cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc251ygn
title: CCDC 1997871: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, M.R.J. Elsegood|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc251yls
title: CCDC 1997875: Experimental Crystal Structure Determination

description: Related Article: Christopher F. Fronczek, Timsy Uppal, M. Graca H. Vicente, Frank R. Fronczek|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25321f
title: CCDC 1998943: Experimental Crystal Structure Determination

description: Related Article: Xurui Zhang, Yanxing Zhang, Qingqing Li, Xiaodong Zhou, Qingyu Li, Jin Yi, Yuyu Liu, Jiujun Zhang|2020|J.Mater.Chem.A|8|9776|doi:10.1039/D0TA00384K
DOI: 10.25318/3410028001-eng
title: Capital expenditures, infrastructure assets, by ownership

description: Capital expenditures on infrastructure assets according to the function, or purpose, of the spending. Public ownership includes the assets that are majority-owned by the governments in Canada (federal, provincial, territorial, regional and municipal). Annual data beginning from 2018.
DOI: 10.25318/3410028001-fra
title: Dépenses en immobilisations, infrastructures, selon le type de propriété

description: Dépenses en immobilisations pour les actifs d'infrastructure selon la function, ou l'objet, des dépenses. La propriété publique inclut les actifs qui sont majoritairement détenus par les gouvernements au Canada (fédéral, provinciaux, territoriaux, régionaux, et municipaux). Données annuelles à partir de 2018.
DOI: 10.6084/m9.figshare.16807775
title: Additional file 1 of Glutamine involvement in nitrogen regulation of cellulase production in fungi

description: Additional file 1: Table S1. The comparative transcriptome in T. reesei RUT-C30 cultured in TMM with/without the addition of glutamine.
DOI: 10.6084/m9.figshare.16807744
title: Additional file 2 of Impact of Helicobacter pylori eradication on the gastric microbiome

description: Additional file 2: Table S2. The LEfSe analysis of the FE and P groups.
DOI: 10.6084/m9.figshare.13662669.v1
title: Additional file 2 of Uncovering the genetic mechanisms regulating panicle architecture in rice with GPWAS and GWAS

description: Additional file 2: Table S1. The sample list and structure information of 406 accessions. Table S2. Significant genes detected using GPWAS and the phenotypes selected for each gene model. Table S3. The QTLs associated with TSNP, GNP, EGNP, PBN, PL, and PN with four different methods. Table S4. List of genes located in the LD block for TSNP, GNP, EGNP, PBN, PL, and PN. Table S5. Overlapped genes related to TSNP, GNP, EGNP, PBN, PN, and PL using GPWAS and GWAS methods. Table S6. Distribution of four haplotypes in subgroups. Table S7. Annotation of all SNPs located in the overlapped genes using SnpEff software. Table S8. Promoter elements anslysis of gene Os01g0140100.
DOI: 10.6084/m9.figshare.9993467
title: MOESM4 of Long noncoding RNA GAS5 inhibits progression of colorectal cancer by interacting with and triggering YAP phosphorylation and degradation and is negatively regulated by the m6A reader YTHDF3

description: Additional file 4: Supplementary raw dataÂ 1. Identification of YAP-associated lncRNAs via RNA-binding protein immunoprecipitation sequencing (RIP-seq) experiments.
DOI: 10.6084/m9.figshare.9993467.v1
title: MOESM4 of Long noncoding RNA GAS5 inhibits progression of colorectal cancer by interacting with and triggering YAP phosphorylation and degradation and is negatively regulated by the m6A reader YTHDF3

description: Additional file 4: Supplementary raw dataÂ 1. Identification of YAP-associated lncRNAs via RNA-binding protein immunoprecipitation sequencing (RIP-seq) experiments.
DOI: 10.6084/m9.figshare.9993473
title: MOESM5 of Long noncoding RNA GAS5 inhibits progression of colorectal cancer by interacting with and triggering YAP phosphorylation and degradation and is negatively regulated by the m6A reader YTHDF3

description: Additional file 5: Supplementary raw dataÂ 2. Analysis of lncRNA-seq-based differential expression after knockdown of YTHDF3.
DOI: 10.6084/m9.figshare.9993473.v1
title: MOESM5 of Long noncoding RNA GAS5 inhibits progression of colorectal cancer by interacting with and triggering YAP phosphorylation and degradation and is negatively regulated by the m6A reader YTHDF3

