cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/wwannc
title: Birds of Loharghat Forest Range, Assam

description: This study aims to establish a baseline database of avifaunal assemblages from the Loharghat Forest Range in Kamrup District, Assam, which includes the Mayang Reserved Forest and Barduar Reserved Forest. The forest is protected and managed by the local community. The surveys were conducted between August 2021 to June 2023. The study revealed the occurrence of a total of 224 avian species belonging to 20 orders and 58 families.
DOI: 10.6084/m9.figshare.26390815.v38
title: 2024/2025 Paul University, Awka - Anambra State Post UTME/Admission form Is Out call 07065086538 DR ANITA,for more details on how to purchase and register online. The Management of the school hereby inform the general public on the sales of the Admission form. And also the sales of direct entry form, pgd, masters and diploma Programme. contact the school Admin. Dr ANITA on 07065086538 for more details on how to purchase the form and also for complaint about admission process…

description: 2024/2025 Paul University, Awka - Anambra State Post UTME/Admission form Is Out call 07065086538 DR ANITA,for more details on how to purchase and register online. The Management of the school hereby inform the general public on the sales of the Admission form. And also the sales of direct entry form, pgd, masters and diploma Programme. contact the school Admin. Dr ANITA on 07065086538 for more details on how to purchase the form and also for complaint about admission process…
DOI: 10.6084/m9.figshare.26390815.v39
title: 2024/2025 Redeemer's University, Ede Post UTME/Admission form Is Out call 07065086538 DR ANITA,for more details on how to purchase and register online. The Management of the school hereby inform the general public on the sales of the Admission form. And also the sales of direct entry form, pgd, masters and diploma Programme. contact the school Admin. Dr ANITA on 07065086538 for more details on how to purchase the form and also for complaint about admission process…

description: 2024/2025 Redeemer's University, Ede Post UTME/Admission form Is Out call 07065086538 DR ANITA,for more details on how to purchase and register online. The Management of the school hereby inform the general public on the sales of the Admission form. And also the sales of direct entry form, pgd, masters and diploma Programme. contact the school Admin. Dr ANITA on 07065086538 for more details on how to purchase the form and also for complaint about admission process…
DOI: 10.34740/kaggle/dsv/9052688
title: Daily Public Opinion on Israel-Palestine War
DOI: 10.15468/dl.wxa2vw
title: Occurrence Download

description: A dataset containing 7415 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Salvia coccinea Buc'hoz ex Etl.)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 7415 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040119-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26390815.v40
title: 2024/2025 Renaissance University Post UTME/Admission form Is Out call 07065086538 DR ANITA,for more details on how to purchase and register online. The Management of the school hereby inform the general public on the sales of the Admission form. And also the sales of direct entry form, pgd, masters and diploma Programme. contact the school Admin. Dr ANITA on 07065086538 for more details on how to purchase the form and also for complaint about admission process…

description: 2024/2025 Renaissance University Post UTME/Admission form Is Out call 07065086538 DR ANITA,for more details on how to purchase and register online. The Management of the school hereby inform the general public on the sales of the Admission form. And also the sales of direct entry form, pgd, masters and diploma Programme. contact the school Admin. Dr ANITA on 07065086538 for more details on how to purchase the form and also for complaint about admission process…
DOI: 10.5281/zenodo.13118970
title: CVEfixes Dataset: Automatically Collected Vulnerabilities and Their Fixes from Open-Source Software

description: CVEfixes is a comprehensive vulnerability dataset that is automatically collected and curated from Common Vulnerabilities and Exposures (CVE) records in the public U.S. National Vulnerability Database (NVD). The goal is to support data-driven security research based on source code and source code metrics related to fixes for CVEs in the NVD by providing detailed information at different interlinked levels of abstraction, such as the commit-, file-, and method level, as well as the repository- and CVE level.

This release, v1.0.8, covers all published CVEs up to 23 July 2024. All open-source projects that were reported in CVE records in the NVD in this time frame _and_ had publicly available git repositories were fetched and considered for the construction of this vulnerability dataset. The dataset is organized as a relational database and covers 12107 vulnerability fixing commits in 4249 open source projects for a total of 11873 CVEs in 272 different Common Weakness Enumeration (CWE) types. The dataset includes the source code before and after changing 51342 files and 138974 functions. The collection took 48 hours with 4 workers (AMD EPYC Genoa-X 9684X).

