cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5063/f1348htr
title: Fumigant activity and transcriptomic analysis of Pogostemon cablin essential oils against the tea green leafhopper, Empoasca onukii Matsuda

description: This data set represents the transcriptome data of the Empoasca onukii Matsuda after being treated with Pogostemon cablin essential oil at LC50 for 12h. Table 1 shows the chemical composition analysis of Cinnamomum camphora essential oil. Tables S2 to S8 represent transcriptome data, including P-values, Expressions, log2FoldChange, and other information of 2309 differentially expressed genes in the control and treatment groups. The differentially expressed genes include information related to detoxification, antioxidant activity, and stress response. It also includes information such as annotations, counts, and FPKM values for all genes. Table S9 represents the raw data from Figures 1 to 4 and Table 4 in the text.Table S1. Chemical composition of C. camphora essential oil.Table S2. A set of 2309 differentially expressed genes (DEGs) between the P. cablin TM and CK groups.Table S3. Differentially expressed genes related to detoxification among differential genes. Table S4. Differentially expressed genes related to redox and stress resistance.Table S5. All genes counts_annoTable S6. All genes FPKM_annoTable S7. All genes annotationTable S8. TM-vs-CK-all.geneTable S9. Figure1-4 and Table 4 raw data.
DOI: 10.5281/zenodo.8285106
title: WIA-SZZ: Work Item Aware SZZ - Cloned Repository Files (1/7)

description: For replication purposes, a copy of the cloned repositories from Rosa et. al, ICSE 2021, Evaluating SZZ implementations through a developer-informed oracle (downloaded as of to Dec. 2022), used in our evaluation and analysis for our WIA-SZZ: Work Item Aware SZZ paper, is provided through 7 Zenodo links. A script to download and unzip them together is provided as well. 1. https://zenodo.org/deposit/8285106 doi: 10.5281/zenodo.8285106<br> 2. https://zenodo.org/deposit/8285119 doi: 10.5281/zenodo.8285119<br> 3. https://zenodo.org/deposit/8285121 doi: 10.5281/zenodo.8285121<br> 4. https://zenodo.org/deposit/8285125 doi: 10.5281/zenodo.8285125<br> 5. https://zenodo.org/deposit/8285127 doi: 10.5281/zenodo.8285127<br> 6. https://zenodo.org/deposit/8285138 doi: 10.5281/zenodo.8285138<br> 7. https://zenodo.org/deposit/8285140 doi: 10.5281/zenodo.8285140
DOI: 10.5281/zenodo.8285105
title: WIA-SZZ: Work Item Aware SZZ - Cloned Repository Files (1/7)

description: For replication purposes, a copy of the cloned repositories from Rosa et. al, ICSE 2021, Evaluating SZZ implementations through a developer-informed oracle (downloaded as of to Dec. 2022), used in our evaluation and analysis for our WIA-SZZ: Work Item Aware SZZ paper, is provided through 7 Zenodo links. A script to download and unzip them together is provided as well. 1. https://zenodo.org/deposit/8285106 doi: 10.5281/zenodo.8285106<br> 2. https://zenodo.org/deposit/8285119 doi: 10.5281/zenodo.8285119<br> 3. https://zenodo.org/deposit/8285121 doi: 10.5281/zenodo.8285121<br> 4. https://zenodo.org/deposit/8285125 doi: 10.5281/zenodo.8285125<br> 5. https://zenodo.org/deposit/8285127 doi: 10.5281/zenodo.8285127<br> 6. https://zenodo.org/deposit/8285138 doi: 10.5281/zenodo.8285138<br> 7. https://zenodo.org/deposit/8285140 doi: 10.5281/zenodo.8285140
DOI: 10.5281/zenodo.8285121
title: WIA-SZZ: Work Item Aware SZZ - Cloned Repository Files (3/7)

