cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4166779
title: Data accompanying the book review "A new general dictionary of Ume Saami"

description: This is a set of tables illustrating the differences between two dictionaries of Ume Saami (Schlachter 1958 and Barruk 2018). Headwords with the initial <em>v</em> from both dictionaries have been aligned to show the common and differing shares of vocabulary. A further analysis is published in the book review (Kuokkala 2020) in Finnisch-Ugrische Forschungen (doi.org/10.33339/fuf.99934). The data from Schlachter 1958 has been converted into the modern orthography with a script found at doi.org/10.5281/zenodo.4162535 and published in its entirety at doi.org/10.5281/zenodo.4163676.
description: {"references": ["Barruk, Henrik 2018: B\u00e1hkuogirjjie. Ubmejes\u00e1mien\u2013d\u00e1ruon, D\u00e1ruon\u2013ubmejes\u00e1mien = Ordbok. Umesamisk\u2013svensk, Svensk\u2013umesamisk. Ume\u00e5.", "Schlachter, Wolfgang 1958: W\u00f6rterbuch des Waldlappendialekts von Mal\u00e5 und Texte zur Ethnographie. Lexica Societatis Fenno-Ugricae XIV. Helsinki: Suomalais-Ugrilainen Seura.", "Kuokkala, Juha 2020: \"A New General Dictionary of Ume Saami\". Finnisch-Ugrische Forschungen 2020 (65), 195\u2013201. https://doi.org/10.33339/fuf.99934."]}
DOI: 10.5281/zenodo.4065523
title: Database of Annotated Core Arguments: English, Lao and Russian

description: This database contains corpus examples of transitive clauses with annotated core arguments realized as syntactic subjects and objects (A and P) in English, Lao and Russian. The coding scheme was developed together with Alena Witzlack-Makarevich
description: Datasets with similar structure have been created by Alena Witzlack-Makarevich for languages N||ng and Ruuli.
description: {"references": ["Levshina, Natalia. In press. Efficiency in differential case marking: A reverse-engineering approach. Linguistics Vanguard."]}
DOI: 10.5281/zenodo.4065522
title: Database of Annotated Core Arguments: English, Lao and Russian

description: This database contains corpus examples of transitive clauses with annotated core arguments realized as syntactic subjects and objects (A and P) in English, Lao and Russian. The coding scheme was developed together with Alena Witzlack-Makarevich
description: Datasets with similar structure have been created by Alena Witzlack-Makarevich for languages N||ng and Ruuli.
description: {"references": ["Levshina, Natalia. In press. Efficiency in differential case marking: A reverse-engineering approach. Linguistics Vanguard."]}
DOI: 10.5281/zenodo.4024154
title: CMU-MisCov19: A Novel Twitter Dataset for Characterizing COVID-19 Misinformation

description: From conspiracy theories to fake cures and fake treatments, COVID-19 has become a hot-bed for the spread of misinformation online. It is more important than ever to identify methods to debunk and correct false information online. Detection and characterization of misinformation requires an availability of annotated datasets. Most of the published COVID-19 Twitter datasets are generic, lack annotations or labels, employ automated annotations using transfer learning or semi-supervised methods, or are not specifically designed for misinformation. Annotated datasets are either only focused on "fake news", are small in size, or have less diversity in terms of classes. Here, we present a novel Twitter misinformation dataset called <strong>"CMU-MisCov19"</strong> with 4573 annotated tweets over 17 themes around the COVID-19 discourse. We also present our annotation codebook for the different COVID-19 themes on Twitter, along with their descriptions and examples, for the community to use for collecting further annotations. Further details related to the dataset, and our analysis based on this dataset can be found at https://arxiv.org/abs/2008.00791. In adherence to the Twitter’s terms and conditions, we do not provide the full tweet JSONs but provide a ".csv" file with the tweet IDs so that the tweets can be rehydrated. We also provide the annotations, and the date of creation for each tweet for the reproduction of the results of our analyses. <strong>Note: If for any reason, you are not able to rehydrate all the tweets, reach out to Shahan Ali Memon at (shahan@nyu.edu).</strong> If you use this data, please cite our paper as follows: <em>"Shahan Ali Memon and Kathleen M. Carley. Characterizing COVID-19 Misinformation Communities Using a Novel Twitter Dataset, In Proceedings of The 5th International Workshop on Mining Actionable Insights from Social Networks (MAISoN 2020), co-located with CIKM, virtual event due to COVID-19, 2020."</em>
description: If you use this dataset, please cite our recently accepted paper on "Characterizing COVID-19 Misinformation Communities Using a Novel Twitter Dataset" at MAISON Workshop at CIKM 2020 as follows: "Shahan Ali Memon and Kathleen M. Carley. Characterizing COVID-19 Misinformation Communities Using a Novel Twitter Dataset, In Proceedings of The 5th International Workshop on Mining Actionable Insights from Social Networks (MAISoN 2020), co-located with CIKM, virtual event due to COVID-19, 2020." The preprint version of the paper can found at https://arxiv.org/abs/2008.00791.
DOI: 10.5281/zenodo.4024153
title: CMU-MisCov19: A Novel Twitter Dataset for Characterizing COVID-19 Misinformation

