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Dataset . 2020
Data sources: Datacite
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2020
Data sources: Datacite
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Dataset: Water-flume model geometries of a tall-building cluster in Beijing

Authors: Hertwig, Denise; Gough, Hannah L.; Grimmond, Sue; Vanderwel, Christina;

Dataset: Water-flume model geometries of a tall-building cluster in Beijing

Abstract

This dataset contains CAD drawings (.stl files) of five geometry variations of a cluster of tall buildings in Beijing. The dimensions are in model scale (S1 = 1:2400; S2 = 1:4800) and have units of mm. The models were used in water-flume experiments at the University of Southampton in collaboration with the University of Reading (flow and concentration measurements). This repository contains: wf_geometry_readme.pdf : Meta information and description of data in 'wf_geometry.zip' wf_geometry.zip : model drawings (.stl files)

This research was funded by the UK China Research & Innovation Partnership Fund through the Met Office Climate Science for Service Partnership (CSSP) China as part of the Newton Fund (High Res City; AJYG-DX4P1V), NERC and a UK Fluids Network Visitor Grant.

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Keywords

tall building, model geometry, Beijing, water flume, STL, CAD, building cluster

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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