This repository includes the SQL dump of the dataset, as well as the JSON for the CVEs and XML of the CWEs at the time of collection. The complete process has been documented in the paper "CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software", which is published in the Proceedings of the 17th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE '21). You will find a copy of the paper in the Doc folder. 

Citation and Zenodo links

Please cite this work by referring to the published paper:



Guru Bhandari, Amara Naseer, and Leon Moonen. 2021. CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software. In Proceedings of the 17th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE '21). ACM, 10 pages. https://doi.org/10.1145/3475960.3475985


@inproceedings{bhandari2021:cvefixes,
    title = {{CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software}},
    booktitle = {{Proceedings of the 17th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE '21)}},
    author = {Bhandari, Guru and Naseer, Amara and Moonen, Leon},
    year = {2021},
    pages = {10},
    publisher = {{ACM}},
    doi = {10.1145/3475960.3475985},
    copyright = {Open Access},
    isbn = {978-1-4503-8680-7},
    language = {en}
}

The dataset has been released on Zenodo with DOI:10.5281/zenodo.4476563. The GitHub repository containing the code to automatically collect the dataset can be found at https://github.com/secureIT-project/CVEfixes, released with DOI:10.5281/zenodo.5111494.
description: This work has been financially supported by the Research Council of Norway through the secureIT project (RCN contract #288787).
DOI: 10.5281/zenodo.4476563
title: CVEfixes Dataset: Automatically Collected Vulnerabilities and Their Fixes from Open-Source Software

description: CVEfixes is a comprehensive vulnerability dataset that is automatically collected and curated from Common Vulnerabilities and Exposures (CVE) records in the public U.S. National Vulnerability Database (NVD). The goal is to support data-driven security research based on source code and source code metrics related to fixes for CVEs in the NVD by providing detailed information at different interlinked levels of abstraction, such as the commit-, file-, and method level, as well as the repository- and CVE level.

This release, v1.0.8, covers all published CVEs up to 23 July 2024. All open-source projects that were reported in CVE records in the NVD in this time frame _and_ had publicly available git repositories were fetched and considered for the construction of this vulnerability dataset. The dataset is organized as a relational database and covers 12107 vulnerability fixing commits in 4249 open source projects for a total of 11873 CVEs in 272 different Common Weakness Enumeration (CWE) types. The dataset includes the source code before and after changing 51342 files and 138974 functions. The collection took 48 hours with 4 workers (AMD EPYC Genoa-X 9684X).

This repository includes the SQL dump of the dataset, as well as the JSON for the CVEs and XML of the CWEs at the time of collection. The complete process has been documented in the paper "CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software", which is published in the Proceedings of the 17th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE '21). You will find a copy of the paper in the Doc folder. 

Citation and Zenodo links

Please cite this work by referring to the published paper:



Guru Bhandari, Amara Naseer, and Leon Moonen. 2021. CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software. In Proceedings of the 17th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE '21). ACM, 10 pages. https://doi.org/10.1145/3475960.3475985


@inproceedings{bhandari2021:cvefixes,
    title = {{CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software}},
    booktitle = {{Proceedings of the 17th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE '21)}},
    author = {Bhandari, Guru and Naseer, Amara and Moonen, Leon},
    year = {2021},
    pages = {10},
    publisher = {{ACM}},
    doi = {10.1145/3475960.3475985},
    copyright = {Open Access},
    isbn = {978-1-4503-8680-7},
    language = {en}
}

The dataset has been released on Zenodo with DOI:10.5281/zenodo.4476563. The GitHub repository containing the code to automatically collect the dataset can be found at https://github.com/secureIT-project/CVEfixes, released with DOI:10.5281/zenodo.5111494.
description: This work has been financially supported by the Research Council of Norway through the secureIT project (RCN contract #288787).
DOI: 10.5281/zenodo.4476564
title: CVEfixes Dataset: Automatically Collected Vulnerabilities and Their Fixes from Open-Source Software