description: From conspiracy theories to fake cures and fake treatments, COVID-19 has become a hot-bed for the spread of misinformation online. It is more important than ever to identify methods to debunk and correct false information online. Detection and characterization of misinformation requires an availability of annotated datasets. Most of the published COVID-19 Twitter datasets are generic, lack annotations or labels, employ automated annotations using transfer learning or semi-supervised methods, or are not specifically designed for misinformation. Annotated datasets are either only focused on "fake news", are small in size, or have less diversity in terms of classes. Here, we present a novel Twitter misinformation dataset called <strong>"CMU-MisCov19"</strong> with 4573 annotated tweets over 17 themes around the COVID-19 discourse. We also present our annotation codebook for the different COVID-19 themes on Twitter, along with their descriptions and examples, for the community to use for collecting further annotations. Further details related to the dataset, and our analysis based on this dataset can be found at https://arxiv.org/abs/2008.00791. In adherence to the Twitter’s terms and conditions, we do not provide the full tweet JSONs but provide a ".csv" file with the tweet IDs so that the tweets can be rehydrated. We also provide the annotations, and the date of creation for each tweet for the reproduction of the results of our analyses. <strong>Note: If for any reason, you are not able to rehydrate all the tweets, reach out to Shahan Ali Memon at (shahan@nyu.edu).</strong> If you use this data, please cite our paper as follows: <em>"Shahan Ali Memon and Kathleen M. Carley. Characterizing COVID-19 Misinformation Communities Using a Novel Twitter Dataset, In Proceedings of The 5th International Workshop on Mining Actionable Insights from Social Networks (MAISoN 2020), co-located with CIKM, virtual event due to COVID-19, 2020."</em>
description: If you use this dataset, please cite our recently accepted paper on "Characterizing COVID-19 Misinformation Communities Using a Novel Twitter Dataset" at MAISON Workshop at CIKM 2020 as follows: "Shahan Ali Memon and Kathleen M. Carley. Characterizing COVID-19 Misinformation Communities Using a Novel Twitter Dataset, In Proceedings of The 5th International Workshop on Mining Actionable Insights from Social Networks (MAISoN 2020), co-located with CIKM, virtual event due to COVID-19, 2020." The preprint version of the paper can found at https://arxiv.org/abs/2008.00791.
DOI: 10.15161/oar.it/73375
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.6084/m9.figshare.13443182.v1
title: Data files.xlsx

description: Digitized version of IRS Statistics of Income, Corporation Complete Report Table 5.1 (2014-2017), Table 6 (1994-2013), Corporation Source Books, Returns with and without net income (1964-1993). Additional data covering BEA NIPA Corporate Profits Before Tax by Industry, Table 6.17; Federal Reserve, Flow of Funds, Tables L.101-L.108, X.12.
DOI: 10.5281/zenodo.4399149
title: Dataset of the WP4

