Dataset Open Access
Dataset of "An end-to-end KNN-based PTV approach for high-resolution measurements and uncertainty quantification"
Tirelli, Iacopo;
Ianiro, Andrea;
Discetti, Stefano
Dataset of the article "An end-to-end KNN-based PTV approach for high-resolution measurements and uncertainty quantification" (https://doi.org/10.1016/j.expthermflusci.2022.110756). Local similarity between non-time-resolved snapshots is enforced by KNN to extract high-resolution velocity fields and estimate the uncertainty of the measurements.
The codes processing data here are on https://github.com/erc-nextflow/KNN-PTV.
Files
(4.6 GB)
| Name | Size | |
|---|---|---|
|
Fluidic_Pinball.zip
md5:4e9f8dd07d534c41c2ad166ea6adc565 |
539.6 MB | Download |
|
Turbulent_Boundary_Layer.zip
md5:90f21cd44c099349ed9619e9ff30a1c3 |
2.2 GB | Download |
|
Turbulent_Channel_Flow.zip
md5:23ac6831980f54210b58ecd8938cb1b8 |
1.8 GB | Download |
106
38
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 106 | 106 |
| Downloads | 38 | 38 |
| Data volume | 59.2 GB | 59.2 GB |
| Unique views | 85 | 85 |
| Unique downloads | 24 | 24 |
Indexed in
- Publication date:
- August 19, 2022
- DOI:
-
- Keyword(s):
- Particle Image Velocimetry Turbulent flows Optical measurement techniques Particle Tracking Velocimetry
- Grants:
-
European Commission:
- NEXTFLOW - Next-generation flow diagnostics for control (949085)
- Related identifiers:
- Cites
- 10.1016/j.expthermflusci.2022.110756 (Journal article)
- License (for files):
- Creative Commons Attribution 4.0 International