Datasets:
Refresh dataset tables for 11.1.1
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README.md
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# 📚 Compact OpenAIRE Citation Graph
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> The complete OpenAIRE citation graph, distilled into a handful of compact, analysis-ready files — the full scholarly citation network of the open-science ecosystem, small enough to actually work with.
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Citation graphs at this scale are usually locked behind multi-terabyte dumps and heavyweight infrastructure. This dataset makes the **entire OpenAIRE citation network** loadable on a normal machine: publications as nodes, citations as edges, served as compressed Parquet with a memory-efficient loading path. A richer node file adds titles, abstracts, authors, dates, and a full set of persistent identifiers (DOI, PubMed, MAG, arXiv, and more) for text-attributed and metadata-driven work.
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| File | Role | Size (Parquet) | Number of entries |
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| --- | --- | --- | --- |
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| `citations.parquet` | Edges — the citation links between publications |
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| `publications_large.parquet` | Nodes with additional metadata fields (see below) |
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### Features/columns in `publications_large`
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| Field | Type | Description | Memory (GB) | Filled |
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| --- | --- | --- | --- | --- |
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| `nodeId` | int32 | Unique internal node
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| `openaireId` | str | OpenAIRE platform
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| `title` | str |
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| `authors` | list[str] |
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| `description` | str | Abstract
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| `date` | datetime |
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| `container` | str | Journal
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| `citations` | int | Number of times cited | 1.6 | 97.
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| `language` | str | Language
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| `pid_dois` | list[str] | DOI identifiers | 5.
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| `pid_mag_ids` | list[str] | MAG IDs | 2.0 |
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| `pid_pmids` | list[str] | PubMed IDs | 1.
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| `pid_handles` | list[str] | Persistent handles | 1.
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| `pid_pmcs` | list[str] | PubMed Central IDs |
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| `pid_arxiv_ids` | list[str] | ArXiv IDs | 0.9 | 1.38% |
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## Quickstart
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# 📚 Compact OpenAIRE Citation Graph
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<!-- BASED-ON:START -->
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*Based on **OpenAIRE Graph v11.1.1** ([source on Zenodo](https://zenodo.org/records/20428976)).*
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<!-- BASED-ON:END -->
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> The complete OpenAIRE citation graph, distilled into a handful of compact, analysis-ready files — the full scholarly citation network of the open-science ecosystem, small enough to actually work with.
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Citation graphs at this scale are usually locked behind multi-terabyte dumps and heavyweight infrastructure. This dataset makes the **entire OpenAIRE citation network** loadable on a normal machine: publications as nodes, citations as edges, served as compressed Parquet with a memory-efficient loading path. A richer node file adds titles, abstracts, authors, dates, and a full set of persistent identifiers (DOI, PubMed, MAG, arXiv, and more) for text-attributed and metadata-driven work.
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| File | Role | Size (Parquet) | Number of entries |
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| --- | --- | --- | --- |
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| `citations.parquet` | Edges — the citation links between publications | 9.2 GB | ~2.37B |
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| `publications_large.parquet` | Nodes with additional metadata fields (see below) | 75.5 GB | ~216M |
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### Features/columns in `publications_large`
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| Field | Type | Description | Memory (GB) | Filled |
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| --- | --- | --- | --- | --- |
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| `nodeId` | int32 | Unique internal identifier for the node (publication) | 0.8 | 100.00% |
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| `openaireId` | str | Identifier assigned by the OpenAIRE platform | 10.1 | 100.00% |
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| `title` | str | Title of the publication | 17.3 | 99.40% |
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| `authors` | list[str] | List of authors associated with the publication | 11.6 | 83.78% |
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| `description` | str | Abstract or short description of the publication | 137.6 | 57.10% |
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| `date` | datetime | Date when the publication was published | 0.8 | 97.33% |
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| `container` | str | Journal, conference, or repository where it was published | 5.7 | 68.35% |
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| `citations` | int | Number of times the publication has been cited | 1.6 | 97.62% |
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| `language` | str | Language in which the publication is written | 1.5 | 100.00% |
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| `pid_dois` | list[str] | DOI identifiers | 5.9 | 80.60% |
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| `pid_mag_ids` | list[str] | MAG IDs | 2.0 | 39.50% |
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| `pid_pmids` | list[str] | PubMed IDs | 1.3 | 18.14% |
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| `pid_handles` | list[str] | Persistent handles | 1.2 | 8.35% |
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| `pid_pmcs` | list[str] | PubMed Central IDs | 1.0 | 4.78% |
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| `pid_arxiv_ids` | list[str] | ArXiv IDs | 0.9 | 1.38% |
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## Quickstart
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