description: For replication purposes, these 7 Zenodo records contain a copy of the cloned repositories from Rosa et. al, ICSE 2021, Evaluating SZZ implementations through a developer-informed oracle, downloaded as of to Dec. 2022. These repositories were used for the evaluation and analysis of our paper WIA-SZZ: Work Item Aware SZZ. A script to download and unzip all files in these Zenodo records is provided as well. 1. https://zenodo.org/record/8285106 (doi: 10.5281/zenodo.8285106)<br> 2. https://zenodo.org/record/8285119 (doi: 10.5281/zenodo.8285119)<br> 3. https://zenodo.org/record/8285121 (doi: 10.5281/zenodo.8285121)<br> 4. https://zenodo.org/record/8285125 (doi: 10.5281/zenodo.8285125)<br> 5. https://zenodo.org/record/8285127 (doi: 10.5281/zenodo.8285127)<br> 6. https://zenodo.org/record/8285138 (doi: 10.5281/zenodo.8285138)<br> 7. https://zenodo.org/record/8285140 (doi: 10.5281/zenodo.8285140)
DOI: 10.5281/zenodo.8285120
title: WIA-SZZ: Work Item Aware SZZ - Cloned Repository Files (3/7)

description: For replication purposes, these 7 Zenodo records contain a copy of the cloned repositories from Rosa et. al, ICSE 2021, Evaluating SZZ implementations through a developer-informed oracle, downloaded as of to Dec. 2022. These repositories were used for the evaluation and analysis of our paper WIA-SZZ: Work Item Aware SZZ. A script to download and unzip all files in these Zenodo records is provided as well. 1. https://zenodo.org/record/8285106 (doi: 10.5281/zenodo.8285106)<br> 2. https://zenodo.org/record/8285119 (doi: 10.5281/zenodo.8285119)<br> 3. https://zenodo.org/record/8285121 (doi: 10.5281/zenodo.8285121)<br> 4. https://zenodo.org/record/8285125 (doi: 10.5281/zenodo.8285125)<br> 5. https://zenodo.org/record/8285127 (doi: 10.5281/zenodo.8285127)<br> 6. https://zenodo.org/record/8285138 (doi: 10.5281/zenodo.8285138)<br> 7. https://zenodo.org/record/8285140 (doi: 10.5281/zenodo.8285140)
DOI: 10.5281/zenodo.8285140
title: WIA-SZZ: Work Item Aware SZZ - Cloned Repository Files (7/7)

description: For replication purposes, these 7 Zenodo records contain a copy of the cloned repositories from Rosa et. al, ICSE 2021, Evaluating SZZ implementations through a developer-informed oracle, downloaded as of to Dec. 2022. These repositories were used for the evaluation and analysis of our paper WIA-SZZ: Work Item Aware SZZ. A script to download and unzip all files in these Zenodo records is provided as well. 1. https://zenodo.org/record/8285106 (doi: 10.5281/zenodo.8285106)<br> 2. https://zenodo.org/record/8285119 (doi: 10.5281/zenodo.8285119)<br> 3. https://zenodo.org/record/8285121 (doi: 10.5281/zenodo.8285121)<br> 4. https://zenodo.org/record/8285125 (doi: 10.5281/zenodo.8285125)<br> 5. https://zenodo.org/record/8285127 (doi: 10.5281/zenodo.8285127)<br> 6. https://zenodo.org/record/8285138 (doi: 10.5281/zenodo.8285138)<br> 7. https://zenodo.org/record/8285140 (doi: 10.5281/zenodo.8285140)
DOI: 10.5281/zenodo.8285139
title: WIA-SZZ: Work Item Aware SZZ - Cloned Repository Files (7/7)

description: For replication purposes, these 7 Zenodo records contain a copy of the cloned repositories from Rosa et. al, ICSE 2021, Evaluating SZZ implementations through a developer-informed oracle, downloaded as of to Dec. 2022. These repositories were used for the evaluation and analysis of our paper WIA-SZZ: Work Item Aware SZZ. A script to download and unzip all files in these Zenodo records is provided as well. 1. https://zenodo.org/record/8285106 (doi: 10.5281/zenodo.8285106)<br> 2. https://zenodo.org/record/8285119 (doi: 10.5281/zenodo.8285119)<br> 3. https://zenodo.org/record/8285121 (doi: 10.5281/zenodo.8285121)<br> 4. https://zenodo.org/record/8285125 (doi: 10.5281/zenodo.8285125)<br> 5. https://zenodo.org/record/8285127 (doi: 10.5281/zenodo.8285127)<br> 6. https://zenodo.org/record/8285138 (doi: 10.5281/zenodo.8285138)<br> 7. https://zenodo.org/record/8285140 (doi: 10.5281/zenodo.8285140)
DOI: 10.5281/zenodo.8285119
title: WIA-SZZ: Work Item Aware SZZ - Cloned Repository Files (2/7)

