<?xml version='1.0' encoding='UTF-8'?><metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns="http://dublincore.org/documents/dcmi-terms/"><dcterms:title>West Africa Dams and Reservoirs Dataset</dcterms:title><dcterms:identifier>https://doi.org/10.60507/FK2/YLDK1Y</dcterms:identifier><dcterms:creator>Kouassi, Valery Bessely Stanislas</dcterms:creator><dcterms:creator>Yao, Blé Amouna Fhorest</dcterms:creator><dcterms:creator>Soro, Gneneyougo Emile</dcterms:creator><dcterms:creator>Goula, Bi Tié Albert</dcterms:creator><dcterms:creator>Kelome, Nelly Carine</dcterms:creator><dcterms:creator>Klaus, Julian</dcterms:creator><dcterms:publisher>bonndata</dcterms:publisher><dcterms:issued>2026-02-26</dcterms:issued><dcterms:modified>2026-02-26T07:06:04Z</dcterms:modified><dcterms:description>The West Africa Dams and Reservoirs Dataset, also called Harmonized Dataset for Dams and Reservoirs in West Africa is a West Africa-specific compiled dataset developed through the integration of twelve existing datasets. This harmonized dataset aims to address the heterogeneous data records of West African dams and reservoirs in existing datasets while enhancing the accessibility of dam and reservoir information for policy development, investment planning, and regional-scale analyses. The dataset contains 1,429 georeferenced dams and 1,258 reservoirs (with a minimum surface area of 0.57 × 10⁻³ km²), 38 attributes, and an estimated total reservoir surface area of 14,038 km² and a cumulative storage capacity of 267,369 MCM. The West Africa Dams and Reservoirs Dataset is provided in shapefile and CSV formats for both dam and reservoir entries: WA_Dams (point locations of dams in West Africa) and WA_Reservoirs (polygon representations of reservoirs in West Africa) available for download and future updates.</dcterms:description><dcterms:subject>Earth and Environmental Sciences</dcterms:subject><dcterms:language>English</dcterms:language><dcterms:date>2026-02-26</dcterms:date><dcterms:contributor>KOUASSI, Valery Bessely Stanislas</dcterms:contributor><dcterms:dateSubmitted>2026-01-22</dcterms:dateSubmitted><dcterms:temporal>2025-03-01</dcterms:temporal><dcterms:temporal>2025-07-30</dcterms:temporal><dcterms:relation>Global Information System on Water and Agriculture of the Food and Agriculture Organization (FAO AQUASTAT). https://www.fao.org/aquastat/en/databases/dams</dcterms:relation><dcterms:relation>Global Lakes and Wetlands Database (GLWD-1 (Level 1) &amp; GLWD-2 (Level 2)). https://www.worldwildlife.org/our-work/science/global-lakes-and-wetlands-database/</dcterms:relation><dcterms:relation>HydroLAKES. https://www.hydrosheds.org/products/hydrolakes</dcterms:relation><dcterms:relation>GlObal GeOreferenced Database of Dams (GOODD). https://www.globaldamwatch.org/goodd</dcterms:relation><dcterms:relation>Future Hydropower Reservoirs and Dams Database (FHReD). https://www.globaldamwatch.org/fhred</dcterms:relation><dcterms:relation>Global Reservoirs and Dams version 1.3 (GranD V1.3). https://www.globaldamwatch.org/grand/</dcterms:relation><dcterms:relation>Global River Obstruction Database version 1.1 (GROD v1.1). https://zenodo.org/records/5793918</dcterms:relation><dcterms:relation>Reservoir and Lake Surface Area Timeseries (ReaLSAT). https://doi.org/10.5281/zenodo.7614815</dcterms:relation><dcterms:relation>Georeferenced global Dams And Reservoirs (GeoDAR). https://zenodo.org/records/6163413</dcterms:relation><dcterms:relation>Global Dam Tracker (GDAT). https://zenodo.org/records/7616852</dcterms:relation><dcterms:relation>Global Dam Watch (GDW database (V1)). https://www.globaldamwatch.org/database</dcterms:relation><dcterms:relation>Global Lakes/Reservoirs Surface Extent Dataset (GLRSED). https://zenodo.org/records/14190225</dcterms:relation><dcterms:type>Aggregate Data</dcterms:type><dcterms:license>CC BY 4.0</dcterms:license></metadata>