cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc225mpl
title: CCDC 1912039: Experimental Crystal Structure Determination

description: Related Article: Ching-Kai Lin|2019|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.cc225y07
title: CCDC 1912328: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold and W. Scott Kassel|2019|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.cc1ly5g5
title: CCDC 1487797: Experimental Crystal Structure Determination

description: Related Article: Amarjit Kamath, Guillaume Pilet, Abiral Tamang, Biswajit Sinha|2020|J.Mol.Struct.|1199|126933|doi:10.1016/j.molstruc.2019.126933
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.cc23j7xt
title: CCDC 1952036: Experimental Crystal Structure Determination

description: Related Article: James D. Cope,  Henry U. Valle,  Ruby S. Hall,  Kathleen M. Riley,  Ekta Goel,  Saborni Biswas,  Michael P. Hendrich,  David O. Wipf,  Sean L. Stokes,  Joseph Emerson|2020|Eur.J.Inorg.Chem.|2020|1278|doi:10.1002/ejic.201901269
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: 10.21223/mxkuik/od1aw4
title: 01_Data_Adaptation_and_Efficiency_Trials.tab

description: :unav
DOI: 10.21223/mxkuik/hhskbb
title: 02_Data_dictionary_Adaptation_Efficiency_trials.tab

description: :unav
DOI: 10.5281/zenodo.7221580
title: SciExpeM - 10.5281/zenodo.7221580

description: Galmiche, B.; Togbé, C.; Dagaut, P.; Halter, F.; Foucher, F. - Energy & Fuels, 2011, (25), 2013-2021
DOI: 10.5281/zenodo.7221579
title: SciExpeM - 10.5281/zenodo.7221580

description: Galmiche, B.; Togbé, C.; Dagaut, P.; Halter, F.; Foucher, F. - Energy & Fuels, 2011, (25), 2013-2021
DOI: 10.5281/zenodo.7221582
title: SciExpeM - 10.5281/zenodo.7221582

description: Galmiche, B.; Togbé, C.; Dagaut, P.; Halter, F.; Foucher, F. - Energy & Fuels, 2011, (25), 2013-2021
DOI: 10.5281/zenodo.7221581
title: SciExpeM - 10.5281/zenodo.7221582

description: Galmiche, B.; Togbé, C.; Dagaut, P.; Halter, F.; Foucher, F. - Energy & Fuels, 2011, (25), 2013-2021
DOI: 10.5281/zenodo.7221584
title: SciExpeM - 10.5281/zenodo.7221584

description: Galmiche, B.; Togbé, C.; Dagaut, P.; Halter, F.; Foucher, F. - Energy & Fuels, 2011, (25), 2013-2021
DOI: 10.5281/zenodo.7221583
title: SciExpeM - 10.5281/zenodo.7221584

description: Galmiche, B.; Togbé, C.; Dagaut, P.; Halter, F.; Foucher, F. - Energy & Fuels, 2011, (25), 2013-2021
DOI: 10.5281/zenodo.7221586
title: SciExpeM - 10.5281/zenodo.7221586

description: Man, Xingjia; Tang, Chenglong; Zhang, Jiaxiang; Zhang, Yingjia; Pan, Lun; Huang, Zuohua; Law, Chung K. - Combustion And Flame, 2014, (161), 644-656
DOI: 10.5281/zenodo.7221585
title: SciExpeM - 10.5281/zenodo.7221586

description: Man, Xingjia; Tang, Chenglong; Zhang, Jiaxiang; Zhang, Yingjia; Pan, Lun; Huang, Zuohua; Law, Chung K. - Combustion And Flame, 2014, (161), 644-656
DOI: 10.5281/zenodo.7221588
title: SciExpeM - 10.5281/zenodo.7221588

description: Man, Xingjia; Tang, Chenglong; Zhang, Jiaxiang; Zhang, Yingjia; Pan, Lun; Huang, Zuohua; Law, Chung K. - Combustion And Flame, 2014, (161), 644-656
DOI: 10.5281/zenodo.7221587
title: SciExpeM - 10.5281/zenodo.7221588