description: Additional file 5: Supplementary raw dataÂ 2. Analysis of lncRNA-seq-based differential expression after knockdown of YTHDF3.
DOI: 10.6084/m9.figshare.9993482
title: MOESM6 of Long noncoding RNA GAS5 inhibits progression of colorectal cancer by interacting with and triggering YAP phosphorylation and degradation and is negatively regulated by the m6A reader YTHDF3

description: Additional file 6: Supplementary raw dataÂ 3. Analysis of MeRIP-seq analysis combined with transcription sequencing to clarify the differential expression after knockdown of YTHDF3.
DOI: 10.6084/m9.figshare.9993482.v1
title: MOESM6 of Long noncoding RNA GAS5 inhibits progression of colorectal cancer by interacting with and triggering YAP phosphorylation and degradation and is negatively regulated by the m6A reader YTHDF3

description: Additional file 6: Supplementary raw dataÂ 3. Analysis of MeRIP-seq analysis combined with transcription sequencing to clarify the differential expression after knockdown of YTHDF3.
DOI: 10.6084/m9.figshare.6847772.v1
title: Additional file 4: of Molecular mechanism of estrogen-mediated neuroprotection in the relief of brain ischemic injury

description: The degrees of nodes in Modules. The excel describes the up/down-regulated status and degrees of nodes in modules a, b c and d. Module a consists of 7 up-regulated and 5 down-regulated genes, and the degrees of those nodes were ranged from 16 to 7. There were 3 up-regulated and 2 down-regulated genes in module b, and the degrees of nodes were ranged from 18 (Lep) to 4 (Fabp4). Additionally, two upregulated and two downregulated comprised of module c, in which the degrees of nodes were ranged from 15 to 8. In module d, the degrees of nodes were ranged from 19 (Th) to 3(Grik4). (XLSX 222 kb)
DOI: 10.6084/m9.figshare.9993605
title: MOESM2 of Genome-wide characterization and expression analysis of the HD-Zip gene family in response to drought and salinity stresses in sesame

description: Additional file 2. Table S1. HD-ZIP transcription factor gene family in sesame.
DOI: 10.6084/m9.figshare.9993605.v1
title: MOESM2 of Genome-wide characterization and expression analysis of the HD-Zip gene family in response to drought and salinity stresses in sesame

description: Additional file 2. Table S1. HD-ZIP transcription factor gene family in sesame.
DOI: 10.6084/m9.figshare.9993608
title: MOESM3 of Genome-wide characterization and expression analysis of the HD-Zip gene family in response to drought and salinity stresses in sesame

description: Additional file 3. Table S2. List of primers used for quantitative real-time RT-PCR analysis.
DOI: 10.6084/m9.figshare.9993608.v1
title: MOESM3 of Genome-wide characterization and expression analysis of the HD-Zip gene family in response to drought and salinity stresses in sesame

description: Additional file 3. Table S2. List of primers used for quantitative real-time RT-PCR analysis.
DOI: 10.6084/m9.figshare.9993611
title: MOESM10 of Identification of quantitative trait loci for kernel traits in a wheat cultivar Chuannong16

description: Additional file 10: Table S9. Genetic map of the 2CN mapping population.
DOI: 10.6084/m9.figshare.9993611.v1
title: MOESM10 of Identification of quantitative trait loci for kernel traits in a wheat cultivar Chuannong16

description: Additional file 10: Table S9. Genetic map of the 2CN mapping population.
DOI: 10.6084/m9.figshare.9993620
title: MOESM11 of Identification of quantitative trait loci for kernel traits in a wheat cultivar Chuannong16

description: Additional file 11: Table S10. Details of KASP markers.
DOI: 10.6084/m9.figshare.9993620.v1
title: MOESM11 of Identification of quantitative trait loci for kernel traits in a wheat cultivar Chuannong16

description: Additional file 11: Table S10. Details of KASP markers.
DOI: 10.6084/m9.figshare.9993638
title: MOESM2 of Identification of quantitative trait loci for kernel traits in a wheat cultivar Chuannong16

description: Additional file 2: Table S1. Correlation coefficients for kernel traits in different environments.
DOI: 10.6084/m9.figshare.9993638.v1
title: MOESM2 of Identification of quantitative trait loci for kernel traits in a wheat cultivar Chuannong16