description: <em>CVEfixes</em> is a comprehensive vulnerability dataset that is automatically collected and curated from Common Vulnerabilities and Exposures (CVE) records in the public U.S. National Vulnerability Database (NVD). The goal is to support data-driven security research based on source code and source code metrics related to fixes for CVEs in the NVD by providing detailed information at different interlinked levels of abstraction, such as the commit-, file-, and method level, as well as the repository- and CVE level. At the initial release, the dataset covers all published CVEs up to 9 June 2021. All open-source projects that were reported in CVE records in the NVD in this time frame and had publicly available git repositories were fetched and considered for the construction of this vulnerability dataset. The dataset is organized as a relational database and covers 5495 vulnerability fixing commits in 1754 open source projects for a total of 5365 CVEs in 180 different Common Weakness Enumeration (CWE) types. The dataset includes the source code before and after fixing of 18249 files, and 50322 functions. This repository includes the SQL dump of the dataset, as well as the JSON for the CVEs and XML of the CWEs at the time of collection. The complete process has been documented in the paper <em>"CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software"</em>, which is published in the Proceedings of the 17th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE '21). You will find a copy of the paper in the Doc folder. <em><strong>Citation and Zenodo links</strong></em> Please cite this work by referring to the published paper: Guru Bhandari, Amara Naseer, and Leon Moonen. 2021. CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software. In Proceedings of the 17th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE '21). ACM, 10 pages. https://doi.org/10.1145/3475960.3475985 <pre><code>@inproceedings{bhandari2021:cvefixes, title = {{CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software}}, booktitle = {{Proceedings of the 17th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE '21)}}, author = {Bhandari, Guru and Naseer, Amara and Moonen, Leon}, year = {2021}, pages = {10}, publisher = {{ACM}}, doi = {10.1145/3475960.3475985}, copyright = {Open Access}, isbn = {978-1-4503-8680-7}, language = {en} }</code></pre> The dataset has been released on Zenodo with DOI:10.5281/zenodo.4476563. The GitHub repository containing the code to automatically collect the dataset can be found at https://github.com/secureIT-project/CVEfixes, released with DOI:10.5281/zenodo.5111494.
description: This work has been financially supported by the Research Council of Norway through the secureIT project (RCN contract #288787).
DOI: 10.5281/zenodo.7029359
title: CVEfixes Dataset: Automatically Collected Vulnerabilities and Their Fixes from Open-Source Software

description: <em>CVEfixes</em> is a comprehensive vulnerability dataset that is automatically collected and curated from Common Vulnerabilities and Exposures (CVE) records in the public U.S. National Vulnerability Database (NVD). The goal is to support data-driven security research based on source code and source code metrics related to fixes for CVEs in the NVD by providing detailed information at different interlinked levels of abstraction, such as the commit-, file-, and method level, as well as the repository- and CVE level. This release, v1.0.7, covers all published CVEs up to 27 August 2022. All open-source projects that were reported in CVE records in the NVD in this time frame _and_ had publicly available git repositories were fetched and considered for the construction of this vulnerability dataset. The dataset is organized as a relational database and covers 7798 vulnerability fixing commits in 2487 open source projects for a total of 7637 CVEs in 209 different Common Weakness Enumeration (CWE) types. The dataset includes the source code before and after changing 29309 files and 98250 functions. This repository includes the SQL dump of the dataset, as well as the JSON for the CVEs and XML of the CWEs at the time of collection. The complete process has been documented in the paper <em>"CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software"</em>, which is published in the Proceedings of the 17th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE '21). You will find a copy of the paper in the Doc folder. <em><strong>Citation and Zenodo links</strong></em> Please cite this work by referring to the published paper: Guru Bhandari, Amara Naseer, and Leon Moonen. 2021. CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software. In Proceedings of the 17th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE '21). ACM, 10 pages. https://doi.org/10.1145/3475960.3475985 <pre><code>@inproceedings{bhandari2021:cvefixes, title = {{CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software}}, booktitle = {{Proceedings of the 17th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE '21)}}, author = {Bhandari, Guru and Naseer, Amara and Moonen, Leon}, year = {2021}, pages = {10}, publisher = {{ACM}}, doi = {10.1145/3475960.3475985}, copyright = {Open Access}, isbn = {978-1-4503-8680-7}, language = {en} }</code></pre> The dataset has been released on Zenodo with DOI:10.5281/zenodo.4476563. The GitHub repository containing the code to automatically collect the dataset can be found at https://github.com/secureIT-project/CVEfixes, released with DOI:10.5281/zenodo.5111494.
description: This work has been financially supported by the Research Council of Norway through the secureIT project (RCN contract #288787).
DOI: 10.6084/m9.figshare.26390815.v41
title: 2024/2025 Rhema University, Obeama-Asa Post UTME/Admission form Is Out call 07065086538 DR ANITA,for more details on how to purchase and register online. The Management of the school hereby inform the general public on the sales of the Admission form. And also the sales of direct entry form, pgd, masters and diploma Programme. contact the school Admin. Dr ANITA on 07065086538 for more details on how to purchase the form and also for complaint about admission process…

