Magnetic Margins: Analytical Data

This dataset contains CSV files for data analysis of the Magnetic Margins Cenus, and PDFs with supplements.

1. mm_data_annotations.csv

Use: This dataset contains annotations that link specific copies (exemplars) to sections in a text.

Encoding:

copy.Id: Identifier for the copy.

concat(substructures.Id): A comma-separated list of section IDs referenced in the annotation.

weighted: A numeric value representing the significance of the annotation.

2. mm_data_sections.csv

Use: Contains information on sections within the text, including their assigned topics.

Encoding:

Id: Unique section identifier.

topic_row: A comma-separated list of topics assigned to the section.

3. mm_data_copies.csv

Use: Lists copies (exemplars) of the text that have been annotated.

Encoding:

Id: Unique identifier for the copy.

Additional metadata on each copy.

4. mm_data_gilbert_variants-iiiiv.pdf

Use: Document describing textual variants in the Gilbert corpus.

Encoding: Standard PDF with textual and possibly tabular content.

5. mm_data_gilbert-editorial-corrections.pdf

Use: Document containing editorial corrections made to Gilbert’s 1600 edition.

Encoding: PDF format.

6. mm_data_ttl.zip

Use: Archive containing TTL (Terse Triple Language) files, for RDF-based semantic encoding.

Encoding: Compressed archive, containing RDF triples for linked data representation.

7. mm_data-model.zip

Use: Highly simplified ontology diagram to understand the underlying model of the knowledge graph.

Encoding: Static image file.