cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.2596376
title: The spin of the second-born black hole in coalescing binary black holes

description: MESA inlists associated with The spin of the second-born black hole in coalescing binary black holes
DOI: 10.18430/m36o4n
title: X-ray diffraction data for the crystal Structure of Enolase from Chlamydia trachomatis (6O4N)
DOI: 10.17632/pk22y3t73r.1
title: Data for: Parasite community as a potential predictor of host population structure: an example using Callorhinchus capensis

description: Raw data file set for "Parasite community structure as a predictor of host population structure: an example using Callorhinchus capensis" - Morris et al. Data set includes locations of sample collection, host measurements, and parasite abundance values.
DOI: 10.5517/ccdc.csd.cc1n4ql3
title: CCDC 1523885: Experimental Crystal Structure Determination

description: Related Article: Maryam Aidi, Hassan Keypour, Amir Shooshtari, Mehdi Bayat, Leila Hosseinzadeh, Hadi Amiri Rudbari, Robert William Gable|2018|Inorg.Chim.Acta|490|294|doi:10.1016/j.ica.2018.12.046
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.cc1pzk8h
title: CCDC 1578497: Experimental Crystal Structure Determination

description: Related Article: Paulina Sołtysiak, Bartosz Zarychta, Grzegorz Spaleniak, Krzysztof Ejsmont|2019|J.Mol.Struct.|1186|317|doi:10.1016/j.molstruc.2019.03.040
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.cc1pzk9j
title: CCDC 1578498: Experimental Crystal Structure Determination

description: Related Article: Paulina Sołtysiak, Bartosz Zarychta, Grzegorz Spaleniak, Krzysztof Ejsmont|2019|J.Mol.Struct.|1186|317|doi:10.1016/j.molstruc.2019.03.040
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.cc1zhsz7
title: CCDC 1832440: Experimental Crystal Structure Determination

description: Related Article: Vidya Zende, TejpalSingh R. Girase, Nicolas Chrysochos, Carola Schulzke, Anant R. Kapdi|2019|J.Organomet.Chem.|888|44|doi:10.1016/j.jorganchem.2019.03.008
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.cc1zht09
title: CCDC 1832441: Experimental Crystal Structure Determination

description: Related Article: Vidya Zende, TejpalSingh R. Girase, Nicolas Chrysochos, Carola Schulzke, Anant R. Kapdi|2019|J.Organomet.Chem.|888|44|doi:10.1016/j.jorganchem.2019.03.008
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.cc1zht1b
title: CCDC 1832442: Experimental Crystal Structure Determination

description: Related Article: Vidya Zende, TejpalSingh R. Girase, Nicolas Chrysochos, Carola Schulzke, Anant R. Kapdi|2019|J.Organomet.Chem.|888|44|doi:10.1016/j.jorganchem.2019.03.008
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.cc1zht2c
title: CCDC 1832443: Experimental Crystal Structure Determination

description: Related Article: Vidya Zende, TejpalSingh R. Girase, Nicolas Chrysochos, Carola Schulzke, Anant R. Kapdi|2019|J.Organomet.Chem.|888|44|doi:10.1016/j.jorganchem.2019.03.008
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.cc202tdb
title: CCDC 1849751: Experimental Crystal Structure Determination

description: Related Article: Rosalie Hamill, Benjamin Jones, Christopher M. Pask, Visuvanathar Sridharan|2019|Tetrahedron Lett.|60|1126|doi:10.1016/j.tetlet.2019.03.042
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.cc20cgc7
title: CCDC 1858058: Experimental Crystal Structure Determination

description: Related Article: Silvia Hristova, Fadhil S. Kamounah, Aurelien Crochet, Poul Erik Hansen, Katharina M. Fromm, Daniela Nedeltcheva, Liudmil Antonov|2019|J.Mol.Liq.|283|242|doi:10.1016/j.molliq.2019.03.073
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: 10.5525/gla.researchdata.733
title: Analysing livestock network data for infectious diseases control: an argument for routine data collection in emerging economies
DOI: 10.5286/isis.e.rb620144-1
title: 620144
DOI: 10.5517/ccdc.csd.cc210f1k
title: CCDC 1877237: Experimental Crystal Structure Determination

description: Related Article: Marlena Pięta, Jacek Kędzia, Dorota Kowalczyk, Jakub Wojciechowski, Wojciech M. Wolf, Tomasz Janecki|2019|Tetrahedron|75|2495|doi:10.1016/j.tet.2019.03.024
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.cc2199c1
title: CCDC 1885772: Experimental Crystal Structure Determination