description: For replication purposes, these 7 Zenodo records contain a copy of the cloned repositories from Rosa et. al, ICSE 2021, Evaluating SZZ implementations through a developer-informed oracle, downloaded as of to Dec. 2022. These repositories were used for the evaluation and analysis of our paper WIA-SZZ: Work Item Aware SZZ. A script to download and unzip all files in these Zenodo records is provided as well. 1. https://zenodo.org/record/8285106 (doi: 10.5281/zenodo.8285106)<br> 2. https://zenodo.org/record/8285119 (doi: 10.5281/zenodo.8285119)<br> 3. https://zenodo.org/record/8285121 (doi: 10.5281/zenodo.8285121)<br> 4. https://zenodo.org/record/8285125 (doi: 10.5281/zenodo.8285125)<br> 5. https://zenodo.org/record/8285127 (doi: 10.5281/zenodo.8285127)<br> 6. https://zenodo.org/record/8285138 (doi: 10.5281/zenodo.8285138)<br> 7. https://zenodo.org/record/8285140 (doi: 10.5281/zenodo.8285140)
DOI: 10.5281/zenodo.8285118
title: WIA-SZZ: Work Item Aware SZZ - Cloned Repository Files (2/7)

description: For replication purposes, these 7 Zenodo records contain a copy of the cloned repositories from Rosa et. al, ICSE 2021, Evaluating SZZ implementations through a developer-informed oracle, downloaded as of to Dec. 2022. These repositories were used for the evaluation and analysis of our paper WIA-SZZ: Work Item Aware SZZ. A script to download and unzip all files in these Zenodo records is provided as well. 1. https://zenodo.org/record/8285106 (doi: 10.5281/zenodo.8285106)<br> 2. https://zenodo.org/record/8285119 (doi: 10.5281/zenodo.8285119)<br> 3. https://zenodo.org/record/8285121 (doi: 10.5281/zenodo.8285121)<br> 4. https://zenodo.org/record/8285125 (doi: 10.5281/zenodo.8285125)<br> 5. https://zenodo.org/record/8285127 (doi: 10.5281/zenodo.8285127)<br> 6. https://zenodo.org/record/8285138 (doi: 10.5281/zenodo.8285138)<br> 7. https://zenodo.org/record/8285140 (doi: 10.5281/zenodo.8285140)
DOI: 10.5281/zenodo.8285127
title: WIA-SZZ: Work Item Aware SZZ - Cloned Repository Files (5/7)

description: For replication purposes, these 7 Zenodo records contain a copy of the cloned repositories from Rosa et. al, ICSE 2021, Evaluating SZZ implementations through a developer-informed oracle, downloaded as of to Dec. 2022. These repositories were used for the evaluation and analysis of our paper WIA-SZZ: Work Item Aware SZZ. A script to download and unzip all files in these Zenodo records is provided as well. 1. https://zenodo.org/record/8285106 (doi: 10.5281/zenodo.8285106)<br> 2. https://zenodo.org/record/8285119 (doi: 10.5281/zenodo.8285119)<br> 3. https://zenodo.org/record/8285121 (doi: 10.5281/zenodo.8285121)<br> 4. https://zenodo.org/record/8285125 (doi: 10.5281/zenodo.8285125)<br> 5. https://zenodo.org/record/8285127 (doi: 10.5281/zenodo.8285127)<br> 6. https://zenodo.org/record/8285138 (doi: 10.5281/zenodo.8285138)<br> 7. https://zenodo.org/record/8285140 (doi: 10.5281/zenodo.8285140)
DOI: 10.5281/zenodo.8285126
title: WIA-SZZ: Work Item Aware SZZ - Cloned Repository Files (5/7)

description: For replication purposes, these 7 Zenodo records contain a copy of the cloned repositories from Rosa et. al, ICSE 2021, Evaluating SZZ implementations through a developer-informed oracle, downloaded as of to Dec. 2022. These repositories were used for the evaluation and analysis of our paper WIA-SZZ: Work Item Aware SZZ. A script to download and unzip all files in these Zenodo records is provided as well. 1. https://zenodo.org/record/8285106 (doi: 10.5281/zenodo.8285106)<br> 2. https://zenodo.org/record/8285119 (doi: 10.5281/zenodo.8285119)<br> 3. https://zenodo.org/record/8285121 (doi: 10.5281/zenodo.8285121)<br> 4. https://zenodo.org/record/8285125 (doi: 10.5281/zenodo.8285125)<br> 5. https://zenodo.org/record/8285127 (doi: 10.5281/zenodo.8285127)<br> 6. https://zenodo.org/record/8285138 (doi: 10.5281/zenodo.8285138)<br> 7. https://zenodo.org/record/8285140 (doi: 10.5281/zenodo.8285140)
DOI: 10.5281/zenodo.6262066
title: Legacy seismic data fo the 1928 Parral, Mexico earthquake (M6.3)

