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.

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MS Excel Spreadsheet - 53.9 KB - MD5: b9cc4a505e621dc573ede2815a1f8b63
Tabular Data - 6.8 MB - 232 Variables, 359 Observations - UNF:6:mHs51tRlK+sBjk0hEL0fhw==
Comma Separated Values - 1.7 MB - MD5: 8d678d4d1a83898c2af4eb249ac55c80
Tabular Data - 1.8 MB - 45 Variables, 1460 Observations - UNF:6:ucPxFd4wYj/a7K+cJicMPw==
Feb 6, 2024
Surajit Ghosh; Kounik De Sarkar; Anuva Chowdhury; Bunyod Holmatov, 2024, "Dataset- Greenhouse Gas Emissions of Selected Hydropower Reservoirs in Vietnam Using G-res Tool", https://doi.org/10.7910/DVN/YJOEIJ, Harvard Dataverse, V1
Datasets for the GHG Emissions Estimates of Hydropower Reservoirs in Vietnam Using G-res Tool. In G-res tool, the input parameters can be saved or exported in MER file format. These MER file can be reused to optimize the input datasets to estimate the emissions.
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