description: Related Article: Zhao-Hao Li, Li-Ping Xue, Qiu-Pei Qin, Jun Zhang, Jin-Miao Wang, Xiao-Yao Zhang, Bang-Tun Zhao|2019|J.Solid State Chem.|274|81|doi:10.1016/j.jssc.2019.03.020
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.cc21cpty
title: CCDC 1888080: Experimental Crystal Structure Determination

description: Related Article: Narayan Ch. Jana, Moumita Patra, Paula Brandão, Anangamohan Panja|2019|Inorg.Chim.Acta|490|163|doi:10.1016/j.ica.2019.03.017
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.cc21cpvz
title: CCDC 1888081: Experimental Crystal Structure Determination

description: Related Article: Narayan Ch. Jana, Moumita Patra, Paula Brandão, Anangamohan Panja|2019|Inorg.Chim.Acta|490|163|doi:10.1016/j.ica.2019.03.017
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.cc21cpw0
title: CCDC 1888082: Experimental Crystal Structure Determination

description: Related Article: Narayan Ch. Jana, Moumita Patra, Paula Brandão, Anangamohan Panja|2019|Inorg.Chim.Acta|490|163|doi:10.1016/j.ica.2019.03.017
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.cc21f9mf
title: CCDC 1889624: Experimental Crystal Structure Determination

description: Related Article: Yusuke Takahashi, Takuya Uehara, Chihiro Matsuhashi, Minoru Yamaji, Toshiki Mutai, Isao Yoshikawa, Hirohiko Houjou, Kota Kitagawa, Tomoyoshi Suenobu, Shojiro Maki, Takashi Hirano|2019|J.Photochem.Photobiol.A:Chem.|376|324|doi:10.1016/j.jphotochem.2019.03.021
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: 10.6084/m9.figshare.12656702
title: Metadata record for the manuscript: Characterization of four subtypes in morphologically normal tissue excised proximal and distal to breast cancer

description: <b>Summary</b>This metadata record provides details of the data supporting the claims of the related manuscript: “Characterization of four subtypes in morphologically normal tissue excised proximal and distal to breast cancer”.<br>The related study performed a comprehensive transcriptomic and proteomic analysis to characterize 57 fresh-frozen tissues from breast cancers and matched histologically normal tissues resected proximal to (&lt;2 cm) and distant from (5-10 cm) the primary tumor, using tissues from cosmetic reduction mammoplasties as baseline.<br><br><b>Data access</b>The transcriptomic and proteomic data have been deposited in the European Genotype-Phenotype Archive under the following accession number: https://identifiers.org/ega.study:EGAS00001004510. The transcriptomic findings are available for top-level analyses from Breast Cancer Now Tissue Bank (BCNTB) bioinformatics (http://bioinformatics.breastcancertissuebank.org). BCNTB bioinformatics will allow researchers to conduct exploratory, investigative and interpretative analyses on the pre-processed data.<br>Other data are included with this metadata record and are as follows:- <b>Supplementary Table 1.xlsx</b> - Clinical and pathological characteristics of the cohort- <b>Supplementary Table 2.xlsx</b> - PAM50 probability scores- <b>Supplementary Table 3.xlsx</b> - Gene classifier- <b>Supplementary Table 4.xlsx</b> - NCI pathways enriched and depleted in each subtype- <b>Supplementary Table 5.xlsx</b> - Non-coding RNAs defining the nc-enriched subtype- <b>Supplementary Table 6.xlsx</b> - Genes with prognostic potential in histologically normal tissues- <b>Supplementary Figures.docx</b> - PCA of the transcriptomic landscape; Molecular classification of proximal and distal samples; Differential expression analysis of tumor, and matched normal tissues; GO terms and pathways enriched in each spatial group; NMF consensus clustering of the samples; Testing the predictive capability of the transcriptomic subtypes
DOI: 10.6084/m9.figshare.22618190.v1
title: Additional file 8 of Automated quantitative trait locus analysis (AutoQTL)

description: Additional file 8.
DOI: 10.6084/m9.figshare.22618097
title: Additional file 9 of Constructing a seventeen-gene signature model for non-obstructive azoospermia based on integrated transcriptome analyses and WGCNA

description: Additional file 9: Supplementary Material 1. Detailed information of protein-protein interaction network.
DOI: 10.6084/m9.figshare.10036625
title: MOESM6 of Comparative transcriptomics among floral organs of the basal eudicot Eschscholzia californica as reference for floral evolutionary developmental studies

