cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh429553.07fu
title: SH429553.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.6084/m9.figshare.21520250
title: Additional file 2 of Mapping responsive genomic elements to heat stress in a maize diversity panel

description: Additional file 2: Supplementary tables and associated data (Data S1) of mapping responsive genomic elements to heat stress in a maize diversity panel. Table S1-S11 include additional associated results and Data S1 represents MOA-seq TF footprints of B73 detected in either control or heat conditions.
DOI: 10.6084/m9.figshare.21520250.v1
title: Additional file 2 of Mapping responsive genomic elements to heat stress in a maize diversity panel

description: Additional file 2: Supplementary tables and associated data (Data S1) of mapping responsive genomic elements to heat stress in a maize diversity panel. Table S1-S11 include additional associated results and Data S1 represents MOA-seq TF footprints of B73 detected in either control or heat conditions.
DOI: 10.6084/m9.figshare.21520260
title: Additional file 2 of Comprehensive transcriptional variability analysis reveals gene networks regulating seed oil content of Brassica napus

description: Additional file 2: Table S1. Genome-wide eQTLs identified at 20 DAF. Table S2. Genome-wide eQTLs identified at 40 DAF. Table S3. Genome-wide eGene-eQTLs identified at 20 DAF. Table S4. Genome-wide eGene-eQTLs identified at 40 DAF. Table S5. Results of GO enrichment analysis of specifically identified eGenes at 20 DAF. Table S6. Results of GO enrichment analysis of specifically identified eGenes at 40 DAF. Table S7. Summary of ATAC-Seq data. Table S8. List of homoeologous genes among subgenomes. Table S9. List of homoeologous genes on gene expression trend and regulation at 20 DAF. Table S10. List of homoeologous genes on gene expression trend and regulation at 40 DAF. Table S11. The information of hotspots at 20 DAF. Table S12. The information of hotspots at 40 DAF. Table S13. The list of TWAS significant genes of SOC and SGC at 20 DAF. Table S14. The list of TWAS significant genes of SOC and SGC at 40 DAF. Table S15. Enrichment analysis of eQTL hotspot regulatory genes in TWAS significant genes of SOC at 20 DAF. Table S16. Enrichment analysis of eQTL hotspot regulatory genes in TWAS significant genes of SOC at 40 DAF. Table S17. The results of Tomtom analysis of key sequences identified by Basenji module. Table S18. Primers for gene cloning and PCR confirmation.
DOI: 10.6084/m9.figshare.21520260.v1
title: Additional file 2 of Comprehensive transcriptional variability analysis reveals gene networks regulating seed oil content of Brassica napus

description: Additional file 2: Table S1. Genome-wide eQTLs identified at 20 DAF. Table S2. Genome-wide eQTLs identified at 40 DAF. Table S3. Genome-wide eGene-eQTLs identified at 20 DAF. Table S4. Genome-wide eGene-eQTLs identified at 40 DAF. Table S5. Results of GO enrichment analysis of specifically identified eGenes at 20 DAF. Table S6. Results of GO enrichment analysis of specifically identified eGenes at 40 DAF. Table S7. Summary of ATAC-Seq data. Table S8. List of homoeologous genes among subgenomes. Table S9. List of homoeologous genes on gene expression trend and regulation at 20 DAF. Table S10. List of homoeologous genes on gene expression trend and regulation at 40 DAF. Table S11. The information of hotspots at 20 DAF. Table S12. The information of hotspots at 40 DAF. Table S13. The list of TWAS significant genes of SOC and SGC at 20 DAF. Table S14. The list of TWAS significant genes of SOC and SGC at 40 DAF. Table S15. Enrichment analysis of eQTL hotspot regulatory genes in TWAS significant genes of SOC at 20 DAF. Table S16. Enrichment analysis of eQTL hotspot regulatory genes in TWAS significant genes of SOC at 40 DAF. Table S17. The results of Tomtom analysis of key sequences identified by Basenji module. Table S18. Primers for gene cloning and PCR confirmation.
DOI: 10.6084/m9.figshare.21520262
title: Additional file 1 of Physcomitrium patens CAD1 has distinct roles in growth and resistance to biotic stress

