohorts: supplementary data 3, supplementary data 4, and supplementary data 5.

description: This dataset is only used for the supplementary datasets reference of publication of "Association between obesity and urinary incontinence in older adults from multiple nationwide longitudinal cohorts" in <em>Nature Communications Medicine</em>.
DOI: 10.6084/m9.figshare.20752642.v1
title: Supplementary_Material_HADEG

description: Contains the Supplementary Tables of the article of HADEG database
DOI: 10.6084/m9.figshare.23623935
title: Birds of a feather flock together—A compilation of data for two candidate genes for migration genetics

description: Birds with seasonal shifts in ecological attributes of their habitat have evolved complex strategies to maximize energy efficiency and survival through seasonal migrations. Their annual life cycle is heavily reliant on timing and duration of migration, which are regulated by photoperiod. Studies have explored genetic components that affect intrinsic time keeping mechanisms, including genes of the circadian clock, have yielded conflicting evidence for an association. A systematic review was conducted to clarify the role of these genes in migratory phenotypes. The review included 66 studies, 34 of which were candidate gene studies and 32 migration-related studies. During the review process, data was collected on clock gene alleles and frequencies to enable a cross-taxa analysis. This dataset included data from 52 species, with 46 species for the <em>Clock</em> gene and 43 species for the <em>Adcyap1</em> gene. With data for more than 8000 birds, this dataset represents the largest collection of cross-species data for candidate genes, generated to test a putative association between clock gene polymorphisms and divergent migration in seasonal birds.
DOI: 10.6084/m9.figshare.23623935.v1
title: Birds of a feather flock together—A compilation of data for two candidate genes for migration genetics

description: Birds with seasonal shifts in ecological attributes of their habitat have evolved complex strategies to maximize energy efficiency and survival through seasonal migrations. Their annual life cycle is heavily reliant on timing and duration of migration, which are regulated by photoperiod. Studies have explored genetic components that affect intrinsic time keeping mechanisms, including genes of the circadian clock, have yielded conflicting evidence for an association. A systematic review was conducted to clarify the role of these genes in migratory phenotypes. The review included 66 studies, 34 of which were candidate gene studies and 32 migration-related studies. During the review process, data was collected on clock gene alleles and frequencies to enable a cross-taxa analysis. This dataset included data from 52 species, with 46 species for the <em>Clock</em> gene and 43 species for the <em>Adcyap1</em> gene. With data for more than 8000 birds, this dataset represents the largest collection of cross-species data for candidate genes, generated to test a putative association between clock gene polymorphisms and divergent migration in seasonal birds.
DOI: 10.5517/ccdc.csd.cc2fn026
title: CCDC 2253547: Experimental Crystal Structure Determination

description: Related Article: Cai-Long Xue, Xiao-Yan Xin, Yu Chang, Yang-Jun Gao, Jia-Yue Huang, Hong-Xue Qi, Ya-Jie Liu, Yong-Qiang Chen, Wen-Min Wang|2023|J.Mol.Struct.|1291|136058|doi:10.1016/j.molstruc.2023.136058
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.cc2fn037
title: CCDC 2253548: Experimental Crystal Structure Determination

description: Related Article: Cai-Long Xue, Xiao-Yan Xin, Yu Chang, Yang-Jun Gao, Jia-Yue Huang, Hong-Xue Qi, Ya-Jie Liu, Yong-Qiang Chen, Wen-Min Wang|2023|J.Mol.Struct.|1291|136058|doi:10.1016/j.molstruc.2023.136058
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.cc2fn048
title: CCDC 2253549: Experimental Crystal Structure Determination

description: Related Article: Cai-Long Xue, Xiao-Yan Xin, Yu Chang, Yang-Jun Gao, Jia-Yue Huang, Hong-Xue Qi, Ya-Jie Liu, Yong-Qiang Chen, Wen-Min Wang|2023|J.Mol.Struct.|1291|136058|doi:10.1016/j.molstruc.2023.136058
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.cc2fnbm2
title: CCDC 2253874: Experimental Crystal Structure Determination

description: Related Article: Bruno Schönecker, Manuela Dubbs, Görls, Helmar|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fnbn3
title: CCDC 2253875: Experimental Crystal Structure Determination

description: Related Article: Bruno Schönecker, C. Lange, Görls, Helmar|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fnbp4
title: CCDC 2253876: Experimental Crystal Structure Determination

description: Related Article: Bruno Schönecker, M. Rost, Görls, Helmar|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fnbq5
title: CCDC 2253877: Experimental Crystal Structure Determination