description: Additional file 6: Genes identified as putative A-, B- and C-domain genes. (XLS 326 KB)
DOI: 10.6084/m9.figshare.22618193.v1
title: Additional file 9 of Automated quantitative trait locus analysis (AutoQTL)

description: Additional file 9.
DOI: 10.6084/m9.figshare.10036625.v1
title: MOESM6 of Comparative transcriptomics among floral organs of the basal eudicot Eschscholzia californica as reference for floral evolutionary developmental studies

description: Additional file 6: Genes identified as putative A-, B- and C-domain genes. (XLS 326 KB)
DOI: 10.6084/m9.figshare.19996739
title: Grayscale, subjective color Doppler, combined grayscale with subjective color Doppler in predicting thyroid carcinoma: a retrospective analysis

description: Abstract Introduction: Fine needle aspiration cytology is preferred for thyroid nodules preoperatively, but has disadvantages of false-negative and false-positive results. Objective: To compare the diagnostic performance of grayscale ultrasound, subjective color Doppler ultrasound, and combined features of grayscale ultrasound and subjective color Doppler ultrasound in predicting thyroid carcinoma, using results of the fine needle aspiration cytology as the reference standard. Methods: Data from gray-scale ultrasound images, subjective color Doppler ultrasound images, and the fine needle aspiration cytology of 325 nodules of 250 patients (age ≥ 18 years) were collected and analyzed. Hypo-echogenicity than adjacent strap muscle, micro-lobulated or irregular margins, micro- or mixed calcifications, and taller-than-wide shapes were considered as a suspicious malignant nodule in grayscale ultrasound. Marked vascularity was considered as a suspicious malignant nodule in color Doppler ultrasound. The Bethesda system for classification of thyroid nodules was used for cytopathology. Results: With respect to the results of fine-needle aspiration cytology for detecting suspicious malignant nodules, for grayscale ultrasound, subjective color Doppler ultrasound, and combined gray-scale with subjective color Doppler ultrasound, sensitivities were 0.564, 0.600 and 0.691, respectively and accuracies were 0.926, 0.919 and 0.959, respectively. Suspicious malignant nodules detectability for grayscale ultrasound, subjective color Doppler ultrasound, and combined gray-scale with subjective color Doppler ultrasound were 0.09–0.56 diagnostic confidence, 0.08–0.61 diagnostic confidence, and 0.063–0.7 diagnostic confidence, respectively. Conclusion: The combined gray-scale with subjective color Doppler ultrasound-guided fine-needle aspiration biopsies are recommended for the diagnosis of thyroid carcinoma. Level of Evidence: III.
DOI: 10.6084/m9.figshare.22618181
title: Additional file 6 of Automated quantitative trait locus analysis (AutoQTL)

description: Additional file 6.
DOI: 10.6084/m9.figshare.12656702.v1
title: Metadata record for the manuscript: Characterization of four subtypes in morphologically normal tissue excised proximal and distal to breast cancer

description: <b>Summary</b>This metadata record provides details of the data supporting the claims of the related manuscript: “Characterization of four subtypes in morphologically normal tissue excised proximal and distal to breast cancer”.<br>The related study performed a comprehensive transcriptomic and proteomic analysis to characterize 57 fresh-frozen tissues from breast cancers and matched histologically normal tissues resected proximal to (&lt;2 cm) and distant from (5-10 cm) the primary tumor, using tissues from cosmetic reduction mammoplasties as baseline.<br><br><b>Data access</b>The transcriptomic and proteomic data have been deposited in the European Genotype-Phenotype Archive under the following accession number: https://identifiers.org/ega.study:EGAS00001004510. The transcriptomic findings are available for top-level analyses from Breast Cancer Now Tissue Bank (BCNTB) bioinformatics (http://bioinformatics.breastcancertissuebank.org). BCNTB bioinformatics will allow researchers to conduct exploratory, investigative and interpretative analyses on the pre-processed data.<br>Other data are included with this metadata record and are as follows:- <b>Supplementary Table 1.xlsx</b> - Clinical and pathological characteristics of the cohort- <b>Supplementary Table 2.xlsx</b> - PAM50 probability scores- <b>Supplementary Table 3.xlsx</b> - Gene classifier- <b>Supplementary Table 4.xlsx</b> - NCI pathways enriched and depleted in each subtype- <b>Supplementary Table 5.xlsx</b> - Non-coding RNAs defining the nc-enriched subtype- <b>Supplementary Table 6.xlsx</b> - Genes with prognostic potential in histologically normal tissues- <b>Supplementary Figures.docx</b> - PCA of the transcriptomic landscape; Molecular classification of proximal and distal samples; Differential expression analysis of tumor, and matched normal tissues; GO terms and pathways enriched in each spatial group; NMF consensus clustering of the samples; Testing the predictive capability of the transcriptomic subtypes
DOI: 10.6084/m9.figshare.19996739.v1
title: Grayscale, subjective color Doppler, combined grayscale with subjective color Doppler in predicting thyroid carcinoma: a retrospective analysis