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.21520262.v1
title: Additional file 1 of Physcomitrium patens CAD1 has distinct roles in growth and resistance to biotic stress

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.21520265
title: Additional file 2 of Physcomitrium patens CAD1 has distinct roles in growth and resistance to biotic stress

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.21520265.v1
title: Additional file 2 of Physcomitrium patens CAD1 has distinct roles in growth and resistance to biotic stress

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.21520277
title: Additional file 5 of Physcomitrium patens CAD1 has distinct roles in growth and resistance to biotic stress

description: Supplementary Material 5
DOI: 10.6084/m9.figshare.21520277.v1
title: Additional file 5 of Physcomitrium patens CAD1 has distinct roles in growth and resistance to biotic stress

description: Supplementary Material 5
DOI: 10.6084/m9.figshare.21520286
title: Additional file 8 of Physcomitrium patens CAD1 has distinct roles in growth and resistance to biotic stress

description: Supplementary Material 8
DOI: 10.6084/m9.figshare.21520286.v1
title: Additional file 8 of Physcomitrium patens CAD1 has distinct roles in growth and resistance to biotic stress

description: Supplementary Material 8
DOI: 10.6084/m9.figshare.21520295
title: Additional file 2 of Network reconstruction for trans acting genetic loci using multi-omics data and prior information

description: Additional file 2 Supplementary tables, large supporting tables with table titles as tabs.
DOI: 10.6084/m9.figshare.21520295.v1
title: Additional file 2 of Network reconstruction for trans acting genetic loci using multi-omics data and prior information

description: Additional file 2 Supplementary tables, large supporting tables with table titles as tabs.
DOI: 10.6084/m9.figshare.21520293
title: Additional file 10 of Unlocking the molecular basis of wheat straw composition and morphological traits through multi-locus GWAS

description: Additional file 10: Supplementary Table 4. QTNs comparison with QTL identified in the literature.
DOI: 10.6084/m9.figshare.21520293.v1
title: Additional file 10 of Unlocking the molecular basis of wheat straw composition and morphological traits through multi-locus GWAS

description: Additional file 10: Supplementary Table 4. QTNs comparison with QTL identified in the literature.
DOI: 10.6084/m9.figshare.21520314
title: Additional file 7 of Unlocking the molecular basis of wheat straw composition and morphological traits through multi-locus GWAS

description: Additional file 7: Supplementary Table 1. BLUPs values for the traits under study.
DOI: 10.6084/m9.figshare.21520314.v1
title: Additional file 7 of Unlocking the molecular basis of wheat straw composition and morphological traits through multi-locus GWAS

description: Additional file 7: Supplementary Table 1. BLUPs values for the traits under study.
DOI: 10.34740/kaggle/dsv/4471728
title: Eurovision Winners 1956 - 2022
DOI: 10.15139/s3/sarzts
title: Data for A Report on the Academic Job Market in Gender, Women’s, Sexuality, Feminist and Queer Studies 2006-2018

description: This report shows that job opportunities in the field of gender, women’s, sexuality, feminist, and queer studies (GWSFQS) in the US, while fluctuating, grew strongly in the decade after the 2007-2009 recession. Growth in advertised GWSFQS jobs outpaced growth in advertised jobs in the traditional disciplines of English, history, and sociology over this period; it also outpaced growth in similar interdisciplinary fields. The data presented in this report complicate the conventional wisdom that GWSFQS nationally has experienced the same level of institutional disinvestment as its disciplinary counterparts. On the contrary, these data suggest that GWSFQS may be particularly well suited to some of the current scholarly and economic demands of US colleges and universities, where value is increasingly being placed on academic and pedagogical expertise that crosses traditional disciplinary lines. As interdisciplinarity becomes one of the valued coins of the realm in higher education and as joint positions are seen as more cost effective, faculty lines are being placed in long-standing but underfunded interdisciplinary units such as GWSFQS, and jobs that request GWSFQS credentials are being advertised in disciplines. While advertised positions are only one metric of institutional investment in a field, they are also one of the most important, as they are a powerful measure of ongoing long-term financial commitment to a program or department We offer the following data and analysis as a contribution to current conversations about GWSFQS in the corporatized US university and an invitation to others to collect data that will deepen our understanding of GWSFQS as an institutionalized field.
DOI: 10.5281/zenodo.7305283
title: PROCLIAS streamnetwork-assessment results of version v1.0

