cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2bjwxp
title: CCDC 2161193: Experimental Crystal Structure Determination

description: Related Article: Jin-Yao Yong, Mi Li, Wen-Rui Li, Rong-Mei Gao, Guo-Zhu Su, Hai-Qiang Wang, Jia Yang, Li Li, Yu-Huan Li, Peter Scott, Ru-Bing Wang, Xiao-Jing Wang, Shuang-Gang Ma|2022|Bioorg.Chem.|131|106324|doi:10.1016/j.bioorg.2022.106324
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.cc2bjwyq
title: CCDC 2161194: Experimental Crystal Structure Determination

description: Related Article: Jin-Yao Yong, Mi Li, Wen-Rui Li, Rong-Mei Gao, Guo-Zhu Su, Hai-Qiang Wang, Jia Yang, Li Li, Yu-Huan Li, Peter Scott, Ru-Bing Wang, Xiao-Jing Wang, Shuang-Gang Ma|2022|Bioorg.Chem.|131|106324|doi:10.1016/j.bioorg.2022.106324
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.cc2bjx0t
title: CCDC 2161196: Experimental Crystal Structure Determination

description: Related Article: Jin-Yao Yong, Mi Li, Wen-Rui Li, Rong-Mei Gao, Guo-Zhu Su, Hai-Qiang Wang, Jia Yang, Li Li, Yu-Huan Li, Peter Scott, Ru-Bing Wang, Xiao-Jing Wang, Shuang-Gang Ma|2022|Bioorg.Chem.|131|106324|doi:10.1016/j.bioorg.2022.106324
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.7493280
title: Supplementary file

description: Table S1 and 2
DOI: 10.5281/zenodo.7493279
title: Supplementary file

description: Table S1 and 2
DOI: 10.5281/zenodo.7040273
title: Supporting data: phase-contrast virtual chest radiography

description: This dataset contains supporting data for the publication below: Ilian Häggmark, Kian Shaker, Sven Nyrén, Bariq Al-Amiry, Ehsan Abadi, William P. Segars, Ehsan Samei, and Hans M. Hertz, "Phase-contrast virtual chest radiography<em>"</em>, <em>Proceedings of the National Academy of Sciences </em><strong>120</strong><em> </em>(1), e2210214120 (2023). https://doi.org/10.1073/pnas.2210214120 If you use this dataset for your work, <strong>please cite this publication.</strong> ------------------------------------- <strong>1. Virtual patient (2D) </strong> An upsampled and projected virtual patient derived from the XCAT model (see paper for more details). The projected thickness (unit: [m]) of 28 separate materials are stored in the mat-file <em>'virtual_patient.mat'</em>. The accompanying text file <em>'virtual_patient_materials.txt' </em>lists all 28 materials (3rd dimension in the virtual patient .mat file) . Data information: File type: .mat Size: 39200x52200x28 (3D matrix, single, 32-bit) Pixel size: 7.69x7.69 µm<sup>2</sup> ------------------------------------- <strong>2. Full-chest virtual radiographs</strong> Three full-size virtual chest radiographs of the virtual patient (above) simulated with different settings: Conventional (<em>z</em> = 0 m, 120 kVp tungsten spectrum) Control (<em>z</em> = 0 m, 60 keV monochromatic) Phase contrast (<em>z</em> = 12 m, 60 keV monochromatic) Data information: File type: .tif (16-bit) Data size: 8000x6000 pixels Pixel size: 50x50 µm<sup>2</sup> ------------------------------------- <strong>3. Zoom in on chest radiographs at different propagation distances</strong> This is the underlying data for <strong>Figure 2</strong> in the paper. Data information: File type: .tif (16-bit) Data size: 600x600 pixels Pixel size: 50x50 µm<sup>2</sup> ------------------------------------- <strong>4. Observing airway wall thickening</strong> This is the underlying data for<strong> Figure 5</strong> in the paper. Data information: File type: .tif (16-bit) Data size: 750x750 pixels Pixel size: 50x50 µm<sup>2</sup>
DOI: 10.5281/zenodo.7030749
title: Supporting data: phase-contrast virtual chest radiography