description: Additional file 2: Table S1. Correlation coefficients for kernel traits in different environments.
DOI: 10.6084/m9.figshare.9993647
title: MOESM3 of Identification of quantitative trait loci for kernel traits in a wheat cultivar Chuannong16

description: Additional file 3: Table S2. Correlation coefficients among different kernel traits.
DOI: 10.6084/m9.figshare.9993647.v1
title: MOESM3 of Identification of quantitative trait loci for kernel traits in a wheat cultivar Chuannong16

description: Additional file 3: Table S2. Correlation coefficients among different kernel traits.
DOI: 10.6084/m9.figshare.9993650
title: MOESM4 of Identification of quantitative trait loci for kernel traits in a wheat cultivar Chuannong16

description: Additional file 4: Table S3. Correlation coefficients between agronomic traits and kernel traits in 2CN population.
DOI: 10.6084/m9.figshare.9993650.v1
title: MOESM4 of Identification of quantitative trait loci for kernel traits in a wheat cultivar Chuannong16

description: Additional file 4: Table S3. Correlation coefficients between agronomic traits and kernel traits in 2CN population.
DOI: 10.6084/m9.figshare.9993659
title: MOESM5 of Identification of quantitative trait loci for kernel traits in a wheat cultivar Chuannong16

description: Additional file 5: Table S4. Quantitative trait loci detected in the QTLâ Ă â environment interaction module.
DOI: 10.6084/m9.figshare.9993659.v1
title: MOESM5 of Identification of quantitative trait loci for kernel traits in a wheat cultivar Chuannong16

description: Additional file 5: Table S4. Quantitative trait loci detected in the QTLâ Ă â environment interaction module.
DOI: 10.6084/m9.figshare.9993662
title: MOESM6 of Identification of quantitative trait loci for kernel traits in a wheat cultivar Chuannong16

description: Additional file 6: Table S5. Comparison of QTL for kernel traits-related genes from different chromosomes identified in this study with those in previous studies.
DOI: 10.6084/m9.figshare.9993662.v1
title: MOESM6 of Identification of quantitative trait loci for kernel traits in a wheat cultivar Chuannong16

description: Additional file 6: Table S5. Comparison of QTL for kernel traits-related genes from different chromosomes identified in this study with those in previous studies.
DOI: 10.6084/m9.figshare.9993671
title: MOESM7 of Identification of quantitative trait loci for kernel traits in a wheat cultivar Chuannong16

description: Additional file 7: Table S6. Predicted genes in the interval of the QTL identified in this study.
DOI: 10.6084/m9.figshare.9993671.v1
title: MOESM7 of Identification of quantitative trait loci for kernel traits in a wheat cultivar Chuannong16

description: Additional file 7: Table S6. Predicted genes in the interval of the QTL identified in this study.
DOI: 10.6084/m9.figshare.9993680
title: MOESM8 of Identification of quantitative trait loci for kernel traits in a wheat cultivar Chuannong16

description: Additional file 8: Table S7. QTL mapping for plant height (PH), anthesis date (AD), and spikelet number per spike (SNS) on chromosome 2D.
DOI: 10.6084/m9.figshare.9993680.v1
title: MOESM8 of Identification of quantitative trait loci for kernel traits in a wheat cultivar Chuannong16

description: Additional file 8: Table S7. QTL mapping for plant height (PH), anthesis date (AD), and spikelet number per spike (SNS) on chromosome 2D.
DOI: 10.6084/m9.figshare.9993686
title: MOESM9 of Identification of quantitative trait loci for kernel traits in a wheat cultivar Chuannong16

description: Additional file 9: Table S8. Details of investigated traits in different environments.
DOI: 10.6084/m9.figshare.9993686.v1
title: MOESM9 of Identification of quantitative trait loci for kernel traits in a wheat cultivar Chuannong16

description: Additional file 9: Table S8. Details of investigated traits in different environments.
DOI: 10.6084/m9.figshare.13139423
title: Spike-specific circulating T follicular helper cell and cross-neutralizing antibody responses in recovered COVID-19 individuals