description: Results of the scripts from https://doi.org/10.5281/zenodo.7305251 as used in the PROCLIAS streamnetwork assessment report, avialable at https://proclias.eu under task group 1.2.
DOI: 10.5281/zenodo.7305282
title: PROCLIAS streamnetwork-assessment results of version v1.0

description: Results of the scripts from https://doi.org/10.5281/zenodo.7305251 as used in the PROCLIAS streamnetwork assessment report, avialable at https://proclias.eu under task group 1.2.
DOI: 10.5281/zenodo.7302783
title: WikiPathways Nanomaterials Portal

description: Archive of the WikiPathways Nanomaterials Portal on 8 November 2022. Includes PNG images and original GPML files.
description: {"references": ["Friederike Ehrhart, Penny Nymark, Pekka Kohonen, Georgia Tsiliki, Linda Rieswijk, Haralambos Sarimveis, Egon Willighagen. (2016). Deliverable Report D4.4 Mechanism-ofaction Modelling Tools. Zenodo. https://doi.org/10.5281/zenodo.375613"]}
DOI: 10.5281/zenodo.7302782
title: WikiPathways Nanomaterials Portal

description: Archive of the WikiPathways Nanomaterials Portal on 8 November 2022. Includes PNG images and original GPML files.
description: {"references": ["Friederike Ehrhart, Penny Nymark, Pekka Kohonen, Georgia Tsiliki, Linda Rieswijk, Haralambos Sarimveis, Egon Willighagen. (2016). Deliverable Report D4.4 Mechanism-ofaction Modelling Tools. Zenodo. https://doi.org/10.5281/zenodo.375613"]}
DOI: 10.6084/m9.figshare.14515404
title: Mushrooms of West Africa: their uses, distribution and potential for biodiversity conservation. A systematic review

description: <b>dataset consist of macrofungi of west Africa, their uses, distribtuions, sources,</b><br>
DOI: 10.5281/zenodo.7131283
title: Arctic Cyclones and Climate Change Cases A-C

description: Weather Research and Forecasting Model (v3.9.1.1) set up namelists and simulation output data used to analyze the effect of climate change on spring Arctic Cyclone characteristics for cyclone cases A-C. This dataset is made available to accompany the Nature Communications paper "<strong>The Influence of Recent and Future Climate Change on Spring Arctic Cyclones"</strong> by Parker et al. 2022 https://doi.org/10.1038/s41467-022-34126-7 . See associated Zenodo datasets for other Cyclone cases in this work: 10.5281/zenodo.7131287; 10.5281/zenodo.7126117.
description: This work was funded by NASA's Weather and Atmospheric Dynamics program, under Grant #80NSSC20K0922, NASA's Interdisciplinary Research in Earth Science program, under Grant #80NSSC21K0264, and European Union's Horizon 2020 research and innovation framework programme, under Grant agreement no. 101003590 (PolarRES)
DOI: 10.5281/zenodo.7131284
title: Arctic Cyclones and Climate Change Cases A-C

description: Weather Research and Forecasting Model (v3.9.1.1) set up namelists and simulation output data used to analyze the effect of climate change on spring Arctic Cyclone characteristics for cyclone cases A-C. This dataset is made available to accompany the Nature Communications paper "<strong>The Influence of Recent and Future Climate Change on Spring Arctic Cyclones"</strong> by Parker et al. 2022 https://doi.org/10.1038/s41467-022-34126-7 . See associated Zenodo datasets for other Cyclone cases in this work: 10.5281/zenodo.7131287; 10.5281/zenodo.7126117.
description: This work was funded by NASA's Weather and Atmospheric Dynamics program, under Grant #80NSSC20K0922, NASA's Interdisciplinary Research in Earth Science program, under Grant #80NSSC21K0264, and European Union's Horizon 2020 research and innovation framework programme, under Grant agreement no. 101003590 (PolarRES)
DOI: 10.5281/zenodo.7126116
title: Arctic Cyclones and Climate Change Cases G-I