description: Man, Xingjia; Tang, Chenglong; Zhang, Jiaxiang; Zhang, Yingjia; Pan, Lun; Huang, Zuohua; Law, Chung K. - Combustion And Flame, 2014, (161), 644-656
DOI: 10.5281/zenodo.7221590
title: SciExpeM - 10.5281/zenodo.7221590

description: Man, Xingjia; Tang, Chenglong; Zhang, Jiaxiang; Zhang, Yingjia; Pan, Lun; Huang, Zuohua; Law, Chung K. - Combustion And Flame, 2014, (161), 644-656
DOI: 10.5281/zenodo.7221589
title: SciExpeM - 10.5281/zenodo.7221590

description: Man, Xingjia; Tang, Chenglong; Zhang, Jiaxiang; Zhang, Yingjia; Pan, Lun; Huang, Zuohua; Law, Chung K. - Combustion And Flame, 2014, (161), 644-656
DOI: 10.5281/zenodo.7221592
title: SciExpeM - 10.5281/zenodo.7221592

description: Man, Xingjia; Tang, Chenglong; Zhang, Jiaxiang; Zhang, Yingjia; Pan, Lun; Huang, Zuohua; Law, Chung K. - Combustion And Flame, 2014, (161), 644-656
DOI: 10.5281/zenodo.7221591
title: SciExpeM - 10.5281/zenodo.7221592

description: Man, Xingjia; Tang, Chenglong; Zhang, Jiaxiang; Zhang, Yingjia; Pan, Lun; Huang, Zuohua; Law, Chung K. - Combustion And Flame, 2014, (161), 644-656
DOI: 10.5281/zenodo.7221594
title: SciExpeM - 10.5281/zenodo.7221594

description: Man, Xingjia; Tang, Chenglong; Zhang, Jiaxiang; Zhang, Yingjia; Pan, Lun; Huang, Zuohua; Law, Chung K. - Combustion And Flame, 2014, (161), 644-656
DOI: 10.5281/zenodo.7221593
title: SciExpeM - 10.5281/zenodo.7221594

description: Man, Xingjia; Tang, Chenglong; Zhang, Jiaxiang; Zhang, Yingjia; Pan, Lun; Huang, Zuohua; Law, Chung K. - Combustion And Flame, 2014, (161), 644-656
DOI: 10.5281/zenodo.7221596
title: SciExpeM - 10.5281/zenodo.7221596

description: Man, Xingjia; Tang, Chenglong; Zhang, Jiaxiang; Zhang, Yingjia; Pan, Lun; Huang, Zuohua; Law, Chung K. - Combustion And Flame, 2014, (161), 644-656
DOI: 10.5281/zenodo.7221595
title: SciExpeM - 10.5281/zenodo.7221596

description: Man, Xingjia; Tang, Chenglong; Zhang, Jiaxiang; Zhang, Yingjia; Pan, Lun; Huang, Zuohua; Law, Chung K. - Combustion And Flame, 2014, (161), 644-656
DOI: 10.5281/zenodo.7221598
title: SciExpeM - 10.5281/zenodo.7221598

description: K.E. Noorani, B. Akih-Kumgeh, J.M. Bergthorson, Energy and Fuels 24 (2010), 5834-5843
DOI: 10.5281/zenodo.7221597
title: SciExpeM - 10.5281/zenodo.7221598

description: K.E. Noorani, B. Akih-Kumgeh, J.M. Bergthorson, Energy and Fuels 24 (2010), 5834-5843
DOI: 10.5281/zenodo.7221600
title: SciExpeM - 10.5281/zenodo.7221600

description: K.E. Noorani, B. Akih-Kumgeh, J.M. Bergthorson, Energy and Fuels 24 (2010), 5834-5843
DOI: 10.5281/zenodo.7221599
title: SciExpeM - 10.5281/zenodo.7221600