description: This data set is part of the 01/11/1928 Parral, Mexico earthquake (M6.3) Includes records from the 1928 National Seismological Service SSN) network, recorded on Wiechert seismographs smoked paper, as well as records from the California network Caltech archive.
description: {"references": ["P\u00e9rez-Campos, X., Armend\u00e1riz-S\u00e1nchez, S., Esp\u00edndola, V. H., Castro-Escamilla, M., Perez, J., Casiano, L. M., \u2026 C\u00e1rdenas, A. (2020). Preservation and reuse of historical seismic data in Mexico: SisMOmex SISMOMex and the online \"National seismogram library.\" Seismological Research Letters, 91(3), 1482\u20131487. https://doi.org/10.1785/0220190340"]}
DOI: 10.57841/casdc.0001993
title: 界面闪温对ZDDP反应膜生成特性的研究
DOI: 10.6084/m9.figshare.24054129
title: QC report of RNA-Seq data

description: RNA-Seq QC data for Joni White's PhD thesis.
DOI: 10.6084/m9.figshare.24053886
title: data

description: data
DOI: 10.6084/m9.figshare.24053886.v1
title: data

description: data
DOI: 10.57841/casdc.0001994
title: 钛合金表面DLC薄膜的制备及其与不同材料配副的摩擦学性能研究
DOI: 10.5281/zenodo.7820818
title: MS-BioGraphs MS50

description: https://blogs.qub.ac.uk/DIPSA/MS-BioGraphs/ Name MS-BioGraphs – MS50 URL https://blogs.qub.ac.uk/DIPSA/MS-BioGraphs-MS50 Graph Explanation Vertices represent proteins and each edge represents the sequence similarity between its two endpoints Edge Weighted Yes Directed No Number of Vertices 585,603,088 Number of Edges 124,783,559,600 Maximum Degree 507,826 Minimum Weight 900 Maximum Weight 634,925 Number of Zero-Degree Vertices 0 Average Degree 213.1 Size of The Largest WCC 102,256,631,195 Number of WCC 155,295,301 Creation Details MS-BioGraphs: Sequency Similarity Graph Datasets Format WebGraph License CC BY-NC-SA QUB IDF 2223-052 DOI 10.5281/zenodo.7820819 Citation <pre> Koohi Esfahani, Mohsen, Boldi, Paolo, Vandierendonck, Hans, Kilpatrick, Peter, Vigna,Sebastiano. (2023). MS-BioGraphs - MS50. https://doi.org/10.5281/zenodo.7820819. http://blogs.qub.ac.uk/DIPSA/MS-BioGraphs-MS50.</pre> Bibtex <pre> @misc{MS-BioGraphs-MS50, year = {2023}, author = {Mohsen Koohi Esfahani and Paolo Boldi and Hans Vandierendonck and Peter Kilpatrick and Sebastiano Vigna}, title = {{MS-BioGraphs - MS50}}, doi = {10.5281/zenodo.7820819}, url = {http://blogs.qub.ac.uk/DIPSA/MS-BioGraphs-MS50}, howpublished= {\url{http://blogs.qub.ac.uk/DIPSA/MS-BioGraphs-MS50}}}</pre>
DOI: 10.5281/zenodo.7820819
title: MS-BioGraphs MS50