description: This dataset contains supporting data for the publication below: Ilian Häggmark, Kian Shaker, Sven Nyrén, Bariq Al-Amiry, Ehsan Abadi, William P. Segars, Ehsan Samei, and Hans M. Hertz, "Phase-contrast virtual chest radiography<em>"</em>, <em>Proceedings of the National Academy of Sciences </em><strong>120</strong><em> </em>(1), e2210214120 (2023). https://doi.org/10.1073/pnas.2210214120 If you use this dataset for your work, <strong>please cite this publication.</strong> ------------------------------------- <strong>1. Virtual patient (2D) </strong> An upsampled and projected virtual patient derived from the XCAT model (see paper for more details). The projected thickness (unit: [m]) of 28 separate materials are stored in the mat-file <em>'virtual_patient.mat'</em>. The accompanying text file <em>'virtual_patient_materials.txt' </em>lists all 28 materials (3rd dimension in the virtual patient .mat file) . Data information: File type: .mat Size: 39200x52200x28 (3D matrix, single, 32-bit) Pixel size: 7.69x7.69 µm<sup>2</sup> ------------------------------------- <strong>2. Full-chest virtual radiographs</strong> Three full-size virtual chest radiographs of the virtual patient (above) simulated with different settings: Conventional (<em>z</em> = 0 m, 120 kVp tungsten spectrum) Control (<em>z</em> = 0 m, 60 keV monochromatic) Phase contrast (<em>z</em> = 12 m, 60 keV monochromatic) Data information: File type: .tif (16-bit) Data size: 8000x6000 pixels Pixel size: 50x50 µm<sup>2</sup> ------------------------------------- <strong>3. Zoom in on chest radiographs at different propagation distances</strong> This is the underlying data for <strong>Figure 2</strong> in the paper. Data information: File type: .tif (16-bit) Data size: 600x600 pixels Pixel size: 50x50 µm<sup>2</sup> ------------------------------------- <strong>4. Observing airway wall thickening</strong> This is the underlying data for<strong> Figure 5</strong> in the paper. Data information: File type: .tif (16-bit) Data size: 750x750 pixels Pixel size: 50x50 µm<sup>2</sup>
DOI: 10.5281/zenodo.6846915
title: Predicting and modeling protein-protein interactions in E. coli envelopome

description: Structural models and Supplementary data described in the reference: Deep learning-driven insights into super protein complexes for outer membrane protein biogenesis in bacteria. Mu Gao, Davi Nakajima An, and Jeffrey Skolnick<em>. eLife</em>, 2022. <strong>11</strong>: p. e82885. List of files: af2c_fea_220331.tar -- A tarball of input features of full E coli proteome to AF2Complex version 1.3.0. Feature files are pickled and gzipped, which AF2Complex v1.3 takes as input directly. Results of an application to E coli envelopome on four query proteins from the outer membrane biogenesis pathway. Supplementary Data.xlsx -- Virtual PPI screening results of PpiD, YfgM, SurA, and BamA. screening_top1_models.zip -- Compressed top 1 dimeric models of top hits from the PPI screening. Note that these models are unrelaxed. predicted structural models.zip -- Compressed structural models of supercomplexes formed in the OMP biogenesis pathway described in the reference.
DOI: 10.5281/zenodo.6846914
title: Predicting and modeling protein-protein interactions in E. coli envelopome

description: Structural models and Supplementary data described in the reference: Deep learning-driven insights into super protein complexes for outer membrane protein biogenesis in bacteria. Mu Gao, Davi Nakajima An, and Jeffrey Skolnick<em>. eLife</em>, 2022. <strong>11</strong>: p. e82885. List of files: af2c_fea_220331.tar -- A tarball of input features of full E coli proteome to AF2Complex version 1.3.0. Feature files are pickled and gzipped, which AF2Complex v1.3 takes as input directly. Results of an application to E coli envelopome on four query proteins from the outer membrane biogenesis pathway. Supplementary Data.xlsx -- Virtual PPI screening results of PpiD, YfgM, SurA, and BamA. screening_top1_models.zip -- Compressed top 1 dimeric models of top hits from the PPI screening. Note that these models are unrelaxed. predicted structural models.zip -- Compressed structural models of supercomplexes formed in the OMP biogenesis pathway described in the reference.
DOI: 10.6084/m9.figshare.21791633
title: Grades 3-5 dataset for Elementary Article Data Repository.sav

