cff-version: 1.2.0
abstract: "<p>This comprehensive dataset contains all the data and plots presented in the Doctoral Thesis, organised into separate folders corresponding to each thesis chapter. This arrangement allows for easy access to specific sections of interest, facilitating focused research and analysis. Every data, graph, chart or plot presented within the thesis is included in its original form within this dataset. The dataset encompasses a wide variety of data types, including but not limited to:</p><ul><li><strong>Numerical Data: </strong>Raw experimental data, measurements, and calculations.</li><li><strong>Visual Data:</strong> Graphs, charts, and plots illustrating key findings and trends.</li><li><strong>Textual Data:</strong> Descriptions, explanations, and interpretation of the data.</li></ul><p>To enhance usability, each folder contains supplementary documentation, including:</p><ul><li><strong>README Files:</strong> These files provide chapter-specific overviews, explanations of data formats, and any relevant context required for understanding the data and plots.</li><li><strong>Citation information: </strong>Proper citation guidelines to acknowledge the original source when using the dataset for research or reference.</li></ul>"
authors:
  - family-names: Brandetti
    given-names: Livia
    orcid: "https://orcid.org/0000-0002-6244-0293"
title: "Code, data and plots underlying the doctoral thesis:&#34;Design of urban vertical-axis wind turbines: balancing performance and noise&#34;"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/2fea8e3d-c0e6-4ea4-9d04-d3408cdf167d.v1
license: CC0
date-released: 2023-11-20