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README.md
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# bioRxiv Paper Metadata Dataset
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This dataset includes metadata of all papers (297,902) from bioRxiv between November 16, 2013, and March 17, 2025. To access the full text, please visit the official website by searching the paper title or DOI: https://www.biorxiv.org/ , or retrieve the paper using the official API: https://api.biorxiv.org/
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## Dataset Fields
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- **doi**: Digital Object Identifier
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- **title**: Paper title
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- **authors**: List of authors
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- **author_corresponding**: Corresponding author
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- **author_corresponding_institution**: Corresponding author's institution
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- **date**: Publication date
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- **version**: Version information
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- **type**: Paper type
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- **license**: License information
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- **category**: Subject category
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- **jatsxml**: Content in JATS XML format
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- **abstract**: Abstract
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- **published**: Publication status
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- **server**: Server information
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- **__index_level_0__**: Index
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## Usage
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You can load the dataset using the following code
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```python
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import pandas as pd
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## Update Log
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- **2025-03-16**: Dataset updated; future updates will occur monthly
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# bioRxiv Paper Metadata Dataset
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This dataset includes metadata of all papers (297,902) from bioRxiv between November 16, 2013, and March 17, 2025. To access the full text, please visit the official website by searching the paper title or DOI: https://www.biorxiv.org/ , or retrieve the paper using the official API: https://api.biorxiv.org/ .
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## Dataset Fields
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- **doi**: Digital Object Identifier.
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- **title**: Paper title.
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- **authors**: List of authors.
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- **author_corresponding**: Corresponding author.
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- **author_corresponding_institution**: Corresponding author's institution.
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- **date**: Publication date.
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- **version**: Version information.
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- **type**: Paper type.
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- **license**: License information.
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- **category**: Subject category.
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- **jatsxml**: Content in JATS XML format.
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- **abstract**: Abstract.
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- **published**: Publication status.
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- **server**: Server information.
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- **__index_level_0__**: Index.
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## Usage
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You can load the dataset using the following code:
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```python
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import pandas as pd
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## Update Log
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- **2025-03-16**: Dataset updated; future updates will occur monthly.
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