description: https://blogs.qub.ac.uk/DIPSA/MS-BioGraphs/ Name MS-BioGraphs – MS50 URL https://blogs.qub.ac.uk/DIPSA/MS-BioGraphs-MS50 Graph Explanation Vertices represent proteins and each edge represents the sequence similarity between its two endpoints Edge Weighted Yes Directed No Number of Vertices 585,603,088 Number of Edges 124,783,559,600 Maximum Degree 507,826 Minimum Weight 900 Maximum Weight 634,925 Number of Zero-Degree Vertices 0 Average Degree 213.1 Size of The Largest WCC 102,256,631,195 Number of WCC 155,295,301 Creation Details MS-BioGraphs: Sequency Similarity Graph Datasets Format WebGraph License CC BY-NC-SA QUB IDF 2223-052 DOI 10.5281/zenodo.7820819 Citation <pre> Koohi Esfahani, Mohsen, Boldi, Paolo, Vandierendonck, Hans, Kilpatrick, Peter, Vigna,Sebastiano. (2023). MS-BioGraphs - MS50. https://doi.org/10.5281/zenodo.7820819. http://blogs.qub.ac.uk/DIPSA/MS-BioGraphs-MS50.</pre> Bibtex <pre> @misc{MS-BioGraphs-MS50, year = {2023}, author = {Mohsen Koohi Esfahani and Paolo Boldi and Hans Vandierendonck and Peter Kilpatrick and Sebastiano Vigna}, title = {{MS-BioGraphs - MS50}}, doi = {10.5281/zenodo.7820819}, url = {http://blogs.qub.ac.uk/DIPSA/MS-BioGraphs-MS50}, howpublished= {\url{http://blogs.qub.ac.uk/DIPSA/MS-BioGraphs-MS50}}}</pre>
DOI: 10.5281/zenodo.7820820
title: MS-BioGraphs MSA50

description: https://blogs.qub.ac.uk/DIPSA/MS-BioGraphs/ Name MS-BioGraphs – MSA50 URL https://blogs.qub.ac.uk/DIPSA/MS-BioGraphs-MSA50 Graph Explanation Vertices represent proteins and each edge represents the sequence similarity between its two endpoints Edge Weighted Yes Directed Yes Number of Vertices 1,757,323,526 Number of Edges 125,312,536,732 Maximum In-Degree 543,117 Maximum Out-Degree 297,981 Minimum Weight 98 Maximum Weight 634,925 Number of Zero In-Degree Vertices 6,437,984 Number of Zero Out-Degree Vertices 8,542,018 Average In-Degree 71.6 Average Out-Degree 71.7 Size of The Largest Weakly Connected Component 117,980,151,055 Number of Weakly Connected Components 363,090,851 Creation Details MS-BioGraphs: Sequency Similarity Graph Datasets Format WebGraph License CC BY-NC-SA QUB IDF 2223-052 DOI 10.5281/zenodo.7820821 Citation <pre> Koohi Esfahani, Mohsen, Boldi, Paolo, Vandierendonck, Hans, Kilpatrick, Peter, Vigna,Sebastiano. (2023). MS-BioGraphs - MSA50. https://doi.org/10.5281/zenodo.7820821. http://blogs.qub.ac.uk/DIPSA/MS-BioGraphs-MSA50.</pre> Bibtex <pre> @misc{MS-BioGraphs-MSA50, year = {2023}, author = {Mohsen Koohi Esfahani and Paolo Boldi and Hans Vandierendonck and Peter Kilpatrick and Sebastiano Vigna}, title = {{MS-BioGraphs - MSA50}}, doi = {10.5281/zenodo.7820821}, url = {http://blogs.qub.ac.uk/DIPSA/MS-BioGraphs-MSA50}, howpublished= {\url{http://blogs.qub.ac.uk/DIPSA/MS-BioGraphs-MSA50}}}</pre>
DOI: 10.5281/zenodo.7820821
title: MS-BioGraphs MSA50

description: https://blogs.qub.ac.uk/DIPSA/MS-BioGraphs/ Name MS-BioGraphs – MSA50 URL https://blogs.qub.ac.uk/DIPSA/MS-BioGraphs-MSA50 Graph Explanation Vertices represent proteins and each edge represents the sequence similarity between its two endpoints Edge Weighted Yes Directed Yes Number of Vertices 1,757,323,526 Number of Edges 125,312,536,732 Maximum In-Degree 543,117 Maximum Out-Degree 297,981 Minimum Weight 98 Maximum Weight 634,925 Number of Zero In-Degree Vertices 6,437,984 Number of Zero Out-Degree Vertices 8,542,018 Average In-Degree 71.6 Average Out-Degree 71.7 Size of The Largest Weakly Connected Component 117,980,151,055 Number of Weakly Connected Components 363,090,851 Creation Details MS-BioGraphs: Sequency Similarity Graph Datasets Format WebGraph License CC BY-NC-SA QUB IDF 2223-052 DOI 10.5281/zenodo.7820821 Citation <pre> Koohi Esfahani, Mohsen, Boldi, Paolo, Vandierendonck, Hans, Kilpatrick, Peter, Vigna,Sebastiano. (2023). MS-BioGraphs - MSA50. https://doi.org/10.5281/zenodo.7820821. http://blogs.qub.ac.uk/DIPSA/MS-BioGraphs-MSA50.</pre> Bibtex <pre> @misc{MS-BioGraphs-MSA50, year = {2023}, author = {Mohsen Koohi Esfahani and Paolo Boldi and Hans Vandierendonck and Peter Kilpatrick and Sebastiano Vigna}, title = {{MS-BioGraphs - MSA50}}, doi = {10.5281/zenodo.7820821}, url = {http://blogs.qub.ac.uk/DIPSA/MS-BioGraphs-MSA50}, howpublished= {\url{http://blogs.qub.ac.uk/DIPSA/MS-BioGraphs-MSA50}}}</pre>
DOI: 10.5281/zenodo.7820811
title: MS-BioGraphs MS200