description: Abstract Introduction: Fine needle aspiration cytology is preferred for thyroid nodules preoperatively, but has disadvantages of false-negative and false-positive results. Objective: To compare the diagnostic performance of grayscale ultrasound, subjective color Doppler ultrasound, and combined features of grayscale ultrasound and subjective color Doppler ultrasound in predicting thyroid carcinoma, using results of the fine needle aspiration cytology as the reference standard. Methods: Data from gray-scale ultrasound images, subjective color Doppler ultrasound images, and the fine needle aspiration cytology of 325 nodules of 250 patients (age ≥ 18 years) were collected and analyzed. Hypo-echogenicity than adjacent strap muscle, micro-lobulated or irregular margins, micro- or mixed calcifications, and taller-than-wide shapes were considered as a suspicious malignant nodule in grayscale ultrasound. Marked vascularity was considered as a suspicious malignant nodule in color Doppler ultrasound. The Bethesda system for classification of thyroid nodules was used for cytopathology. Results: With respect to the results of fine-needle aspiration cytology for detecting suspicious malignant nodules, for grayscale ultrasound, subjective color Doppler ultrasound, and combined gray-scale with subjective color Doppler ultrasound, sensitivities were 0.564, 0.600 and 0.691, respectively and accuracies were 0.926, 0.919 and 0.959, respectively. Suspicious malignant nodules detectability for grayscale ultrasound, subjective color Doppler ultrasound, and combined gray-scale with subjective color Doppler ultrasound were 0.09–0.56 diagnostic confidence, 0.08–0.61 diagnostic confidence, and 0.063–0.7 diagnostic confidence, respectively. Conclusion: The combined gray-scale with subjective color Doppler ultrasound-guided fine-needle aspiration biopsies are recommended for the diagnosis of thyroid carcinoma. Level of Evidence: III.
DOI: 10.6084/m9.figshare.22618181.v1
title: Additional file 6 of Automated quantitative trait locus analysis (AutoQTL)

description: Additional file 6.
DOI: 10.6084/m9.figshare.10036628
title: MOESM7 of Comparative transcriptomics among floral organs of the basal eudicot Eschscholzia californica as reference for floral evolutionary developmental studies

description: Additional file 7: Genes preferentially expressed in reproductive tissues compared with leaf. (XLS 312 KB)
DOI: 10.6084/m9.figshare.10036628.v1
title: MOESM7 of Comparative transcriptomics among floral organs of the basal eudicot Eschscholzia californica as reference for floral evolutionary developmental studies

description: Additional file 7: Genes preferentially expressed in reproductive tissues compared with leaf. (XLS 312 KB)
DOI: 10.6084/m9.figshare.22618175.v1
title: Additional file 4 of Automated quantitative trait locus analysis (AutoQTL)

description: Additional file 4.
DOI: 10.6084/m9.figshare.10036631
title: MOESM8 of Comparative transcriptomics among floral organs of the basal eudicot Eschscholzia californica as reference for floral evolutionary developmental studies

description: Additional file 8: Gene expression of different gene families. (XLS 50 KB)
DOI: 10.6084/m9.figshare.22618060
title: Additional file 4 of Comprehensive analysis of the laccase gene family in tea plant highlights its roles in development and stress responses

description: Additional file 4: Table S4. Primer pairs for 18 SSR markers and 45 tea plant samples used for SSR marker development.
DOI: 10.6084/m9.figshare.22618184
title: Additional file 7 of Automated quantitative trait locus analysis (AutoQTL)

description: Additional file 7.
DOI: 10.6084/m9.figshare.22618184.v1
title: Additional file 7 of Automated quantitative trait locus analysis (AutoQTL)

description: Additional file 7.
DOI: 10.6084/m9.figshare.10036631.v1
title: MOESM8 of Comparative transcriptomics among floral organs of the basal eudicot Eschscholzia californica as reference for floral evolutionary developmental studies

description: Additional file 8: Gene expression of different gene families. (XLS 50 KB)