Data underlying the publication: Wind machines for frost damage mitigation: A quantitative 3D investigation based on observations

DOI:10.4121/20583801.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/20583801

Datacite citation style

Dai, Yi; Boekee, Judith; Schilperoort, Bart; Veldhuis, Marie-Claire ten; van de Wiel, B. J. H. (Bas) (2023): Data underlying the publication: Wind machines for frost damage mitigation: A quantitative 3D investigation based on observations. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/20583801.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Delft University of Technology logo

Usage statistics

474
views
811
downloads

Geolocation

Krabbendijke, The Netherlands
lat (N): 51°25’44.7”
lon (E): 4°8’8.5”
view on openstreetmap

Time coverage

07/05/2021 - 08/05/2022

Licence

CC0

Interoperability

 ***General Introduction***

This dataset contains data collected during the Clarity on Fruitfrost project at Delft University of Technology, as part of Y. Dai’s PhD Thesis project.

It is being made public both to act as supplementary data for publications of Y. Dai and in order for other researchers to use this data in their own work.

The data in this data set was collected in Krabbendijke, The Netherlands, 7-8 May 2021.

This research project was made possible by a grant from the NWO.

***Purpose of the measurement campaign***

The purpose of these experiments was to study frost protection by a wind machine in a fruit orchard.

***Description of the data in this data set***

The data included in this data set has been organised per instrument. The files follow the nomenclature system: Month_instrument_loc with loc = wind direction + number of tree rows distance to the wind machine

The precise location of the instruments is mapped in a google earth file: data_location_4TU_May.kmz. 

The following instruments are included: sonic-anometer, radiometer, DTS.

History

  • 2023-05-31 first online, published, posted

Publisher

4TU.ResearchData

Funding

  • NWO EN-WSS.2018.006

Organizations

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Geoscience and Remote Sensing
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Water Management

DATA

Files (10)