description: This dataset goes to the elementary reading intervention efficacy study "Using Readable English Leads to Reading Gains for Rural Elementary Students: An Experimental Study."
DOI: 10.3886/e183723
title: Technological change in finance and induced effects on welfare inequality

description: This paper assesses the impact of access to bank financial services and digital finance on household welfare inequality. We use Finscope Consumer data (2016) and Togo's Living Standards Measurement Study (2018). The analysis uses the propensity score matching method, the double difference, and the smooth instrumental quantile regression as an estimation method. The results indicate that access to digital finance and bank financial services improves expenditures and reduces household welfare inequality.
DOI: 10.3886/e183723v1
title: Technological change in finance and induced effects on welfare inequality

description: This paper assesses the impact of access to bank financial services and digital finance on household welfare inequality. We use Finscope Consumer data (2016) and Togo's Living Standards Measurement Study (2018). The analysis uses the propensity score matching method, the double difference, and the smooth instrumental quantile regression as an estimation method. The results indicate that access to digital finance and bank financial services improves expenditures and reduces household welfare inequality.
DOI: 10.6084/m9.figshare.21791753
title: Supplemental Table 2

description: Total number of reads (pairs and single reads post-merge) at each step in the quality control pipeline.
DOI: 10.6084/m9.figshare.21791753.v1
title: Supplemental Table 2

description: Total number of reads (pairs and single reads post-merge) at each step in the quality control pipeline.
DOI: 10.34740/kaggle/dsv/4787610
title: BBC News
DOI: 10.6084/m9.figshare.21637937
title: Functional & Structural Similarities

description: This file contains strucural and functional similarity predictions reported in Mahlich <em>et al.</em>, Rethinking bacterial relationships in light of their molecular abilities. <em>bioRxiv</em> 2022.11.28.518265.
DOI: 10.6084/m9.figshare.21637937.v1
title: Functional & Structural Similarities

description: This file contains strucural and functional similarity predictions reported in (tbd)
DOI: 10.6084/m9.figshare.21637937.v2
title: Functional & Structural Similarities

description: This file contains strucural and functional similarity predictions reported in Mahlich <em>et al.</em>, Rethinking bacterial relationships in light of their molecular abilities. <em>bioRxiv</em> 2022.11.28.518265.
DOI: 10.6084/m9.figshare.21791843
title: Pasteurella_spp_cgMLST_scheme_v1.zip

description: chewBBACA-generated first version of a cgMLST scheme for <em>Pasteurella multocida </em>and related Pasteurella sp., based on 681 markers. Folder contains the gene list, sequences and other files to directly use it with chewBBACA version 2.8.5.
DOI: 10.6084/m9.figshare.21789827
title: data.rar

description: The data were downloaded from publicly available data sources, Among these, 448 species (154 social and 294 nonsocial species) were considered for life-history data (gestation, lactation, and interbirth intervals), and 64 species (47 social species, 17 monogamous species) were studied for male tenure.
DOI: 10.6084/m9.figshare.21789827.v1
title: data.rar

description: The data were downloaded from publicly available data sources, Among these, 448 species (154 social and 294 nonsocial species) were considered for life-history data (gestation, lactation, and interbirth intervals), and 64 species (47 social species, 17 monogamous species) were studied for male tenure.
DOI: 10.34740/kaggle/dsv/4787673
title: OntoUML/UFO Catalog
DOI: 10.6084/m9.figshare.21789668
title: Supplementary Table S1-S12.xlsx

description: Supplementary Tables which also include data set for Figures 4 and 5.
DOI: 10.6084/m9.figshare.21789668.v2
title: Supplementary Table S1-S12.xlsx

description: Supplementary Tables which also include data set for Figures 4 and 5.
DOI: 10.6084/m9.figshare.21789668.v1
title: Supplementary Table S1-S12.xlsx

description: Supplementary Tables which also include data set for Figures 4 and 5.
DOI: 10.6084/m9.figshare.21791888
title: Raw data for review and publication.zip

description: Raw data for review and publication
DOI: 10.6084/m9.figshare.21791888.v1
title: Raw data for review and publication.zip

description: Raw data for review and publication
DOI: 10.34740/kaggle/dsv/4787798
title: 💥📰 Daily Breaking News Twitter Dataset
DOI: 10.34740/kaggle/dsv/4787803
title: 🇺🇦 Ukraine Conflict Twitter Dataset
DOI: 10.5281/zenodo.7493497
title: Matriz de resultados del acoplamiento molecular en VP4 de RVA

