
2 Author’s info: name
2.1 Author name Fennica
MARC: 100a
Author’s name section’s summary tables offer insights into the dataset’s integrity, illustrating the accepted and discarded author names. An examination of missing values in the original dataset provides transparency regarding data completeness. The inclusion of information on name variants and pseudonyms enriches the analysis, addressing nuances in authorship representation. This comprehensive approach ensures a thorough understanding of the dataset’s composition and the intricacies associated with author identification.
2.1.1 Complete Dataset Overview
- Unique accepted entries in original data: 195920
- Unique discarded entries in original data (excluding NA cases): 25
- Original documents with non-NA titles 776976 / 1229782 (63.2%)
- Original documents with missing (NA) titles 452806 / 1229782 documents (36.8%)
2.1.1.1 Authors
195920 unique authors These final names capture all name variants from the custom author synonyme table, and exclude known pseudonymes (see below). If multiple names for the same author are still observed on this list, they should be added on the author synonyme table.
Author name conversions Non-trivial conversions from the original raw data to final names.
#Author’s name (100a) - Top 10
2.1.1.2 Auxiliary files
2.1.2 Subset Analysis: 1809-1917
Unique discarded entries in original data (excluding NA cases): 16
Top-20 titles and their title counts for period 1809-1917.
The accompanying plot visually underscores the prominence of these authors, emphasizing the metric of the number of unique titles published by each author.

3 Author’s name after integration
- Unique accepted entries in original data: 0
- Unique discarded entries in original data (excluding NA cases): 0
- Original documents with non-NA titles 0 / 1229782 (NaN%)
- Original documents with missing (NA) titles 0 / 1229782 documents (NaN%)
4 Author’s Name after Kanto integration

5 1809-1917 all names
