Research Data Leeds Repository

Citation

Smith, Mark and Willis, Thomas and Mroz, Elizabeth and James, William H. M. and Klaar, Megan J. and Gosling, Simon N. and Thomas, Christopher J. (2024) Estimates of hydro-climatic suitability for malaria transmission in Africa. University of Leeds. [Dataset] https://doi.org/10.5518/1415

Dataset description

Hydrologically-based estimates of malaria season length across Africa. Estimates are made with water availability estimated using standard rainfall thresholds and more hydrologically-based estimates (including discharge and potential evaporation processes). Estimates of both malaria transmission season length and the number of months hydrologically-suitable for transmission (i.e. without temperature considerations) are provided separately.

Divisions:	Faculty of Environment > School of Geography
Related resources:	Location Type https://doi.org/10.1126/science.adk8755 Publication https://eprints.whiterose.ac.uk/212443/ Publication
Date deposited:	26 Jan 2024 10:41
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/1227
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Smith, Mark https://orcid.org/0000-0003-4361-9527 University of Leeds https://ror.org/024mrxd33 ror Willis, Thomas https://orcid.org/0000-0003-0103-1805 University of Leeds https://ror.org/024mrxd33 ror Mroz, Elizabeth https://orcid.org/0000-0002-5204-1811 University of Leeds https://ror.org/024mrxd33 ror James, William H. M. https://orcid.org/0000-0002-3273-4688 University of Leeds https://ror.org/024mrxd33 ror Klaar, Megan J. https://orcid.org/0000-0001-8920-4226 University of Leeds https://ror.org/024mrxd33 ror Gosling, Simon N. https://orcid.org/0000-0001-5973-6862 University of Nottingham https://ror.org/01ee9ar58 ror Thomas, Christopher J. https://orcid.org/0000-0003-4939-9959 University of Lincoln https://ror.org/03yeq9x20 ror Type of data: Dataset Research funders: NERC Grant numbers: NE/S007458/1 Publication date: 2024 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: m.w.smith@leeds.ac.uk Last Modified: 03 Sep 2024 08:22

Files

Documentation

README [4kB] README [4kB] README [4kB] Security: Anyone File name: README_SMITH_2024.txt Content type: Documentation Description: Dataset description Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 4kB

Data

DATA [78kB] DATA [78kB] DATA [78kB] Security: Anyone File name: DATA.xlsx Content type: Data Description: Excel file with all quantitative data Mime-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 78kB

DATA.zip (TIF files) [1MB] DATA.zip (TIF files) [1MB] DATA.zip (TIF files) [1MB] Security: Anyone File name: DATA.zip Content type: Data Description: TIF files for malaria season length (for each RCP and time period) (in subfolder); TIF files for hydrological suitability for malaria (for each RCP and time period) (in subfolder) Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 1MB

Program

Codes [24kB] Codes [24kB] Codes [24kB] Security: Anyone File name: Codes.zip Content type: Program Description: Python code and list of discharge thresholds to be used over the latitude range of Africa (matches fcropped area in python codes) for input into NetCDFSorter_v5_DIS.py (see README) Mime-Type: application/zip License: MIT License File size: 24kB