description: Se presentan las energías de unión en kcal/mol obtenidas como resultado del acoplamiento molecular entre los compuestos del subconjunto de ZINC aprobado por FDA y los P-tipos P[4], P[6] y P[8] de RVA como receptores. El acoplamiento molecular se realizó en el programa AutoDock Vina en el marco de la búsqueda de candidatos a antivirales contra VP4 de RVA mediante cribado virtual.
DOI: 10.5281/zenodo.7493496
title: Matriz de resultados del acoplamiento molecular en VP4 de RVA

description: Se presentan las energías de unión en kcal/mol obtenidas como resultado del acoplamiento molecular entre los compuestos del subconjunto de ZINC aprobado por FDA y los P-tipos P[4], P[6] y P[8] de RVA como receptores. El acoplamiento molecular se realizó en el programa AutoDock Vina en el marco de la búsqueda de candidatos a antivirales contra VP4 de RVA mediante cribado virtual.
DOI: 10.6084/m9.figshare.21791885
title: Data.xlsx

description: The clinical characteristics and laboratory findings of Omicron infection in elderly patients in Shanghai, China
DOI: 10.6084/m9.figshare.21791885.v1
title: Data.xlsx

description: The clinical characteristics and laboratory findings of Omicron infection in elderly patients in Shanghai, China
DOI: 10.6084/m9.figshare.21791876
title: Template Query SPARQL.docx

description: Ini adalah templat kueri SPARQL yang digunakan sebagai dasar pengambilan informasi dari OWL berdasarkan jenis soal yang akan dibangkitkan.
DOI: 10.6084/m9.figshare.21791876.v1
title: Template Query SPARQL.docx

description: Ini adalah templat kueri SPARQL yang digunakan sebagai dasar pengambilan informasi dari OWL berdasarkan jenis soal yang akan dibangkitkan.
DOI: 10.6084/m9.figshare.21791909
title: dengue

description: Ung dung ROC trong y hoc
DOI: 10.5517/ccdc.csd.cc2c4w1g
title: CCDC 2179425: Experimental Crystal Structure Determination

description: Related Article: Andrey V. Marchenko, Valery A. Ozeryanskii, Oleg P. Demidov, Alexander S. Antonov, Elena Yu. Tupikina, Alexander F. Pozharskii|2022|J.Org.Chem.|87|16506|doi:10.1021/acs.joc.2c02212
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.cc2c4w2h
title: CCDC 2179426: Experimental Crystal Structure Determination

description: Related Article: Andrey V. Marchenko, Valery A. Ozeryanskii, Oleg P. Demidov, Alexander S. Antonov, Elena Yu. Tupikina, Alexander F. Pozharskii|2022|J.Org.Chem.|87|16506|doi:10.1021/acs.joc.2c02212
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.cc2c4w3j
title: CCDC 2179427: Experimental Crystal Structure Determination

description: Related Article: Andrey V. Marchenko, Valery A. Ozeryanskii, Oleg P. Demidov, Alexander S. Antonov, Elena Yu. Tupikina, Alexander F. Pozharskii|2022|J.Org.Chem.|87|16506|doi:10.1021/acs.joc.2c02212
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: 10.26036/cnp0002962
title: UMSC-EVs 三代及二代转录组测序数据

description: UMSC外泌体和微囊泡的三代及二代转录组测序数据
DOI: 10.6084/m9.figshare.21731315.v3
title: Open_3DSIM_DATA

description: This is the data of Open_3DSIM platform. 1. The data(<strong>*.dv or *.tif file</strong>) is provided singly to facilitate users to download. 2. The <strong>Parameters.zip</strong> is parmeters, and OTF the total raw data. 3. The <strong>Comparison.zip</strong> is the comparison between different reconstructions for referrence. 4. The Install_Fiji_Screenshot.mp4 is for the install guide for Fiji version <br>
DOI: 10.6084/m9.figshare.21731315.v4
title: Open_3DSIM_DATA

