Automated Organization Profile

Athens University of Economics and Business, Greece

Current S-Index

19.1

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

9.5

Average Dataset Index per dataset

Total Datasets

2

Total datasets in this organization

Average FAIR Score

73.1%

Average FAIR Score per dataset

Total Citations

1

Total citations to the organization's datasets

Total Mentions

30

Total mentions of the organization's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

The Software Heritage Graph Dataset (Version: 1.0.0)

Software Heritage is the largest existing public archive of software source
code and accompanying development history: it currently spans more than five
billion unique source code files and one billion unique commits, coming from
more than 80 million software projects. This is the Software Heritage graph dataset: a fully-deduplicated
Merkle DAG representation of the Software Heritage archive. The dataset links
together file content identifiers, source code directories, Version Control
System (VCS) commits tracking evolution over time, up to the full states of VCS
repositories as observed by Software Heritage during periodic crawls. The
dataset’s contents come from major development forges (including GitHub and
GitLab), FOSS distributions (e.g., Debian), and language-specific package
managers (e.g., PyPI). Crawling information is also included, providing
timestamps about when and where all archived source code artifacts have been
observed in the wild. The Software Heritage graph dataset is available in multiple formats, including
downloadable CSV dumps and Apache Parquet files for local use, as well as a
public instance on Amazon Athena interactive query service for ready-to-use
powerful analytical processing. By accessing the dataset, you agree with the Software Heritage Ethical Charter
for using the archive data, and the terms of use for bulk access. If you use this dataset for research purposes, please cite the following paper: Antoine Pietri, Diomidis Spinellis, Stefano Zacchiroli.
The Software Heritage Graph Dataset: Public software development under one roof.
In proceedings of MSR 2019: The 16th International Conference on Mining Software Repositories, May 2019, Montreal, Canada. Co-located with ICSE 2019.
preprint, bibtex You can also refer to the above paper for more information the dataset and sample queries.

Authors

  • Pietri, Antoine ;
  • Spinellis, Diomidis ;
  • Zacchiroli, Stefano
1 Citation30 Mentions73% FAIR17.3 Dataset Index
10.5281/zenodo.25839782019

The Software Heritage Graph Dataset (Version: 1.0.0)

Software Heritage is the largest existing public archive of software source
code and accompanying development history: it currently spans more than five
billion unique source code files and one billion unique commits, coming from
more than 80 million software projects. This is the Software Heritage graph dataset: a fully-deduplicated
Merkle DAG representation of the Software Heritage archive. The dataset links
together file content identifiers, source code directories, Version Control
System (VCS) commits tracking evolution over time, up to the full states of VCS
repositories as observed by Software Heritage during periodic crawls. The
dataset’s contents come from major development forges (including GitHub and
GitLab), FOSS distributions (e.g., Debian), and language-specific package
managers (e.g., PyPI). Crawling information is also included, providing
timestamps about when and where all archived source code artifacts have been
observed in the wild. The Software Heritage graph dataset is available in multiple formats, including
downloadable CSV dumps and Apache Parquet files for local use, as well as a
public instance on Amazon Athena interactive query service for ready-to-use
powerful analytical processing. By accessing the dataset, you agree with the Software Heritage Ethical Charter
for using the archive data, and the terms of use for bulk access. If you use this dataset for research purposes, please cite the following paper: Antoine Pietri, Diomidis Spinellis, Stefano Zacchiroli.
The Software Heritage Graph Dataset: Public software development under one roof.
In proceedings of MSR 2019: The 16th International Conference on Mining Software Repositories, May 2019, Montreal, Canada. Co-located with ICSE 2019.
preprint, bibtex You can also refer to the above paper for more information the dataset and sample queries.

Authors

  • Pietri, Antoine ;
  • Spinellis, Diomidis ;
  • Zacchiroli, Stefano
0 Citations0 Mentions73% FAIR1.8 Dataset Index
10.5281/zenodo.25839772019