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.

Data access is provided in compliance with copyrights, intellectual property rights and data agreements with our partners. Please use the contacts button above to contact the IWMI ICT team with any queries on datasets.

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

1 to 10 of 33 Results
IWMI Environmental Flow Calculators
May 22, 2025
Eriyagama, Nishadi; Smakhtin, Vladimir, 2025, "IWMI Environmental Flow Calculators", https://doi.org/10.7910/DVN/ELOI9H, Harvard Dataverse, V1
The IWMI Environmental Flow Calculators are a family of software for desktop rapid assessment of Environmental Flows (EFs).
Bias-corrected and statistically downscaled climate projections for four distinct areas: Ras Baalbeck in Lebanon, Abu Al-Matamir in Egypt, Wadi Al-Seer in Jordan, and Wadi Al-Faria’a in the West Bank of the Occupied Palestinian Territories (OPT).
Dec 17, 2024
Karim Bergaoui, 2024, "Bias-corrected and statistically downscaled climate projections for four distinct areas: Ras Baalbeck in Lebanon, Abu Al-Matamir in Egypt, Wadi Al-Seer in Jordan, and Wadi Al-Faria’a in the West Bank of the Occupied Palestinian Territories (OPT).", https://doi.org/10.7910/DVN/SCNQWS, Harvard Dataverse, V1
The data includes bias-corrected and statistically downscaled climate projections for four distinct areas: Ras Baalbeck in Lebanon, Abu Al-Matamir in Egypt, Wadi Al-Seer in Jordan, and Wadi Al-Faria’a in the West Bank of the Occupied Palestinian Territories (OPT). This data are outputs from from models that were developed to assess future projected...
Unverified discharge stations for Limpopo River Basin
Jul 12, 2024 - Limpopo River Basin
Hugo Retief, 2024, "Unverified discharge stations for Limpopo River Basin", https://doi.org/10.7910/DVN/NNMO4E, Harvard Dataverse, V2
Unverified discharge stations that have not been verified for accuracy or compliance.the data are gethered from AWARE platform fetching from DWS (Department of Water and Sanitation).
Channel network of SWAT model for Limpopo River Basin
Jul 12, 2024 - Limpopo River Basin
Thilina Madushanka, 2024, "Channel network of SWAT model for Limpopo River Basin", https://doi.org/10.7910/DVN/WAVI18, Harvard Dataverse, V2
The development of a channel network is a crucial part of watershed delineation. It involves identifying the streams and rivers within a watershed based on terrain data. This process uses the Digital Elevation Model (DEM) to simulate the flow of water across the landscape, determining where streams are likely to form.
Historical limpopo groundlevel observed discharge data for the SWAT model validation for Limpopo River Basin
Jul 9, 2024 - Limpopo River Basin
Thilina Madushanka, 2024, "Historical limpopo groundlevel observed discharge data for the SWAT model validation for Limpopo River Basin", https://doi.org/10.7910/DVN/6JYPEL, Harvard Dataverse, V1
The discharge data is collected from the Department of Water and Sanitation (DWS) of the Republic of South Africa. Majority of the stations are located in south africa and some stations available at botswana.The stations are located in the Limpopo and Olifants regions, comprising a total of 45 stations with daily readings. This dataset is raw and l...
Historical limpopo groundlevel observed rainfall data use for validation purposes for the SWAT model for Limpopo River Basin
Jul 9, 2024 - Limpopo River Basin
Thilina Madushanka, 2024, "Historical limpopo groundlevel observed rainfall data use for validation purposes for the SWAT model for Limpopo River Basin", https://doi.org/10.7910/DVN/HYHAZR, Harvard Dataverse, V1
The rainfall data is collected from various ground-level data stations, including SASSCL, GSOD, Massingir Dam stations and some other reputable South African organizations.Majority of the stations are located in south africa rest of the data sets are available in mozambique,zimbabwe and botswana. Currently, the system holds records from 192 station...
Limpopo landuse from ESA for the SWAT model for Limpopo River Basin
Jun 29, 2024 - Limpopo River Basin
Thilina Madushanka, 2024, "Limpopo landuse from ESA for the SWAT model for Limpopo River Basin", https://doi.org/10.7910/DVN/ADRSCP, Harvard Dataverse, V1
This comprehensive land use dataset provides a granular understanding of the Limpopo Basin's surface composition. It reveals the spatial distribution of various land cover types – natural vegetation, agricultural lands, urban areas, and protected ecosystems – offering a valuable foundation for informed decision-making. Stakeholders can leverage thi...
Limpopo soil from FAO/UNESCO for the SWAT model for Limpopo River Basin
Jun 29, 2024 - Limpopo River Basin
Thilina Madushanka, 2024, "Limpopo soil from FAO/UNESCO for the SWAT model for Limpopo River Basin", https://doi.org/10.7910/DVN/BIPSBX, Harvard Dataverse, V1
Leveraging this comprehensive soil data collection, stakeholders can gain a nuanced understanding of the Limpopo Basin's pedosphere (soil layer). This data unveils the intricate spatial distribution of soil types, their physical and chemical properties (texture, fertility, erodibility), and associated vulnerability to degradation. This knowledge em...
Basins Sub-basin Boundaries of the SWAT model for Limpopo River Basin
Jun 29, 2024 - Limpopo River Basin
Thilina Madushanka, 2024, "Basins Sub-basin Boundaries of the SWAT model for Limpopo River Basin", https://doi.org/10.7910/DVN/CYDHTY, Harvard Dataverse, V1
Creating precise basin boundaries is essential for hydrological modeling and effective water resource management. The Soil and Water Assessment Tool (SWAT) integrated with QGIS offers a robust interface to achieve this. this optimized approach ensures that hydrological models are based on precise watershed and sub-basin delineations, facilitating b...
DAMs locations for Limpopo River Basin
Jun 29, 2024 - Limpopo River Basin
Thilina Madushanka, 2024, "DAMs locations for Limpopo River Basin", https://doi.org/10.7910/DVN/WPJCPD, Harvard Dataverse, V1
Dams play a critical role in hydrological systems by altering natural water flow, creating reservoirs, and providing benefits such as water supply, flood control, irrigation, and hydroelectric power. Dams data gethered using google maps,monographs and characteristics data - Massingir dam authority.
Add Data

Sign up or log in to create a dataverse or add a dataset.

Sign Up Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.