description: Weather Research and Forecasting Model (v3.9.1.1) simulation output data used to analyze the effect of climate change on spring Arctic Cyclone characteristics for cyclone cases G-I. This dataset is made available to accompany the Nature Communications paper "<strong>The Influence of Recent and Future Climate Change on Spring Arctic Cyclones"</strong> by Parker et al. 2022 https://doi.org/10.1038/s41467-022-34126-7. See associated Zenodo datasets for other Cyclone cases in this work: 10.5281/zenodo.7131287; 10.5281/zenodo.7131284.
description: This work was funded by NASA's Weather and Atmospheric Dynamics program, under Grant #80NSSC20K0922, NASA's Interdisciplinary Research in Earth Science program, under Grant #80NSSC21K0264, and European Union's Horizon 2020 research and innovation framework programme, under Grant agreement no. 101003590 (PolarRES)
DOI: 10.5281/zenodo.7126117
title: Arctic Cyclones and Climate Change Cases G-I

description: Weather Research and Forecasting Model (v3.9.1.1) simulation output data used to analyze the effect of climate change on spring Arctic Cyclone characteristics for cyclone cases G-I. This dataset is made available to accompany the Nature Communications paper "<strong>The Influence of Recent and Future Climate Change on Spring Arctic Cyclones"</strong> by Parker et al. 2022 https://doi.org/10.1038/s41467-022-34126-7. See associated Zenodo datasets for other Cyclone cases in this work: 10.5281/zenodo.7131287; 10.5281/zenodo.7131284.
description: This work was funded by NASA's Weather and Atmospheric Dynamics program, under Grant #80NSSC20K0922, NASA's Interdisciplinary Research in Earth Science program, under Grant #80NSSC21K0264, and European Union's Horizon 2020 research and innovation framework programme, under Grant agreement no. 101003590 (PolarRES)
DOI: 10.5281/zenodo.7131286
title: Arctic Cyclones and Climate Change Cases D-F

description: Weather Research and Forecasting Model (v3.9.1.1) simulation output data used to analyze the effect of climate change on spring Arctic Cyclone characteristics for cyclone cases D-F. This dataset is made available to accompany the Nature Communications paper "<strong>The Influence of Recent and Future Climate Change on Spring Arctic Cyclones"</strong> by Parker et al. 2022 https://doi.org/10.1038/s41467-022-34126-7. See associated Zenodo datasets for other Cyclone cases in this work: 10.5281/zenodo.7131284; 10.5281/zenodo.7126117
description: This work was funded by NASA's Weather and Atmospheric Dynamics program, under Grant #80NSSC20K0922, NASA's Interdisciplinary Research in Earth Science program, under Grant #80NSSC21K0264, and European Union's Horizon 2020 research and innovation framework programme, under Grant agreement no. 101003590 (PolarRES)
DOI: 10.5281/zenodo.7131287
title: Arctic Cyclones and Climate Change Cases D-F

description: Weather Research and Forecasting Model (v3.9.1.1) simulation output data used to analyze the effect of climate change on spring Arctic Cyclone characteristics for cyclone cases D-F. This dataset is made available to accompany the Nature Communications paper "<strong>The Influence of Recent and Future Climate Change on Spring Arctic Cyclones"</strong> by Parker et al. 2022 https://doi.org/10.1038/s41467-022-34126-7. See associated Zenodo datasets for other Cyclone cases in this work: 10.5281/zenodo.7131284; 10.5281/zenodo.7126117
description: This work was funded by NASA's Weather and Atmospheric Dynamics program, under Grant #80NSSC20K0922, NASA's Interdisciplinary Research in Earth Science program, under Grant #80NSSC21K0264, and European Union's Horizon 2020 research and innovation framework programme, under Grant agreement no. 101003590 (PolarRES)
DOI: 10.5281/zenodo.6585953
title: PROGRESS IN COUPLING COMPUTATIONAL THERMODYNAMICS AND COMPUTATIONAL FLUID DYNAMICS TO SUPPORT MOLTEN SALT REACTOR APPLICATIONS (Revised)