description: K.E. Noorani, B. Akih-Kumgeh, J.M. Bergthorson, Energy and Fuels 24 (2010), 5834-5843
DOI: 10.5281/zenodo.7221602
title: SciExpeM - 10.5281/zenodo.7221602

description: Johnson, Michael V.; Goldsborough, S. Scott; Serinyel, Zeynep; O'Toole, Peter; Larkin, Eoin; O'Malley, Grainne; Curran, Henry J. - Energy & Fuels, 2009, (23), 5886-5898
DOI: 10.5281/zenodo.7221601
title: SciExpeM - 10.5281/zenodo.7221602

description: Johnson, Michael V.; Goldsborough, S. Scott; Serinyel, Zeynep; O'Toole, Peter; Larkin, Eoin; O'Malley, Grainne; Curran, Henry J. - Energy & Fuels, 2009, (23), 5886-5898
DOI: 10.6084/m9.figshare.21354078.v1
title: Figure 6

description: raw data
DOI: 10.6084/m9.figshare.21354201.v1
title: Figure 1

description: original data
DOI: 10.6084/m9.figshare.21354078
title: Figure 6

description: raw data
DOI: 10.6084/m9.figshare.21354201
title: Figure 1

description: original data
DOI: 10.6084/m9.figshare.21354099
title: Figures

description: unprocessed data
DOI: 10.6084/m9.figshare.21354099.v2
title: Figures

description: unprocessed data
DOI: 10.25420/britishmuseum.21355191
title: 2019SG03-0000 Project Metadata

description: Metadata spreadsheet with all the metadata information for the assets uploaded in project 2019SG03 following the Material Culture Ethnography Metadata Schema (MCEMS), which was developed for the Endangered Material Knowledge Programme (EMKP). MCEMS is intended to record the metadata for digital objects that were created as part of ethnographic research recording material culture, living heritage, cultural practices, and different forms of knowledge. Its aim is to aid the preservation of ethnography-specific information, facilitate archiving for future re-use and accessibility, and increase the online findability and presence of ethnographic data and research.
DOI: 10.25420/britishmuseum.21355191.v1
title: 2019SG03-0000 Project Metadata

description: Metadata spreadsheet with all the metadata information for the assets uploaded in project 2019SG03 following the Material Culture Ethnography Metadata Schema (MCEMS), which was developed for the Endangered Material Knowledge Programme (EMKP). MCEMS is intended to record the metadata for digital objects that were created as part of ethnographic research recording material culture, living heritage, cultural practices, and different forms of knowledge. Its aim is to aid the preservation of ethnography-specific information, facilitate archiving for future re-use and accessibility, and increase the online findability and presence of ethnographic data and research.
DOI: 10.6084/m9.figshare.21355395
title: newborn glycemic values.ods

description: We studied 172 appropriate for gestational age term newborns, who were exclusively breastfed, from 2 hours to 25 hours of life, using a continuous glucose monitoring device which calculates interstitial glycemia every 5 minutes. The study was approved by the Research Ethics Committee (protocol 10532/2013). All study procedures were described in detail to the mother, father or legal guardian, who gave written informed consent for the participation of their child in the study.
DOI: 10.6084/m9.figshare.21355395.v1
title: newborn glycemic values.ods

description: We studied 172 appropriate for gestational age term newborns, who were exclusively breastfed, from 2 hours to 25 hours of life, using a continuous glucose monitoring device which calculates interstitial glycemia every 5 minutes. The study was approved by the Research Ethics Committee (protocol 10532/2013). All study procedures were described in detail to the mother, father or legal guardian, who gave written informed consent for the participation of their child in the study.
DOI: 10.6084/m9.figshare.21355416
title: Supplementary Material – Development of microsatellite markers in Pterodon pubescens and transferability to Pterodon emarginatus, two Brazilian plant species with medicinal potential

