Code, data and plots underlying the doctoral thesis:"Design of urban vertical-axis wind turbines: balancing performance and noise"
doi:10.4121/2fea8e3d-c0e6-4ea4-9d04-d3408cdf167d.v1
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doi: 10.4121/2fea8e3d-c0e6-4ea4-9d04-d3408cdf167d
doi: 10.4121/2fea8e3d-c0e6-4ea4-9d04-d3408cdf167d
Datacite citation style:
Brandetti, Livia (2023): Code, data and plots underlying the doctoral thesis:"Design of urban vertical-axis wind turbines: balancing performance and noise". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/2fea8e3d-c0e6-4ea4-9d04-d3408cdf167d.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
usage stats
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licence
CC0
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:
- Numerical Data: Raw experimental data, measurements, and calculations.
- Visual Data: Graphs, charts, and plots illustrating key findings and trends.
- Textual Data: Descriptions, explanations, and interpretation of the data.
To enhance usability, each folder contains supplementary documentation, including:
- README Files: These files provide chapter-specific overviews, explanations of data formats, and any relevant context required for understanding the data and plots.
- Citation information: Proper citation guidelines to acknowledge the original source when using the dataset for research or reference.
history
- 2023-11-20 first online, published, posted
publisher
4TU.ResearchData
format
.zip file, containing data in .mat, scripts in .m and plots in .fig and .pdf
organizations
TU Delft, Faculty of Aerospace Engineering, Department Flow Physics and Technology, Wind Energy
DATA
files (5)
- 137,375 bytesMD5:
07ee416b5473c3527e0ecf4dbc4ad55a
Chapter1.zip - 17,956,306 bytesMD5:
9c59822f36db3b3708b11ef99ac6c286
Chapter2.zip - 219,527,546 bytesMD5:
ffdb79ac054bbea1e7c5419852939874
Chapter3.zip - 260,617,280 bytesMD5:
bcedfbfbfbc1ac123b3efe7237db6773
Chapter4.zip - 2,619,075,463 bytesMD5:
950d676b05459e60da2afb22a501fc75
Chapter5.zip -
download all files (zip)
3,117,313,970 bytes unzipped