The paper has histograms (including 2D histograms), corr-plots (of a kind) and geographic data plotted.
New features required by Fluid
No response
Any other comments?
MATLAB again, and proprietary data for power outages. Looks interesting and the visualisations contain lots of underlying data, but may not be worth all the effort.
Publication title
Identification of weather patterns and transitions likely to cause power outages in the United Kingdom
Link to publication
https://doi.org/10.1038/s43247-024-01217-w
Name of journal/magazine/publisher
Communications Earth & Environment
Year of publication
2024
Licence for publication
CC BY
Link to data used in the publication
From the “data availability” statement:
(Weather-pattern data (first link) is licensed under CC BY-NC-SA, which is interesting.)
Data availability
Available publicly under an open-access licence
Contact for data
Laiz Souto, University of Bristol
Dataset topic(s)
Weather, power systems
Data format(s)
TSV for weather data
Dataset size
(Small) Less than 1 MB
Link to code used for the publication
Code availability
Any open-source licence
Programming language
MATLAB
Summary of visualisation(s)
The paper has histograms (including 2D histograms), corr-plots (of a kind) and geographic data plotted.
New features required by Fluid
No response
Any other comments?
MATLAB again, and proprietary data for power outages. Looks interesting and the visualisations contain lots of underlying data, but may not be worth all the effort.