description: These data were produced acquired by the AML Group at UPAT for the needs of CompInnova’s (H2020 FETOPEN, Grant Agreement No. 665238) during WP4 "Numerical analysis and experimental validation of reference, damaged and repaired aircraft representative structures towards residual properties prediction. Influence of repair geometry on the strength of the repaired structure." The files are in easy read formats as office files, pdf and jpeg. Also raw files are included The requirement of third-party usage of this database will be the referencing of this database and the publications made under the CompInnova project, as referenced under the licensing terms. The data were used in the deliverables D4.1, D4.2 and D4.3
DOI: 10.5281/zenodo.4399148
title: Dataset of the WP4

description: These data were produced acquired by the AML Group at UPAT for the needs of CompInnova’s (H2020 FETOPEN, Grant Agreement No. 665238) during WP4 "Numerical analysis and experimental validation of reference, damaged and repaired aircraft representative structures towards residual properties prediction. Influence of repair geometry on the strength of the repaired structure." The files are in easy read formats as office files, pdf and jpeg. Also raw files are included The requirement of third-party usage of this database will be the referencing of this database and the publications made under the CompInnova project, as referenced under the licensing terms. The data were used in the deliverables D4.1, D4.2 and D4.3
DOI: 10.5281/zenodo.4399145
title: Dataset of the WP5

description: These data were produced acquired by the AML Group at UPAT for the needs of CompInnova’s (H2020 FETOPEN, Grant Agreement No. 665238) during WP5 "Laser-assisted repair and related modules development" The files are in easy read formats as office files, pdf and jpeg. Also raw files are included. The requirement of third-party usage of this database will be the referencing of this database and the publications made under the CompInnova project, as referenced under the licensing terms. The data were used in the deliverables D5.1, D5.2, D5.3 and D5.4.
DOI: 10.5281/zenodo.4399144
title: Dataset of the WP5

description: These data were produced acquired by the AML Group at UPAT for the needs of CompInnova’s (H2020 FETOPEN, Grant Agreement No. 665238) during WP5 "Laser-assisted repair and related modules development" The files are in easy read formats as office files, pdf and jpeg. Also raw files are included. The requirement of third-party usage of this database will be the referencing of this database and the publications made under the CompInnova project, as referenced under the licensing terms. The data were used in the deliverables D5.1, D5.2, D5.3 and D5.4.
DOI: 10.5281/zenodo.4399147
title: Datasets for the manipulator trials during WP7

description: These data were produced acquired by the AML Group at UPAT for the needs of CompInnova’s (H2020 FETOPEN, Grant Agreement No. 665238) for the laser module trials during WP7 "Integration and validation of the prototype system and performance trials" The files are in easy read formats as office files, pdf and jpeg. Also raw files are included. The requirement of third-party usage of this database will be the referencing of this database and the publications made under the CompInnova project, as referenced under the licensing terms. The data were used in the deliverable D7.3
DOI: 10.5281/zenodo.4399146
title: Datasets for the manipulator trials during WP7

description: These data were produced acquired by the AML Group at UPAT for the needs of CompInnova’s (H2020 FETOPEN, Grant Agreement No. 665238) for the laser module trials during WP7 "Integration and validation of the prototype system and performance trials" The files are in easy read formats as office files, pdf and jpeg. Also raw files are included. The requirement of third-party usage of this database will be the referencing of this database and the publications made under the CompInnova project, as referenced under the licensing terms. The data were used in the deliverable D7.3
DOI: 10.6084/m9.figshare.13215617
title: Control of Crystallinity and Stereocomplexation of Synthetic Carbohydrate Polymers from D- and L-Xylose

description: Data to support article:Control of Crystallinity and Stereocomplexation of Synthetic Carbohydrate Polymers from D- and L-Xylose<br><br><i>Authors: Thomas M. McGuire, Jessica Bowles, Edward Deane, Elliot H. E. Farrar, Matthew N. Grayson and </i><i>Antoine Buchard*</i><br>Department of Chemistry, University of Bath, Bath BA2 7AY, United Kingdom<br>Study:-DFT-optimised geometries of D-1 and KOtBu- DFT-optimised geometries of intermediates for the KOtBu initiated opening of D-1-DFT-computed transition states for the KOtBu initiated opening of D-1 at the e,c and a positions and propagation at e and c positions.-DFT-optimised geometries of conformers associated with all minima and transition state structures.<br>Protocol:-Functional: wb97XD-Basis sets/pseudo potential: 6–311++G(2d,p) for K and O atoms. 6–31G(d,p) for C and H atoms.-Solvent model: SMD THF-Temperature: 423.15 K<br>Content:- Gaussian16 rev A.03 output files-Goodvibes output files- Reaction profiles.pdf (contains schemes with free energy values relating to described structures)-Conformational search excel spreadsheet (contains free enthalpies relating to described structures)
DOI: 10.6084/m9.figshare.12966749
title: Data to Support Chapter 7 of Thesis: BIP Adduct Formation