description: <b>Coronavirus Disease 2019 (COVID-19), an
emerging disease caused by infection with SARS-CoV-2</b><b><sup>1-3</sup></b><b>, </b><b>has spread worldwide and caused 21.2
million infections and 0.76 million deaths (as of August 15, 2020</b><b>)</b><b><sup>4</sup></b><b>.</b><b> </b><b>Symptoms
of COVID-19 are varied and can be asymptomatic, mild, moderate, and severe</b><b><sup>5,6</sup></b><b>. In the early phase of SARS-CoV-2 infection, T
and B cell counts are dramatically decreased</b><b><sup>7,8</sup></b><b>; however, IgM</b><b><sup>9-12</sup></b><b> and IgG</b><b><sup>13-15</sup></b><b> are detectable within 14 days after symptom
onset. In COVID-19 convalescents, spike-specific neutralizing antibodies (nAbs)
are variable</b><b><sup>3,16,17</sup></b><b>. To date, no specific drug or vaccine is
available for COVID-19. Clinical trials have shown that patients benefit from the
treatments with convalescent serum</b><b><sup>18,19</sup></b><b>. Nevertheless, antibody responses and
cross-reactivity with other coronaviruses in the COVID-19 convalescents are
largely unknown. Here we show that the majority of COVID-19 convalescents
maintained SARS-CoV-2 spike S1- and S2-specific antibodies with neutralizing
activity against the SARS-CoV-2 pseudotyped virus and that some of the antibodies
cross-neutralized SARS-CoV, MERS-CoV, or both pseudotyped viruses.
Convalescents who experienced severe COVID-19 disease showed higher nAb titers,
a faster increase of lymphocyte counts, and a higher frequency of CXCR3<sup>+</sup>
T follicular help (Tfh) cells than did non-severe convalescents. Circulating
Tfh cells were spike-specific and functional, and the frequencies of CXCR3<sup>+</sup>
Tfh cells were positively associated with nAb titers in recovered COVID-19
individuals. </b><b>No subjects
had </b><b>detectable autoantibodies</b><b>. These findings provide insights into nAb
responses in COVID-19 convalescents and facilitate the treatment and vaccine
development for SARS-CoV-2 infection.</b>
DOI: 10.5258/soton/d1254
title: Dataset supporting the publication "Phase Preserving Amplitude Saturation through Tone Synthesis Assisted Saturated Four-Wave Mixing"

description: This dataset is supporting the following publication:
K. R. H. Bottrill, N. Taengnoi, Y. Hong, D. J. Richardson and P. Petropoulos, "Phase Preserving Amplitude Saturation Through Tone Synthesis Assisted Saturated Four-Wave Mixing," in Journal of Lightwave Technology, vol. 38, no. 7, pp. 1817-1826, 1 April1, 2020, doi: 10.1109/JLT.2020.2973593. 

This data demonstrates the process where products of four-wave mixing are instead synthesised using spectral shaping of multicast replicas of the signal. This allows to emulate the advancement of four-wave mixing without incurring unwanted amplitude noise to phase noise conversion. The data demonstrates phase preserving amplitude squeezing of a 10 GBd QPSK signal using as a medium, a highly nonlinear fibre in which the traditional, single pump approach fails.

The data contains excel files for each figure within a directory of the same name. Data files are named after the Figure they correspond to and contain the data necessary to recreate the plots. Data for Fig-1 is not included, as Fig-1 contains only a schematic. Data for Fig-6 is not included in the dataset as they were obtained from screenshots.
DOI: 10.5517/ccdc.csd.cc295rpy
title: CCDC 2120700: Experimental Crystal Structure Determination

description: Related Article: Kai Li, Jun Ying, Tao Liu, Aixiang Tian, Xiuli Wang|2024|Dalton Trans.|53|2741|doi:10.1039/D3DT03415A
description: Related Article: Yingyu Li|2021|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.cc2c0sz5
title: CCDC 2175517: Experimental Crystal Structure Determination

description: Related Article: Urszula K. Komarnicka, Sandra Kozie, Barbara Pucelik, Agata Barzowska, Miosz Siczek, Magdalena Malik, Daria Wojtala, Alessandro Niorettini, Agnieszka Kyzio, Victor Sebastian, Pavel Kopel, Stefano Caramori, Alina Bieńko|2022|Inorg.Chem.|61|19261|doi:10.1021/acs.inorgchem.2c03015
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.12090984
title: Genome-wide identification and characterisation of long non-coding RNAs in two Chinese cattle breeds

