IWMI is a research-for-development (R4D) organization, with offices in 14 countries and a global network of scientists operating in more than 30 countries. For over three decades, our research results have led to changes in water management that have contributed to social and economic development. The IWMI Dataverse provides access to data related to water and agriculture and it contains meteorological, hydrological, socio-economic, spatial data layer, satellite images as well as hydrological model setups.

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31 to 40 of 144 Results
Verified discharge stations for Limpopo River Basin
Jun 29, 2024 - Limpopo River Basin
Hugo Retief, 2024, "Verified discharge stations for Limpopo River Basin", https://doi.org/10.7910/DVN/LNZCYU, Harvard Dataverse, V1
Verified dischareg stations that have been verified for accuracy or compliance.the data are gethered from AWARE platform fetching from DWS (Department of Water and Sanitation).
verified_stations_DB.zip
Jun 29, 2024 - Verified discharge stations for Limpopo River Basin
Shapefile as ZIP Archive - 21.1 KB - MD5: a4b7d0f220229822e854f642e7b6817e
Verified dischareg stations that have been verified for accuracy or compliance.the data are gethered from AWARE platform fetching from DWS (Department of Water and Sanitation).
Digital Elevation model from NASA for the SWAT model for Limpoopo River Basin
Jun 29, 2024 - Limpopo River Basin
Thilina Madushanka, 2024, "Digital Elevation model from NASA for the SWAT model for Limpoopo River Basin", https://doi.org/10.7910/DVN/YSBWJ8, Harvard Dataverse, V1
This comprehensive digital elevation model (DEM) offers a meticulous 3D representation of the Limpopo Basin's topography. Uncover intricate details of the landscape, from towering mountains and sprawling valleys to the intricate network of river channels and floodplains. This wealth of elevation data empowers you with the ability to analyze slopes,...
DEM_SRTM.rar
Jun 29, 2024 - Digital Elevation model from NASA for the SWAT model for Limpoopo River Basin
Compressed Archive - 76.1 MB - MD5: 2af74983982213544dae71429cb4d751
This comprehensive digital elevation model (DEM) offers a meticulous 3D representation of the Limpopo Basin's topography. Uncover intricate details of the landscape, from towering mountains and sprawling valleys to the intricate network of river channels and floodplains. This wealth of elevation data empowers you with the ability to analyze slopes,...
Limpopo River Basin(International Water Management Institute)
Jun 28, 2024
The LIMPOPO River Basin data repository in Dataverse is designed to facilitate the interoperability of diverse data sources created to support the management and conservation efforts in the Limpopo River Basin. This repository catalogs various datasets developed by the International Water Management Institute (IWMI) as part of the CGIAR Digital Inn...
Enviro-Champs Formshare Data Cleaning Tool
Jun 3, 2024 - INIT25 - Digital
Udhav Maharaj, 2024, "Enviro-Champs Formshare Data Cleaning Tool", https://doi.org/10.7910/DVN/EA5MOI, Harvard Dataverse, V1, UNF:6:r4RquipTF4JKSuQ43j9LLw== [fileUNF]
A data cleaning tool customised for cleaning and sorting the data generated during the Enviro-Champs pilot study as they are downloaded from Formshare, the platform capturing data sent from a customised ODK Collect form collection app. The dataset inclues the latest data from the pilot study as at 14 May 2024.
activity_tracker_envirochamps_v20240228.tab
Jun 3, 2024 - Enviro-Champs Formshare Data Cleaning Tool
Tabular Data - 7.9 MB - 8077 Variables, 806 Observations - UNF:6:r4RquipTF4JKSuQ43j9LLw==
DataCleaningTool_Code.7z
Jun 3, 2024 - Enviro-Champs Formshare Data Cleaning Tool
Compressed Archive - 8.4 KB - MD5: ee9f5841e4a2433d8467145f9eb5e984
GT1292_DataCleaningTool.xlsm
Jun 3, 2024 - Enviro-Champs Formshare Data Cleaning Tool
application/vnd.ms-excel.sheet.macroEnabled.12 - 12.1 MB - MD5: f114c21379e1b104c87b72088e7286b3
Data for water-related adaptation meta review
Mar 27, 2024
Aditi Mukherji, 2024, "Data for water-related adaptation meta review", https://doi.org/10.7910/DVN/SVMKNM, Harvard Dataverse, V2, UNF:6:0gXHhGz0+I/im574cDFucg== [fileUNF]
This project will conduct a meta-review of case studies on water-related adaptation responses and evaluate the effectiveness of these responses in reducing water insecurity risks. This will provide the basis for a more robust framework to support the design of future adaptation responses than is available now. Studies (n=359) which met the inclusio...
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