description: Data to Support Chapter 7 of Thesis: BIP Adduct Formation<br><br>Thomas McGuire<br>Study:-DFT-optimised geometries of various borylated iminophosphoranes- DFT-optimised geometries of H2O and 4-MeBnOH<br>Protocol:-Functional: wb97XD-Basis sets: 6–31+G(2d,p)-Temperature: 298.15 K<br>Content:- Gaussian09 rev D.01 output files- Reaction profiles.pdf (contains schemes with free energy values relating to described structures)<br>
DOI: 10.6084/m9.figshare.12966749.v1
title: Data to Support Chapter 7 of Thesis: BIP Adduct Formation

description: Data to Support Chapter 7 of Thesis: BIP Adduct Formation<br><br>Thomas McGuire<br>Study:-DFT-optimised geometries of various borylated iminophosphoranes- DFT-optimised geometries of H2O and 4-MeBnOH<br>Protocol:-Functional: wb97XD-Basis sets: 6–31+G(2d,p)-Temperature: 298.15 K<br>Content:- Gaussian09 rev D.01 output files- Reaction profiles.pdf (contains schemes with free energy values relating to described structures)<br>
DOI: 10.6084/m9.figshare.12966740
title: Data to support Chapter 2 of Thesis: Ring-opened adducts of terpene-derived cyclic carbonates

description: Data to Support Chapter 2 of Thesis: Ring-opened Adducts of Terpene-derived Cyclic Carbonates<br>Thomas McGuire<br>Study:-DFT-optimised geometries of limonene CC, carene CC, carenene CC and <i>trans</i>-CHC- DFT-optimised geometries of MeOH and DMC<br>Protocol:-Functional: wb97XD-Basis sets: 6–31+G(2d,p)-Solvent model: CPCM MeOH-Temperature: 298.15 K<br>Content:- Gaussian09 rev D.01 output files- Reaction profiles.pdf (contains schemes with free energy values relating to described structures)<br>
DOI: 10.6084/m9.figshare.13507200
title: A comparison of free and total 25-hydroxyvitamin D levels as functional indicators of bone health in healthy children

description: <b>Context: </b>The “free hormone” hypothesis suggests that the free 25-hydroxyvitamin D (25OHD<sub>Free</sub>) level may usefully indicate bone health.<b></b> <b>Objective: </b>To determine which vitamin D measure is optimally correlated with clinical and bone parameters in healthy children. <b></b> <b>Design and Participants: </b>A cross-sectional study including 146 healthy children (71 boys, 9.5±1.9 years) at a tertiary medical center. <b>Main Outcome Measures: </b>We used a multiplex liquid chromatography-tandem mass spectrometry-based assay to simultaneously measure vitamin D metabolites. The 25OHD<sub>Free</sub> level was directly measured (m-25OHD<sub>Free</sub>) or calculated using genotype-constant or genotype-specific affinity coefficients of vitamin D-binding proteins (con-25OHD<sub>Free</sub> or spe-25OHD<sub>Free</sub>). Bone mineral content (BMC) and density (BMD) were assessed via dual-energy X-ray absorptiometry. <b></b> <b>Results: </b>The concentrations of total 25OHD (25OHD<sub>Total</sub>), the three forms of 25OHD<sub>Free</sub>, and 24,25-dihydroxyvitamin D<sub>3</sub> correlated with parathyroid hormone levels (all p&lt;0.01). Serum 25OHD<sub>Total</sub> and m-25OHD<sub>Free</sub> levels reflected age, puberty, season, body mass index (BMI), daylight hours, and vitamin D intake (all p&lt;0.05). The con-25OHD<sub>Free </sub>level<sub> </sub>better reflected puberty and daylight hours than did the spe-25OHD<sub>Free </sub>level<sub> </sub>(both p&lt;0.01). The association between the 25OHD<sub>Total</sub> level and bone parameters varied according to the BMI (interaction p&lt;0.05). In 109 normal-weight children, the con-25OHD<sub>Free </sub>level correlated with BMC and BMD (both p&lt;0.05), but the 25OHD<sub>Total</sub> and 24,25-dihydroxyvitamin D<sub>3</sub> levels were associated with BMC (both p&lt;0.05). No association was found in overweight or obese children. <b></b> <b>Conclusions: </b>In healthy children,<b> </b>total and free 25OHD<sub> </sub>levels comparably reflected lifestyle factors. In normal-weight children, the con-25OHD<sub>Free</sub> level reflected BMC and BMD, whereas the 25OHD<sub>Total </sub>level was associated with BMC<sub>.</sub>
DOI: 10.6084/m9.figshare.13507200.v1
title: A comparison of free and total 25-hydroxyvitamin D levels as functional indicators of bone health in healthy children