description: Long non-coding RNAs (lncRNAs) have been essentially involved in all kinds of important biological processes, such as cell differentiation and development. In this study, we comprehensively profiled genome-wide lncRNAs of bovine skeletal muscle in two Chinese cattle breeds using RNA-seq approach. The longissimus dorsi samples were collected from three Charolais (CH) and three Tongjiang (TJ) adult cattle, respectively. Approximately 80 million reads were obtained per library, and by which we assembled 31,009 unique transcripts. We successfully identified a total of 4155 different lncRNAs in six muscle samples, consisting of 3204 intronic lncRNAs, 737 intergenic lncRNAs, 113 sense lncRNAs and 101 antisense lncRNAs. Among them, 32 lncRNAs were differentially expressed (Fold Change &gt;1.0, FDR &lt; 0.05) between CH and TJ. Among these lncRNAs, 1744 identified bovine lncRNAs were located adjacent to 1146 protein-coding genes (&lt;100 kb upstream and downstream) and functionally enriched in organ development, gene regulation and signal transduction. Our results provide a catalogue of bovine skeletal muscle-related lncRNAs, which will complement the list of bovine lncRNAs and contribute to understanding of the molecular mechanism of underpinning muscle development in cattle.HighlightsThe first study to compare specialised beef cattle breed with Chinese local beef cattle breed on long non-coding RNA (lncRNA).The 4155 different lncRNAs in beef cattle genome were identified to complement the list of bovine lncRNAs.The 1146 protein-coding genes were found maybe in cis-regulatory relationships with lncRNAs to understand the molecular mechanism underpinning muscle development in cattle.
 The first study to compare specialised beef cattle breed with Chinese local beef cattle breed on long non-coding RNA (lncRNA). The 4155 different lncRNAs in beef cattle genome were identified to complement the list of bovine lncRNAs. The 1146 protein-coding genes were found maybe in cis-regulatory relationships with lncRNAs to understand the molecular mechanism underpinning muscle development in cattle.
DOI: 10.5517/ccdc.csd.cc2dpbm2
title: CCDC 2225044: Experimental Crystal Structure Determination

description: Related Article: Chloë Bonnenfant, Nahir Vadra, Mathieu Rouzières, Rodolphe Clérac, Fabio D. Cukiernik, Pablo Alborés|2024|Dalton Trans.|53|2815|doi:10.1039/D3DT03656A
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.cc2dpbp4
title: CCDC 2225046: Experimental Crystal Structure Determination

description: Related Article: Chloë Bonnenfant, Nahir Vadra, Mathieu Rouzières, Rodolphe Clérac, Fabio D. Cukiernik, Pablo Alborés|2024|Dalton Trans.|53|2815|doi:10.1039/D3DT03656A
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.cc2dpbq5
title: CCDC 2225047: Experimental Crystal Structure Determination

description: Related Article: Chloë Bonnenfant, Nahir Vadra, Mathieu Rouzières, Rodolphe Clérac, Fabio D. Cukiernik, Pablo Alborés|2024|Dalton Trans.|53|2815|doi:10.1039/D3DT03656A
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.cc2dy20g
title: CCDC 2232465: Experimental Crystal Structure Determination

description: Related Article: Kai Li, Jun Ying, Tao Liu, Aixiang Tian, Xiuli Wang|2024|Dalton Trans.|53|2741|doi:10.1039/D3DT03415A
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.cc2g8grz
title: CCDC 2272261: Experimental Crystal Structure Determination

description: Related Article: Zilma Pereira Muneeswaran, Baran Teoman, Yu Wang, Haroon Chaudhry, Tatiana V. Brinzari, Gaurav Verma, Lomaani Ranasinghe, Kylie Ryan Kaler, Xiaoyi Huang, Xing He, Belvin Thomas, Shiyou Xu, Chi-Yuan Cheng, Jeffrey M. Boyd, Dailin Chen, Zhigang Hao, Shengqian Ma, Tewodros Asefa, Long Pan, Viktor Dubovoy|2024|Dalton Trans.|53|2670|doi:10.1039/D3DT02559D
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.cc2gl4cl
title: CCDC 2281549: Experimental Crystal Structure Determination

description: Related Article: Guo-Jun Yuan, Xue-Wei Pan, Li Chen, Chao Chen, Xiao-Ming Ren|2024|Dalton Trans.|53|2687|doi:10.1039/D3DT03838F
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.cc2gl4fn
title: CCDC 2281551: Experimental Crystal Structure Determination

description: Related Article: Guo-Jun Yuan, Xue-Wei Pan, Li Chen, Chao Chen, Xiao-Ming Ren|2024|Dalton Trans.|53|2687|doi:10.1039/D3DT03838F
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.