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Historic Waterpower Britain

Posted on 2024-07-04 - 12:28 authored by Tara Jonell
This collection includes supplementary tables (Tables S1-S6), datasets (Data S1) and metadata  supporting  “Limited waterpower contributed to rise of steam power in British ‘Cottonopolis’” by Jonell, Jones, Lucas and Naylor.


When citing this dataset, please also cite: 

 Jonell, T.N., Jones, P., Lucas, A., Naylor, S., 2024, Limited waterpower contributed to rise of steam power in British ‘Cottonopolis’: Proceedings of the National Academy of Sciences Nexus, doi: 10.1093/pnasnexus/pgae251 

 

This includes two documentation files, one explaining the metadata and structure of each spatial data file for the QGIS project 'HistoricWaterpowerBritain' and another .html document explaining how data analyses were conducted in MATLAB with a walk-through guide.  All codes used for hydrological and point pattern analysis are from TopoToolbox (https://github.com/wschwanghart/topotoolbox) and Topographic Analysis Kit (https://github.com/amforte/Topographic-Analysis-Kit).


Some Scottish mill data from 1843‒1914 maps are available through the National Library of Scotland ‘Scottish Water Mills Project’ website (https://maps.nls.uk/projects/mills/index.html).  Map datasets used to generate the mill census can be found in the National Library of Scotland and British Library Roy Gazetteer (https://maps.nls.uk/roy/) and GB1900 Gazetteer https://www.visionofbritain.org.uk/data/), and in county maps held by the National Library of Scotland (https://maps.nls.uk/counties/), at the British Library, the National Library of Wales (https://www.library.wales/discover-learn/digital-exhibitions/maps/county-maps), Gallica in the National Library of France (https://gallica.bnf.fr/), the Royal Geographical Society (with the Institute of British Geographers) via the Wiley Digital Archives, the Digital Archive at McMaster University Library (http://digitalarchive.mcmaster.ca/), the Yale University Library (https://library.yale.edu/), and the David Rumsey Map Collection at the University of Stanford Libraries (https://www.davidrumsey.com/).


No claim to datasets from which data in this study were derived: OS data under ©Crown Copyright 2007, License number 100017572; OS data under ©Crown Copyright [and database right] (2021); data under ©The Canal & River Trust copyright [database right] (2015); results based upon Land Cover Map 2021 under ©UK CEH copyright (2022) and ©Environment Agency copyright [and database right] (2016); and data from the SEPA and HadUK-Grid under an Open Government License v3.0.

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FUNDING

This work was supported by the Leverhulme Trust, ‘Away from the Water’ [grant number RPG-2020-087].

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