The University of Southampton
University of Southampton Institutional Repository

Dataset for: Determination of urban particulates size from occluded scattering patterns using deep learning and data augmentation

Dataset for: Determination of urban particulates size from occluded scattering patterns using deep learning and data augmentation
Dataset for: Determination of urban particulates size from occluded scattering patterns using deep learning and data augmentation
This dataset supports the publication: James A. Grant-Jacob, Matthew Praeger, Matthew Loxham, Robert W. Eason and Ben Mills. Determination of size of urban particulates from occluded scattering patterns using deep learning and data augmentation. IOP Environmental Research Communications. DOI: 10.1088/2515-7620/abed94
University of Southampton
Grant-Jacob, James
c5d144d8-3c43-4195-8e80-edd96bfda91b
Praeger, Matthew
84575f28-4530-4f89-9355-9c5b6acc6cac
Loxham, Matthew
8ef02171-9040-4c1d-8452-2ca34c56facb
Eason, Robert
e38684c3-d18c-41b9-a4aa-def67283b020
Mills, Benjamin
05f1886e-96ef-420f-b856-4115f4ab36d0
Grant-Jacob, James
c5d144d8-3c43-4195-8e80-edd96bfda91b
Praeger, Matthew
84575f28-4530-4f89-9355-9c5b6acc6cac
Loxham, Matthew
8ef02171-9040-4c1d-8452-2ca34c56facb
Eason, Robert
e38684c3-d18c-41b9-a4aa-def67283b020
Mills, Benjamin
05f1886e-96ef-420f-b856-4115f4ab36d0

Grant-Jacob, James (2021) Dataset for: Determination of urban particulates size from occluded scattering patterns using deep learning and data augmentation. University of Southampton doi:10.5258/SOTON/D1668 [Dataset]

Record type: Dataset

Abstract

This dataset supports the publication: James A. Grant-Jacob, Matthew Praeger, Matthew Loxham, Robert W. Eason and Ben Mills. Determination of size of urban particulates from occluded scattering patterns using deep learning and data augmentation. IOP Environmental Research Communications. DOI: 10.1088/2515-7620/abed94

Text
readme.txt - Dataset
Available under License Creative Commons Attribution.
Download (3kB)
Image
Fig1.png - Image
Available under License Creative Commons Attribution.
Download (461kB)
Image
Fig3.png - Image
Available under License Creative Commons Attribution.
Download (130kB)
Text
Fig3a.txt - Dataset
Available under License Creative Commons Attribution.
Download (308B)
Text
Fig3b.txt - Dataset
Available under License Creative Commons Attribution.
Download (313B)
Image
Fig2.png - Image
Available under License Creative Commons Attribution.
Download (300kB)
Text
Fig4a.txt - Dataset
Available under License Creative Commons Attribution.
Download (1kB)
Image
Fig4.png - Image
Available under License Creative Commons Attribution.
Download (442kB)
Text
Fig5.txt - Dataset
Available under License Creative Commons Attribution.
Download (1kB)
Image
Fig5.png - Image
Available under License Creative Commons Attribution.
Download (139kB)
Text
Fig6a.txt - Dataset
Available under License Creative Commons Attribution.
Download (296B)
Image
Fig6.png - Image
Available under License Creative Commons Attribution.
Download (337kB)

Show all 12 downloads.

More information

Published date: 2021

Identifiers

Local EPrints ID: 447809
URI: http://eprints.soton.ac.uk/id/eprint/447809
PURE UUID: 269c514d-c62b-4390-a41a-6619d257ba38
ORCID for James Grant-Jacob: ORCID iD orcid.org/0000-0002-4270-4247
ORCID for Matthew Praeger: ORCID iD orcid.org/0000-0002-5814-6155
ORCID for Matthew Loxham: ORCID iD orcid.org/0000-0001-6459-538X
ORCID for Robert Eason: ORCID iD orcid.org/0000-0001-9704-2204
ORCID for Benjamin Mills: ORCID iD orcid.org/0000-0002-1784-1012

Catalogue record

Date deposited: 23 Mar 2021 17:35
Last modified: 06 May 2023 01:49

Export record

Altmetrics

Contributors

Contributor: Matthew Praeger ORCID iD
Contributor: Matthew Loxham ORCID iD
Contributor: Robert Eason ORCID iD
Contributor: Benjamin Mills ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×