description: <b>Context: </b>The “free hormone” hypothesis suggests that the free 25-hydroxyvitamin D (25OHD<sub>Free</sub>) level may usefully indicate bone health.<b></b> <b>Objective: </b>To determine which vitamin D measure is optimally correlated with clinical and bone parameters in healthy children. <b></b> <b>Design and Participants: </b>A cross-sectional study including 146 healthy children (71 boys, 9.5±1.9 years) at a tertiary medical center. <b>Main Outcome Measures: </b>We used a multiplex liquid chromatography-tandem mass spectrometry-based assay to simultaneously measure vitamin D metabolites. The 25OHD<sub>Free</sub> level was directly measured (m-25OHD<sub>Free</sub>) or calculated using genotype-constant or genotype-specific affinity coefficients of vitamin D-binding proteins (con-25OHD<sub>Free</sub> or spe-25OHD<sub>Free</sub>). Bone mineral content (BMC) and density (BMD) were assessed via dual-energy X-ray absorptiometry. <b></b> <b>Results: </b>The concentrations of total 25OHD (25OHD<sub>Total</sub>), the three forms of 25OHD<sub>Free</sub>, and 24,25-dihydroxyvitamin D<sub>3</sub> correlated with parathyroid hormone levels (all p&lt;0.01). Serum 25OHD<sub>Total</sub> and m-25OHD<sub>Free</sub> levels reflected age, puberty, season, body mass index (BMI), daylight hours, and vitamin D intake (all p&lt;0.05). The con-25OHD<sub>Free </sub>level<sub> </sub>better reflected puberty and daylight hours than did the spe-25OHD<sub>Free </sub>level<sub> </sub>(both p&lt;0.01). The association between the 25OHD<sub>Total</sub> level and bone parameters varied according to the BMI (interaction p&lt;0.05). In 109 normal-weight children, the con-25OHD<sub>Free </sub>level correlated with BMC and BMD (both p&lt;0.05), but the 25OHD<sub>Total</sub> and 24,25-dihydroxyvitamin D<sub>3</sub> levels were associated with BMC (both p&lt;0.05). No association was found in overweight or obese children. <b></b> <b>Conclusions: </b>In healthy children,<b> </b>total and free 25OHD<sub> </sub>levels comparably reflected lifestyle factors. In normal-weight children, the con-25OHD<sub>Free</sub> level reflected BMC and BMD, whereas the 25OHD<sub>Total </sub>level was associated with BMC<sub>.</sub>
DOI: 10.5517/ccdc.csd.cct583b
title: CCDC 749831: Experimental Crystal Structure Determination

description: Related Article: Jesús García López,  Pablo M. Sansores Peraza,  María José Iglesias,  Laura Roces,  Santiago García-Granda,  Fernando López Ortiz|2020|J.Org.Chem.|85|14570|doi:10.1021/acs.joc.0c01270
DOI: 10.5517/ccdc.csd.cct584c
title: CCDC 749832: Experimental Crystal Structure Determination