description: 2024/2025 Rhema University, Obeama-Asa Post UTME/Admission form Is Out call 07065086538 DR ANITA,for more details on how to purchase and register online. The Management of the school hereby inform the general public on the sales of the Admission form. And also the sales of direct entry form, pgd, masters and diploma Programme. contact the school Admin. Dr ANITA on 07065086538 for more details on how to purchase the form and also for complaint about admission process…
DOI: 10.15468/dl.fm97u6
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Salvia dianthera Roth)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040120-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26390815.v42
title: 2024/2025 Ritman University, Ikot Ekpene Post UTME/Admission form Is Out call 07065086538 DR ANITA,for more details on how to purchase and register online. The Management of the school hereby inform the general public on the sales of the Admission form. And also the sales of direct entry form, pgd, masters and diploma Programme. contact the school Admin. Dr ANITA on 07065086538 for more details on how to purchase the form and also for complaint about admission process…

description: 2024/2025 Ritman University, Ikot Ekpene Post UTME/Admission form Is Out call 07065086538 DR ANITA,for more details on how to purchase and register online. The Management of the school hereby inform the general public on the sales of the Admission form. And also the sales of direct entry form, pgd, masters and diploma Programme. contact the school Admin. Dr ANITA on 07065086538 for more details on how to purchase the form and also for complaint about admission process…
DOI: 10.34740/kaggle/dsv/9052699
title: Public Opinion on Climate Change (Updated Daily)
DOI: 10.6084/m9.figshare.26390815.v43
title: 2024/2025 Salem University, Lokoja Post UTME/Admission form Is Out call 07065086538 DR ANITA,for more details on how to purchase and register online. The Management of the school hereby inform the general public on the sales of the Admission form. And also the sales of direct entry form, pgd, masters and diploma Programme. contact the school Admin. Dr ANITA on 07065086538 for more details on how to purchase the form and also for complaint about admission process…

description: 2024/2025 Salem University, Lokoja Post UTME/Admission form Is Out call 07065086538 DR ANITA,for more details on how to purchase and register online. The Management of the school hereby inform the general public on the sales of the Admission form. And also the sales of direct entry form, pgd, masters and diploma Programme. contact the school Admin. Dr ANITA on 07065086538 for more details on how to purchase the form and also for complaint about admission process…
DOI: 10.15468/dl.m9cy6f
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Salvia ×ianthina Otto & A.Dietr.)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040121-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26390815.v44
title: 2024/2025 Glorious Vision University Post UTME/Admission form Is Out call 07065086538 DR ANITA,for more details on how to purchase and register online. The Management of the school hereby inform the general public on the sales of the Admission form. And also the sales of direct entry form, pgd, masters and diploma Programme. contact the school Admin. Dr ANITA on 07065086538 for more details on how to purchase the form and also for complaint about admission process…

description: 2024/2025 Glorious Vision University Post UTME/Admission form Is Out call 07065086538 DR ANITA,for more details on how to purchase and register online. The Management of the school hereby inform the general public on the sales of the Admission form. And also the sales of direct entry form, pgd, masters and diploma Programme. contact the school Admin. Dr ANITA on 07065086538 for more details on how to purchase the form and also for complaint about admission process…
DOI: 10.6084/m9.figshare.26390815.v45
title: 2024/2025 Southwestern University, Oku Owa Post UTME/Admission form Is Out call 07065086538 DR ANITA,for more details on how to purchase and register online. The Management of the school hereby inform the general public on the sales of the Admission form. And also the sales of direct entry form, pgd, masters and diploma Programme. contact the school Admin. Dr ANITA on 07065086538 for more details on how to purchase the form and also for complaint about admission process…

description: 2024/2025 Southwestern University, Oku Owa Post UTME/Admission form Is Out call 07065086538 DR ANITA,for more details on how to purchase and register online. The Management of the school hereby inform the general public on the sales of the Admission form. And also the sales of direct entry form, pgd, masters and diploma Programme. contact the school Admin. Dr ANITA on 07065086538 for more details on how to purchase the form and also for complaint about admission process…
DOI: 10.15468/dl.wxeg3e
title: Occurrence Download

description: A dataset containing 3578 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Salvia microphylla Kunth)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 3578 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040123-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c7a6a7
title: Occurrence Download

description: A dataset containing 28860 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pieris mannii (Mayer, 1851)"
 ]
}

 The dataset includes 28860 records from 377 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040122-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.