description: Table S1 – Brazilian municipalities and geographic coordinates (latitude and longitude) where six individuals of <em>Pterodon pubescens</em> and six of <em>Pterodon emarginatus</em> were sampled Table S2 – Characteristics of 27 polymorphic microsatellite loci developed in <em>Pterodon pubescens </em>and 26 transferred to<em> P. emarginatus</em> Table S3 –<em> </em>Genetic characterization of 10 microsatellite loci in two natural populations of <em>Pterodon pubescens</em> (A, n = 2 x 24) Table S4 – Genetic characterization of 10 microsatellite loci in two natural populations of <em>Pterodon emarginatus</em> B, (n = 2 x 24) <strong>This Supplementary Material is part of the Original Paper doi: &lt;</strong>10.1590/2175-7860202273091&gt;
DOI: 10.6084/m9.figshare.21355416.v1
title: Supplementary Material – Development of microsatellite markers in Pterodon pubescens and transferability to Pterodon emarginatus, two Brazilian plant species with medicinal potential

description: Table S1 – Brazilian municipalities and geographic coordinates (latitude and longitude) where six individuals of <em>Pterodon pubescens</em> and six of <em>Pterodon emarginatus</em> were sampled Table S2 – Characteristics of 27 polymorphic microsatellite loci developed in <em>Pterodon pubescens </em>and 26 transferred to<em> P. emarginatus</em> Table S3 –<em> </em>Genetic characterization of 10 microsatellite loci in two natural populations of <em>Pterodon pubescens</em> (A, n = 2 x 24) Table S4 – Genetic characterization of 10 microsatellite loci in two natural populations of <em>Pterodon emarginatus</em> B, (n = 2 x 24) <strong>This Supplementary Material is part of the Original Paper doi: &lt;</strong>10.1590/2175-7860202273091&gt;
DOI: 10.6084/m9.figshare.21355413
title: Turkey welfare score proportions in each enrichment group at each age.xlsx

description: Turkey welfare score proportions in each enrichment group at each age
DOI: 10.6084/m9.figshare.21355413.v1
title: Turkey welfare score proportions in each enrichment group at each age.xlsx

description: Turkey welfare score proportions in each enrichment group at each age
DOI: 10.6084/m9.figshare.21355404.v1
title: Dataset

description: The complete raw dataset collected in the study<br> including the participants’ dataset.
DOI: 10.23641/asha.17704391.v2
title: The English–Spanish Vocabulary Inventory (De Anda et al., 2022)

description: <strong>Purpose:</strong> Despite the increasing population of dual language learners (DLLs) in the United States, vocabulary measures for young DLLs have largely relied on instruments developed for monolinguals. The multistudy project reports on the psychometric properties of the English–Spanish Vocabulary Inventory (ESVI), which was designed to capture unique cross-language measures of lexical knowledge that are critical for assessing DLLs’ vocabulary, including translation equivalents (whether the child knows the words for the same concept in each language), total vocabulary (the number of words known across both languages), and conceptual vocabulary (the number of words known that represent unique concepts in either language). <strong>Method: </strong>Three studies included 87 Spanish–English DLLs (<em>M</em><sub>age</sub> = 26.58 months, <em>SD </em>= 2.86 months) with and without language delay from two geographic regions. Multiple measures (e.g., caregiver report, observation, behavioral tasks, and standardized assessments) determined content validity, construct validity, social validity, and criterion validity of the ESVI. <strong>Results: </strong>Monolingual instruments used in bilingual contexts significantly undercounted lexical knowledge as measured on the ESVI. Scores on the ESVI were related to performance on other measures of communication, indicating acceptable content, construct, and criterion validity. Social validity ratings were similarly positive. ESVI scores were also associated with suspected language delay. <strong>Conclusions: </strong>These studies provide initial evidence of the adequacy of the ESVI for use in research and clinical contexts with young children learning English and Spanish (with or without a language delay). Developing tools such as the ESVI promotes culturally and linguistically responsive practices that support accurate assessment of DLLs’ lexical development. <br> <strong>Supplemental Material S1. </strong>English–Spanish Vocabulary Inventory (ESVI) correlations across studies. <br> <strong>Supplemental Material S2. </strong>English–Spanish Vocabulary Inventory (ESVI) regression results across studies. <br> De Anda, S., Cycyk, L. M., Moore, H., Huerta, L., Larson, A. L., & King, M. (2022). Psychometric properties of the English–Spanish Vocabulary Inventory in toddlers with and without early language delay. <em>Journal of Speech, Language, and Hearing Research</em>. Advance online publication. https://doi.org/10.1044/2021_JSLHR-21-00240
DOI: 10.23641/asha.17704391
title: The English–Spanish Vocabulary Inventory (De Anda et al., 2022)