description: Related Article: Bruno Schönecker, Manuela Dubbs, Görls, Helmar|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fnbs7
title: CCDC 2253879: Experimental Crystal Structure Determination

description: Related Article: Bruno Schönecker, C. Lange, Görls, Helmar|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fnbt8
title: CCDC 2253880: Experimental Crystal Structure Determination

description: Related Article: Bruno Schönecker, H. Magyar, Görls, Helmar|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dhffs
title: CCDC 2219365: Experimental Crystal Structure Determination

description: Related Article: Claire M. Dopp, Riddhi R. Golwankar, Shaun R. Kelsey, Justin T. Douglas, Alexander N. Erickson, Allen G. Oliver, Cynthia S. Day, Victor W. Day, James D. Blakemore|2023|Inorg.Chem.|62|9827|doi:10.1021/acs.inorgchem.3c00724
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.cc2fnbwb
title: CCDC 2253882: Experimental Crystal Structure Determination

description: Related Article: Bruno Schönecker, C. Lange, Görls, Helmar|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2g44tl
title: CCDC 2268109: Experimental Crystal Structure Determination

description: Related Article: J. Rivera-Segura, V. Barba, I.F. Hernandez-Ahuactzi, H. Tlahuext|2023|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|79|269|doi:10.1107/S2053229623005065
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.cc2g44vm
title: CCDC 2268110: Experimental Crystal Structure Determination

description: Related Article: J. Rivera-Segura, V. Barba, I.F. Hernandez-Ahuactzi, H. Tlahuext|2023|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|79|269|doi:10.1107/S2053229623005065
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.cc2g5crs
title: CCDC 2269285: Experimental Crystal Structure Determination

description: Related Article: M.A. Abu-Zaied, A.M.S. Hebishy, G.H. Elgemeie, H.T. Salama, P.G. Jones|2023|Acta Crystallogr.,Sect.E:Cryst.Commun.|79|652|doi:10.1107/S2056989023005248
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.8037413
title: After the sun: A nanoscale comparison of the surface chemical composition of UV and soil weathered plastics data

description: The present folder contains the raw data as well as the R script used in the following publication : <em>After the sun: A nanoscale comparison of the surface chemical composition of UV and soil weathered plastics. </em>To extract the data: Download the .zip file and extract all the files it contains in a folder, without changing the hierarchy Open the Rproject by double-clicking on it Run the script and explore the outputs in the <em>Script_01_output </em>folder The data extracted from the HDF5 files before any processing are saved as .csv files in the <em>CSV </em>folder.
DOI: 10.5281/zenodo.8037412
title: After the sun: A nanoscale comparison of the surface chemical composition of UV and soil weathered plastics data

description: The present folder contains the raw data as well as the R script used in the following publication : <em>After the sun: A nanoscale comparison of the surface chemical composition of UV and soil weathered plastics. </em>To extract the data: Download the .zip file and extract all the files it contains in a folder, without changing the hierarchy Open the Rproject by double-clicking on it Run the script and explore the outputs in the <em>Script_01_output </em>folder The data extracted from the HDF5 files before any processing are saved as .csv files in the <em>CSV </em>folder.
DOI: 10.5285/528c3543bc394134916aa792c4a2e700
title: Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - Input data for Figure 2.25 (v20220119)

description: Input data for Figure 2.25 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6). Figure 2.25 shows changes in permafrost temperature for 4 Arctic regions over the period 1974-2019 shown as average departures from the International Polar Year (2007-2009) baseline. --------------------------------------------------- How to cite this dataset --------------------------------------------------- When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates: Gulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004. --------------------------------------------------- List of data provided --------------------------------------------------- Annual mean permafrost temperatures(deg C) for sites in 4 regions at depths indicated based on Romanovsky et al. (2020) in State of the Climate in 2019 BAMS 101(8) p S265-S269 https://doi.org/10.1175/BAMS-D-20-0086.1 Regions based on those in Romanovsky et al. (2017) Ch 4 in Snow, Water, Ice and Permafrost in the Arctic (SWIPA) 2017 --------------------------------------------------- Data provided in relation to figure --------------------------------------------------- Time series for each site that was used to determine the regional anomalies shown in the figure --------------------------------------------------- Sources of additional information --------------------------------------------------- The following weblinks are provided in the Related Documents section of this catalogue record: - Link to the figure on the IPCC AR6 website - Link to the report component containing the figure (Chapter 2) - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1