The University of Southampton
×
Filter your search:
University of Southampton Institutional Repository

Spatio-temporally harmonised datasets for Mozambique. Version 1.0

Spatio-temporally harmonised datasets for Mozambique. Version 1.0
Spatio-temporally harmonised datasets for Mozambique. Version 1.0
Spatio-temporally harmonised datasets for Mozambique. Version 1.0. This work is part of the WorldPop Global Demographic Data project with funding from the Bill and Melinda Gates Foundation (BMGF). Method, coding, and data production have been carried out by Thea Woods, Tom McKeen, Alexander Cunningham, Rhorom Priyatikanto and oversight was provided by Maksym Bondarenko.
Mozambique, covariates, Dataset
University of Southampton
Woods, Thea
2a542d84-18c1-48d5-b039-ebba67562006
McKeen, Tom
5c616b7e-d068-4941-ae21-3e8aeb74f6ab
Cunningham, Alexander
d67452a2-f592-4784-80b2-1bfd8e5f76ae
Priyatikanto, Rhorom
c250c3ca-958c-46a2-969a-3ad689b8630b
Sorichetta, Alessandro
2b7adf4f-9af9-490f-b7cb-bf3deca6861f
Tatem, Andrew
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Bondarenko, Maksym
1cbea387-2a42-4061-9713-bbfdf4d11226
Woods, Thea
2a542d84-18c1-48d5-b039-ebba67562006
McKeen, Tom
5c616b7e-d068-4941-ae21-3e8aeb74f6ab
Cunningham, Alexander
d67452a2-f592-4784-80b2-1bfd8e5f76ae
Priyatikanto, Rhorom
c250c3ca-958c-46a2-969a-3ad689b8630b
Sorichetta, Alessandro
2b7adf4f-9af9-490f-b7cb-bf3deca6861f
Tatem, Andrew
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Bondarenko, Maksym
1cbea387-2a42-4061-9713-bbfdf4d11226

Woods, Thea, McKeen, Tom, Cunningham, Alexander, Priyatikanto, Rhorom, Sorichetta, Alessandro, Tatem, Andrew and Bondarenko, Maksym (2024) Spatio-temporally harmonised datasets for Mozambique. Version 1.0. University of Southampton doi:10.5258/SOTON/WP00775 [Dataset]

Record type: Dataset

Abstract

Spatio-temporally harmonised datasets for Mozambique. Version 1.0. This work is part of the WorldPop Global Demographic Data project with funding from the Bill and Melinda Gates Foundation (BMGF). Method, coding, and data production have been carried out by Thea Woods, Tom McKeen, Alexander Cunningham, Rhorom Priyatikanto and oversight was provided by Maksym Bondarenko.

This record has no associated files available for download.

More information

Published date: 4 February 2024
Related URLs:
Keywords: Mozambique, covariates, Dataset

Identifiers

Local EPrints ID: 486839
URI: http://eprints.soton.ac.uk/id/eprint/486839
DOI: doi:10.5258/SOTON/WP00775
PURE UUID: b8a44739-a182-40a4-9b21-fcc45fb8671d
ORCID for Thea Woods: ORCID iD orcid.org/0000-0002-9669-9631
ORCID for Rhorom Priyatikanto: ORCID iD orcid.org/0000-0003-1203-2651
ORCID for Andrew Tatem: ORCID iD orcid.org/0000-0002-7270-941X
ORCID for Maksym Bondarenko: ORCID iD orcid.org/0000-0003-4958-6551

Catalogue record

Date deposited: 06 Feb 2024 17:56
Last modified: 07 Feb 2024 03:08

Export record

Altmetrics

Contributors

Creator: Thea Woods ORCID iD
Creator: Tom McKeen
Creator: Alexander Cunningham
Creator: Rhorom Priyatikanto ORCID iD
Creator: Alessandro Sorichetta
Creator: Andrew Tatem ORCID iD
Creator: Maksym Bondarenko 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

Library staff additional information
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.

×