description: <strong>Purpose:</strong> Despite the increasing population of dual language learners (DLLs) in the United States, vocabulary measures for young DLLs have largely relied on instruments developed for monolinguals. The multistudy project reports on the psychometric properties of the English–Spanish Vocabulary Inventory (ESVI), which was designed to capture unique cross-language measures of lexical knowledge that are critical for assessing DLLs’ vocabulary, including translation equivalents (whether the child knows the words for the same concept in each language), total vocabulary (the number of words known across both languages), and conceptual vocabulary (the number of words known that represent unique concepts in either language). <strong>Method: </strong>Three studies included 87 Spanish–English DLLs (<em>M</em><sub>age</sub> = 26.58 months, <em>SD </em>= 2.86 months) with and without language delay from two geographic regions. Multiple measures (e.g., caregiver report, observation, behavioral tasks, and standardized assessments) determined content validity, construct validity, social validity, and criterion validity of the ESVI. <strong>Results: </strong>Monolingual instruments used in bilingual contexts significantly undercounted lexical knowledge as measured on the ESVI. Scores on the ESVI were related to performance on other measures of communication, indicating acceptable content, construct, and criterion validity. Social validity ratings were similarly positive. ESVI scores were also associated with suspected language delay. <strong>Conclusions: </strong>These studies provide initial evidence of the adequacy of the ESVI for use in research and clinical contexts with young children learning English and Spanish (with or without a language delay). Developing tools such as the ESVI promotes culturally and linguistically responsive practices that support accurate assessment of DLLs’ lexical development. <br> <strong>Supplemental Material S1. </strong>English–Spanish Vocabulary Inventory (ESVI) correlations across studies. <br> <strong>Supplemental Material S2. </strong>English–Spanish Vocabulary Inventory (ESVI) regression results across studies. <br> De Anda, S., Cycyk, L. M., Moore, H., Huerta, L., Larson, A. L., & King, M. (2022). Psychometric properties of the English–Spanish Vocabulary Inventory in toddlers with and without early language delay. <em>Journal of Speech, Language, and Hearing Research</em>. Advance online publication. https://doi.org/10.1044/2021_JSLHR-21-00240
DOI: 10.5517/ccdc.csd.cc29hkv7
title: CCDC 2130129: Experimental Crystal Structure Determination

description: Related Article: Zhen Yao, Ji Yang, Zhenli Luo, Heyu Wang, Xin Zhang, Jianhan Ye, Lijin Xu, Qian Shi|2022|Green Chemistry|24|7968|doi:10.1039/D2GC02613A
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.3518960
title: ClaimsKG - A Knowledge Graph of Fact-Checked Claims

description: <strong>The latest release of ClaimsKG is available in Datorium.</strong> <strong>ClaimsKG</strong> is a <em>knowledge graph</em> of metadata information for thousands of fact-checked claims which facilitates structured queries about their truth values, authors, dates, and other kinds of metadata. <strong>ClaimsKG </strong>is generated through a (semi-)automated pipeline, which harvests claim-related data from popular fact-checking web sites, annotates them with related entities from DBpedia, and lifts all data to RDF using an RDF/S model that makes use of established vocabularies (such as schema.org). <strong>ClaimsKG </strong>does NOT contain the text of the reviews from the fact-checking web sites; it only contains structured metadata information and links to the reviews. More information, such as statistics, query examples and a user friendly interface to explore the knowledge graph, is available at: https://data.gesis.org/claimskg/site If you use <strong>ClaimsKG</strong>, please cite the below paper: Tchechmedjiev, Andon, Pavlos Fafalios, Katarina Boland, Malo Gasquet, Matthäus Zloch, Benjamin Zapilko, Stefan Dietze, and Konstantin Todorov. "ClaimsKG: a Knowledge Graph of Fact-Checked Claims." In <em>International Semantic Web Conference</em>, pp. 309-324. Springer, Cham, 2019. https://doi.org/10.1007/978-3-030-30796-7_20<br> [pdf, bib]
DOI: 10.5281/zenodo.2628744
title: ClaimsKG - A Knowledge Graph of Fact-Checked Claims