description: This research was undertaken, in part, thanks to funding from the Canada Research Chairs program and the Discovery Grant Program of the Natural Sciences and Engineering Research Council of Canada. This study is in direct support of the SAMOSAFER project.
description: Updated info for the OpenFoam solver can be found in: https://github.com/nikolasscuro/icoReactingMultiphaseInterFoamT
DOI: 10.5281/zenodo.6585954
title: PROGRESS IN COUPLING COMPUTATIONAL THERMODYNAMICS AND COMPUTATIONAL FLUID DYNAMICS TO SUPPORT MOLTEN SALT REACTOR APPLICATIONS

description: Figures, raw data, OpenFOAM solver (<strong>https://github.com/nikolasscuro/icoReactingMultiphaseInterFoamT) </strong>and tutorial used in the study can be found. This material has been used for the G4SR4 Conference (https://www.g4sr.org/) This research was undertaken, in part, thanks to funding from the Canada Research Chairs program and the Discovery Grant Program of the Natural Sciences and Engineering Research Council of Canada. This study is in direct support of the SAMOSAFER project.
description: Updated info for the OpenFoam solver can be found in: https://github.com/nikolasscuro/icoReactingMultiphaseInterFoamT
DOI: 10.5281/zenodo.7305368
title: PROGRESS IN COUPLING COMPUTATIONAL THERMODYNAMICS AND COMPUTATIONAL FLUID DYNAMICS TO SUPPORT MOLTEN SALT REACTOR APPLICATIONS (Revised)

description: This research was undertaken, in part, thanks to funding from the Canada Research Chairs program and the Discovery Grant Program of the Natural Sciences and Engineering Research Council of Canada. This study is in direct support of the SAMOSAFER project.
description: Updated info for the OpenFoam solver can be found in: https://github.com/nikolasscuro/icoReactingMultiphaseInterFoamT
DOI: 10.5517/ccdc.csd.cc24sb6h
title: CCDC 1989586: Experimental Crystal Structure Determination

description: Related Article: Yang Chen, Shifa Zhu|2022|Org.Chem.Front.|9|6194|doi:10.1039/D2QO01324J
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.cc2998xt
title: CCDC 2124086: Experimental Crystal Structure Determination

description: Related Article: Bin He, Jingyuan Song, Congcong Yin, Gen-Qiang Chen, Xumu Zhang|2022|Org.Chem.Front.|9|6247|doi:10.1039/D2QO01121B
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.cc29l389
title: CCDC 2132560: Experimental Crystal Structure Determination

description: Related Article: Jinni Liu, Yongshuang Li, Na Liu, Nianyu Huang, Long Wang, Dongsheng Li|2022|Org.Chem.Front.|9|6179|doi:10.1039/D2QO01257J
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.cc29l4z1
title: CCDC 2132613: Experimental Crystal Structure Determination

description: Related Article: Jinni Liu, Yongshuang Li, Na Liu, Nianyu Huang, Long Wang, Dongsheng Li|2022|Org.Chem.Front.|9|6179|doi:10.1039/D2QO01257J
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.cc29yfnc
title: CCDC 2143453: Experimental Crystal Structure Determination

description: Related Article: Emmanouil Orfanos, Kalliopi Ladomenou, Panagiotis A. Angaridis, Theodoros Papadopoulos, Georgios Charalambidis, Maria Vasilopoulou, Athanassios G. Coutsolelos|2022|Sustainable Energy Fuels|6|5072|doi:10.1039/D2SE01105K
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.cc2bfnn3
title: CCDC 2158085: Experimental Crystal Structure Determination

description: Related Article: Yingying Zhang, Yating Huang, Kewei Yu, Xiaoxiang Zhang, Wenhua Yu, Jiale Tang, Yiran Tian, Wanxing Wei, Zhuan Zhang, Taoyuan Liang|2022|Org.Chem.Front.|9|6165|doi:10.1039/D2QO01329K
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.cc2bpgm4
title: CCDC 2165586: Experimental Crystal Structure Determination

description: Related Article: Zhicai Chen, Yu Zhang, Pu Wang, Jiaxin Yang, Kun Yang, Jianfeng Li, Jie Yang, Yongchun Li, Huanli Dong, Xugang Guo|2022|Chem.Commun.|58|12467|doi:10.1039/D2CC04922H
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.