description: https://blogs.qub.ac.uk/DIPSA/MS-BioGraphs/ Name MS-BioGraphs – MS200 URL https://blogs.qub.ac.uk/DIPSA/MS-BioGraphs-MS200 Graph Explanation Vertices represent proteins and each edge represents the sequence similarity between its two endpoints Edge Weighted Yes Directed No Number of Vertices 1,414,493,449 Number of Edges 502,930,788,612 Maximum Degree 745,735 Minimum Weight 460 Maximum Weight 634,925 Number of Zero-Degree Vertices 0 Average Degree 355.6 Size of The Largest WCC 485,867,547,569 Number of WCC 338,348,495 Creation Details MS-BioGraphs: Sequency Similarity Graph Datasets Format WebGraph License CC BY-NC-SA QUB IDF 2223-052 DOI 10.5281/zenodo.7820812 Citation <pre> Koohi Esfahani, Mohsen, Boldi, Paolo, Vandierendonck, Hans, Kilpatrick, Peter, Vigna,Sebastiano. (2023). MS-BioGraphs - MS200. https://doi.org/10.5281/zenodo.7820812. http://blogs.qub.ac.uk/DIPSA/MS-BioGraphs-MS200.</pre> Bibtex <pre> @misc{MS-BioGraphs-MS200, year = {2023}, author = {Mohsen Koohi Esfahani and Paolo Boldi and Hans Vandierendonck and Peter Kilpatrick and Sebastiano Vigna}, title = {{MS-BioGraphs - MS200}}, doi = {10.5281/zenodo.7820812}, url = {http://blogs.qub.ac.uk/DIPSA/MS-BioGraphs-MS200}, howpublished= {\url{http://blogs.qub.ac.uk/DIPSA/MS-BioGraphs-MS200}}}</pre>
DOI: 10.5281/zenodo.7820812
title: MS-BioGraphs MS200

description: https://blogs.qub.ac.uk/DIPSA/MS-BioGraphs/ Name MS-BioGraphs – MS200 URL https://blogs.qub.ac.uk/DIPSA/MS-BioGraphs-MS200 Graph Explanation Vertices represent proteins and each edge represents the sequence similarity between its two endpoints Edge Weighted Yes Directed No Number of Vertices 1,414,493,449 Number of Edges 502,930,788,612 Maximum Degree 745,735 Minimum Weight 460 Maximum Weight 634,925 Number of Zero-Degree Vertices 0 Average Degree 355.6 Size of The Largest WCC 485,867,547,569 Number of WCC 338,348,495 Creation Details MS-BioGraphs: Sequency Similarity Graph Datasets Format WebGraph License CC BY-NC-SA QUB IDF 2223-052 DOI 10.5281/zenodo.7820812 Citation <pre> Koohi Esfahani, Mohsen, Boldi, Paolo, Vandierendonck, Hans, Kilpatrick, Peter, Vigna,Sebastiano. (2023). MS-BioGraphs - MS200. https://doi.org/10.5281/zenodo.7820812. http://blogs.qub.ac.uk/DIPSA/MS-BioGraphs-MS200.</pre> Bibtex <pre> @misc{MS-BioGraphs-MS200, year = {2023}, author = {Mohsen Koohi Esfahani and Paolo Boldi and Hans Vandierendonck and Peter Kilpatrick and Sebastiano Vigna}, title = {{MS-BioGraphs - MS200}}, doi = {10.5281/zenodo.7820812}, url = {http://blogs.qub.ac.uk/DIPSA/MS-BioGraphs-MS200}, howpublished= {\url{http://blogs.qub.ac.uk/DIPSA/MS-BioGraphs-MS200}}}</pre>
DOI: 10.5281/zenodo.7820814
title: MS-BioGraphs MSA200