description: Related Article: Jesús García López,  Pablo M. Sansores Peraza,  María José Iglesias,  Laura Roces,  Santiago García-Granda,  Fernando López Ortiz|2020|J.Org.Chem.|85|14570|doi:10.1021/acs.joc.0c01270
DOI: 10.5517/ccdc.csd.ccxdch4
title: CCDC 846036: Experimental Crystal Structure Determination

description: Related Article: Jesús García López,  Pablo M. Sansores Peraza,  María José Iglesias,  Laura Roces,  Santiago García-Granda,  Fernando López Ortiz|2020|J.Org.Chem.|85|14570|doi:10.1021/acs.joc.0c01270
DOI: 10.5517/ccdc.csd.cc23h8yv
title: CCDC 1951107: Experimental Crystal Structure Determination

description: Related Article: Chun-Hua Huang,  Dan Xu,  Li Qin,  Pei-Lin Li,  Tian-Shu Tang,  Ben-Zhan Zhu|2020|J.Org.Chem.|85|14945|doi:10.1021/acs.joc.0c01675
DOI: 10.5517/ccdc.csd.cc23ybl0
title: CCDC 1964612: Experimental Crystal Structure Determination

description: Related Article: Luis Daniel Sifuentes-Vázquez, Eduardo Martínez-González, Rubén A. Toscano, Rubén Gaviño, Jorge Cárdenas, Carlos Antonio Rius-Alonso, Carlos Amador-Bedolla, Gustavo Alberto García de la Mora, Victor Manuel Ugalde-Saldivar|2020|Polycyclic Aromat.Compd.|40|1|doi:10.1080/10406638.2020.1749858
DOI: 10.5517/ccdc.csd.cc25g2k9
title: CCDC 2009530: Experimental Crystal Structure Determination

description: Related Article: Zeyu Han,  David Röhner,  Kerim Samedov,  Derek P. Gates|2020|J.Org.Chem.|85|14643|doi:10.1021/acs.joc.0c01514
DOI: 10.5517/ccdc.csd.cc25g2lb
title: CCDC 2009531: Experimental Crystal Structure Determination

description: Related Article: Zeyu Han,  David Röhner,  Kerim Samedov,  Derek P. Gates|2020|J.Org.Chem.|85|14643|doi:10.1021/acs.joc.0c01514
DOI: 10.5517/ccdc.csd.cc25qbfp
title: CCDC 2017462: Experimental Crystal Structure Determination

description: Related Article: Meng-Fan Li,  An-Qi Miao,  Hong-Yu Zhu,  Rong Wang,  Wen-Juan Hao,  Shu-Jiang Tu,  Bo Jiang|2020|J.Org.Chem.|85|13602|doi:10.1021/acs.joc.0c01722
DOI: 10.5517/ccdc.csd.cc25wlrf
title: CCDC 2022525: Experimental Crystal Structure Determination

description: Related Article: Alejandro Blasco-Brusola,  Ignacio Vayá,  Miguel A. Miranda|2020|J.Org.Chem.|85|14068|doi:10.1021/acs.joc.0c02088
DOI: 10.5517/ccdc.csd.cc25y41b
title: CCDC 2023991: Experimental Crystal Structure Determination

description: Related Article: Zeyu Han,  David Röhner,  Kerim Samedov,  Derek P. Gates|2020|J.Org.Chem.|85|14643|doi:10.1021/acs.joc.0c01514
DOI: 10.5517/ccdc.csd.cc2607n4
title: CCDC 2026025: Experimental Crystal Structure Determination

description: Related Article: Michael P. Luciano,  Adewole O. Atoyebi,  Weston Tardie,  Matthias Zeller,  Christian Brückner|2020|J.Org.Chem.|85|15273|doi:10.1021/acs.joc.0c02108
DOI: 10.5517/ccdc.csd.cc2607p5
title: CCDC 2026026: Experimental Crystal Structure Determination

description: Related Article: Michael P. Luciano,  Adewole O. Atoyebi,  Weston Tardie,  Matthias Zeller,  Christian Brückner|2020|J.Org.Chem.|85|15273|doi:10.1021/acs.joc.0c02108