description: This is the data of Open_3DSIM platform. 1. The data(<strong>*.dv or *.tif file</strong>) is provided singly to facilitate users to download. 2. The <strong>Parameters.zip</strong> is parmeters, and OTF the total raw data. 3. The <strong>Comparison.zip</strong> is the comparison between different reconstructions for referrence. 4. The Install_Fiji_Screenshot.mp4 is for the install guide for Fiji version <br>
DOI: 10.6084/m9.figshare.21781634.v1
title: original data

description: <strong>Background: </strong>Pancreatic adenocarcinoma (PAAD) is a highly lethal disease with a poor prognosis. Increasing evidence indicates that immunophenotyping can reveal the combined immune status of the tumor, which is closely related to treatment response and patient prognosis. Therefore, in this study, a comprehensive analysis of the potential prognostic values of immune-related genes in PAAD was performed. <strong>Methods: </strong>The data of PAAD patients were obtained from TCGA and GEO databases. Immune cell infiltration (ICI) analysis was conducted using the CIBERSORT algorithm. ICI classification was then performed with the ConsensusClusterPlus package based on the CIBERSORT results. Immune-related differentially expressed genes (DEGs), which were screened from the ICI subtypes, were applied to identify the prognosis-related feature genes in PAAD. Further univariate Cox regression analysis, least absolute shrinkage and selection operator (LASSO) regression and multivariate Cox regression analysis were performed to determine the hub genes. ROC curves, survival analysis and a nomogram were used to assess the risk score model constructed with hub genes. The biological functions of the hub genes were annotated via GSEA. Furthermore, the correlation between the expression of hub genes and the infiltration of macrophages and CD8+ T cells was assessed via immunohistochemistry (IHC) in 19 PAAD samples. <strong>Results: </strong>Analyses of the TCGA and GEO databases revealed that both KRT7 and ITGB6 were strongly linked to a worse prognosis in PAAD. Then, KRT7 and ITGB6 were used to stratify the PAAD patients into low- and high-risk subgroups. The high-risk group had a poorer prognosis and less immune cell infiltration than the low-risk group. GSEA showed that ITGB6 and KRT7 were mainly enriched in the P53 signaling, cadherin binding and NF-κB binding pathways. Furthermore, KRT7 and ITGB6 expression was correlated with the infiltration of macrophages and CD8+ T cells in the TME, which was verified by IHC analysis. <strong>Conclusion:</strong> Both KRT7 and ITGB6 are promising biomarkers of PAAD prognosis.
DOI: 10.6084/m9.figshare.21792182
title: Dataset of MOOCs on Green Energy

description: Dataset I Bibliometric Scopus Data on Green Energy and Online Education Dataset II Green Energy MOOCs Dataset III Discipline of Green Energy MOOCs Dataset IV Topics of Green Energy MOOCs Dataset V Reviews of Green Energy MOOCs
DOI: 10.5517/ccdc.csd.cc2c4w4k
title: CCDC 2179428: Experimental Crystal Structure Determination

description: Related Article: Andrey V. Marchenko, Valery A. Ozeryanskii, Oleg P. Demidov, Alexander S. Antonov, Elena Yu. Tupikina, Alexander F. Pozharskii|2022|J.Org.Chem.|87|16506|doi:10.1021/acs.joc.2c02212
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.cc2c4w5l
title: CCDC 2179429: Experimental Crystal Structure Determination

description: Related Article: Andrey V. Marchenko, Valery A. Ozeryanskii, Oleg P. Demidov, Alexander S. Antonov, Elena Yu. Tupikina, Alexander F. Pozharskii|2022|J.Org.Chem.|87|16506|doi:10.1021/acs.joc.2c02212
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.cc2c4w6m
title: CCDC 2179430: Experimental Crystal Structure Determination

description: Related Article: Andrey V. Marchenko, Valery A. Ozeryanskii, Oleg P. Demidov, Alexander S. Antonov, Elena Yu. Tupikina, Alexander F. Pozharskii|2022|J.Org.Chem.|87|16506|doi:10.1021/acs.joc.2c02212
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.cc2c4w7n
title: CCDC 2179431: Experimental Crystal Structure Determination

description: Related Article: Andrey V. Marchenko, Valery A. Ozeryanskii, Oleg P. Demidov, Alexander S. Antonov, Elena Yu. Tupikina, Alexander F. Pozharskii|2022|J.Org.Chem.|87|16506|doi:10.1021/acs.joc.2c02212
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.