Data analysis of NLS collections as data, including collections of metadata and digitised text. Visit the National Library of Scotland's Data Foundry > Tools > Jupyter Notebooks to learn more about the contents of each Notebook and the data it explores.
To explore the collections listed below in live Jupyter Notebooks, open them here in Binder (please note this may take several minutes to load).
This repository explores datasets from the National Library of Scotland's Data Foundry using Jupyter Notebooks. The Notebooks provide introductions to NLS collection data suitable for those with or without experience programming. For an introduction to using Jupyter Notebooks, please refer to Tim Sherratt's GLAM Workbench.
While creating the Jupyter Notebooks in this repository, the author referenced material from the sources below. The author sought to use the material for learning only, applying code taught in the material to NLS collections and inform the explanations of the code, but not copy the code or code explanations. If you feel the citations below (and in each Noteook) do not provide adequate attribution for your work, please contact digital.scholarship.nls.uk.
- Alex, Beatrice and Llewellyn, Clare. (2020) Library Carpentry: Text & Data Mining. Centre for Data, Culture & Society, University of Edinburgh. http://librarycarpentry.org/lc-tdm/.
- Bird, Steven and Klein, Ewan and Loper, Edward. (2019) Natural Language Processing with Python – Analyzing Text with the Natural Language Toolkit. O'Reilly Media. 978-0-596-51649-9. https://www.nltk.org/book/.
- Python Software Foundation. (2020) xml.etree.ElementTree — The ElementTree XML API. Python 3.8.6 Documentation, The Python Standard Library, Structured Markup Processing Tools. https://docs.python.org/3/library/xml.etree.elementtree.html.
Explore this collection in a static or interactive Jupyter Notebook here
- Owner: National Library of Scotland
- Creator: National Library of Scotland
- DOI: https://doi.org/10.34812/8pje-tv48
- Date created: 10/01/2019
- Rights: Items in this dataset up to 1968 are free of known copyright and in the public domain. Items in this dataset from 1969 are available under the Open Government License v.3.0.
- Contact: digital.scholarship@nls.uk
Explore this collection in a static or interactive Jupyter Notebook here
- Owner: National Library of Scotland
- Creator: National Library of Scotland
- DOI: https://doi.org/10.34812/2w0t-3f08
- Date created: 27/08/2019
- Rights: Items in this dataset are free of known copyright and in the public domain.
- Contact: digital.scholarship@nls.uk
Explore this collection in a static or interactive Jupyter Notebook here.
- Owner: National Library of Scotland
- Creator: National Library of Scotland
- DOI: https://doi.org/10.34812/rqn6-dm40
- Date created: 15/10/2019
- Rights: Items in this dataset are likely to be free of known copyright restrictions (No Known Copyright).
- Contact: digital.scholarship@nls.uk
Explore this collection in a static or interactive Jupyter Notebook here.
- Owner: National Library of Scotland
- Creator: National Library of Scotland
- DOI: https://doi.org/10.34812/a61z-m825
- Date created: 15/10/2019
- Rights: Items in this dataset are free of known copyright and in the public domain.
- Contact: digital.scholarship@nls.uk
Explore this collection in a static or interactive Jupyter Notebook here.
- Owner: National Library of Scotland
- Creator: National Library of Scotland
- Website: Visit the NLS Data Foundry
- Date created: 30/08/2019
- Date updated: 06/09/2019
- Licence: Creative Commons Attribution 4.0 International (CC-BY 4.0)