description: https://blogs.qub.ac.uk/DIPSA/MS-BioGraphs/ Name MS-BioGraphs – MSA200 URL https://blogs.qub.ac.uk/DIPSA/MS-BioGraphs-MSA200 Graph Explanation Vertices represent proteins and each edge represents the sequence similarity between its two endpoints Edge Weighted Yes Directed Yes Number of Vertices 1,757,323,526 Number of Edges 500,444,322,597 Maximum In-Degree 658,879 Maximum Out-Degree 709,176 Minimum Weight 98 Maximum Weight 634,925 Number of Zero In-Degree Vertices 6,437,984 Number of Zero Out-Degree Vertices 7,471,315 Average In-Degree 285.8 Average Out-Degree 286.0 Size of The Largest Weakly Connected Component 496,880,685,957 Number of Weakly Connected Components 221,467,156 Creation Details MS-BioGraphs: Sequency Similarity Graph Datasets Format WebGraph License CC BY-NC-SA QUB IDF 2223-052 DOI 10.5281/zenodo.7820815 Citation <pre> Koohi Esfahani, Mohsen, Boldi, Paolo, Vandierendonck, Hans, Kilpatrick, Peter, Vigna,Sebastiano. (2023). MS-BioGraphs - MSA200. https://doi.org/10.5281/zenodo.7820815. http://blogs.qub.ac.uk/DIPSA/MS-BioGraphs-MSA200.</pre> Bibtex <pre> @misc{MS-BioGraphs-MSA200, year = {2023}, author = {Mohsen Koohi Esfahani and Paolo Boldi and Hans Vandierendonck and Peter Kilpatrick and Sebastiano Vigna}, title = {{MS-BioGraphs - MSA200}}, doi = {10.5281/zenodo.7820815}, url = {http://blogs.qub.ac.uk/DIPSA/MS-BioGraphs-MSA200}, howpublished= {\url{http://blogs.qub.ac.uk/DIPSA/MS-BioGraphs-MSA200}}}</pre>
DOI: 10.5281/zenodo.7820815
title: MS-BioGraphs MSA200

description: https://blogs.qub.ac.uk/DIPSA/MS-BioGraphs/ Name MS-BioGraphs – MSA200 URL https://blogs.qub.ac.uk/DIPSA/MS-BioGraphs-MSA200 Graph Explanation Vertices represent proteins and each edge represents the sequence similarity between its two endpoints Edge Weighted Yes Directed Yes Number of Vertices 1,757,323,526 Number of Edges 500,444,322,597 Maximum In-Degree 658,879 Maximum Out-Degree 709,176 Minimum Weight 98 Maximum Weight 634,925 Number of Zero In-Degree Vertices 6,437,984 Number of Zero Out-Degree Vertices 7,471,315 Average In-Degree 285.8 Average Out-Degree 286.0 Size of The Largest Weakly Connected Component 496,880,685,957 Number of Weakly Connected Components 221,467,156 Creation Details MS-BioGraphs: Sequency Similarity Graph Datasets Format WebGraph License CC BY-NC-SA QUB IDF 2223-052 DOI 10.5281/zenodo.7820815 Citation <pre> Koohi Esfahani, Mohsen, Boldi, Paolo, Vandierendonck, Hans, Kilpatrick, Peter, Vigna,Sebastiano. (2023). MS-BioGraphs - MSA200. https://doi.org/10.5281/zenodo.7820815. http://blogs.qub.ac.uk/DIPSA/MS-BioGraphs-MSA200.</pre> Bibtex <pre> @misc{MS-BioGraphs-MSA200, year = {2023}, author = {Mohsen Koohi Esfahani and Paolo Boldi and Hans Vandierendonck and Peter Kilpatrick and Sebastiano Vigna}, title = {{MS-BioGraphs - MSA200}}, doi = {10.5281/zenodo.7820815}, url = {http://blogs.qub.ac.uk/DIPSA/MS-BioGraphs-MSA200}, howpublished= {\url{http://blogs.qub.ac.uk/DIPSA/MS-BioGraphs-MSA200}}}</pre>