description: <strong>The latest release of ClaimsKG is available in Datorium.</strong> <strong>ClaimsKG</strong> is a <em>knowledge graph</em> of metadata information for thousands of fact-checked claims which facilitates structured queries about their truth values, authors, dates, and other kinds of metadata. <strong>ClaimsKG </strong>is generated through a (semi-)automated pipeline, which harvests claim-related data from popular fact-checking web sites, annotates them with related entities from DBpedia, and lifts all data to RDF using an RDF/S model that makes use of established vocabularies (such as schema.org). <strong>ClaimsKG </strong>does NOT contain the text of the reviews from the fact-checking web sites; it only contains structured metadata information and links to the reviews. More information, such as statistics, query examples and a user friendly interface to explore the knowledge graph, is available at: https://data.gesis.org/claimskg/site If you use <strong>ClaimsKG</strong>, please cite the below paper: Tchechmedjiev, Andon, Pavlos Fafalios, Katarina Boland, Malo Gasquet, Matthäus Zloch, Benjamin Zapilko, Stefan Dietze, and Konstantin Todorov. "ClaimsKG: a Knowledge Graph of Fact-Checked Claims." In <em>International Semantic Web Conference</em>, pp. 309-324. Springer, Cham, 2019. https://doi.org/10.1007/978-3-030-30796-7_20<br> [pdf, bib]
DOI: 10.5281/zenodo.2628745
title: ClaimsKG - A Knowledge Graph of Fact-Checked Claims

description: <strong>ClaimsKG</strong> is a <em>knowledge graph</em> of metadata information for thousands of fact-checked claims which facilitates structured queries about their truth values, authors, dates, and other kinds of metadata. <strong>ClaimsKG </strong>is generated through a (semi-)automated pipeline, which harvests claim-related data from popular fact-checking web sites, annotates them with related entities from DBpedia, and lifts all data to RDF using an RDF/S model that makes use of established vocabularies (such as schema.org). <strong>ClaimsKG </strong>does NOT contain the text of the reviews from the fact-checking web sites; it only contains structured metadata information and links to the reviews. More information, such as statistics, query examples and a user friendly interface to explore the knowledge graph, is available at: https://data.gesis.org/claimskg/site <strong>There is a newer version of the dataset available!</strong>
DOI: 10.6084/m9.figshare.13633877
title: Developing luminescence analysis of Icelandic volcanic glass: a case study using the Þórsmörk Ignimbrite - Datasets - (Stephen J. Roberts (sjro@bas.ac.uk), David C.W. Sanderson, Andrew J. Dugmore)

description: Full datasets associated for: Developing luminescence analysis of Icelandic volcanic glass: a case study using the Þórsmörk Ignimbrite<br>Stephen J. Roberts, David C.W. Sanderson, Andrew J. Dugmore<br>
DOI: 10.6084/m9.figshare.13633877.v1
title: Developing luminescence analysis of Icelandic volcanic glass: a case study using the Þórsmörk Ignimbrite - Datasets - (Stephen J. Roberts (sjro@bas.ac.uk), David C.W. Sanderson, Andrew J. Dugmore)

description: Full datasets associated for: Developing luminescence analysis of Icelandic volcanic glass: a case study using the Þórsmörk Ignimbrite<br>Stephen J. Roberts, David C.W. Sanderson, Andrew J. Dugmore<br>