59 datasets found

Overview of existing and known boreholes in each County (Turkana, Marsabit, Isiolo, Garissa, Wajir), including information of qualitative and quantitative potential (yield and EC). Note that this is a merged database containing data from the RAPID and UNICEF Hydrogeological mapping of underground water using remote sensing and GIS projects Provider: Acacia Water, RAPID + UNICEF project

The dataset covers the Counties of Turkana and Marsabit in northern Kenya. It includes borehole records with some geological and water quality measurements. It is part of the project "HYDROGEOLOGICAL MAPPING OF TURKANA and MARSABIT AQUIFERS" that was carried out by Rural Focus and SWAS WATER SURVEYS. A significant portion of the data that was required for these datasets was collected from various organizations including Oxfam, the Catholic Diocese of Lodwar, JICA, and the WRA of Kenya. The dataset has undergone improvements in accuracy and consistency while being normalized to align with UNESCO's groundwater data collection template.

This dataset contains the official materials from the launch event of the IHP-WINS (International Hydrological Programme – Water Information Network System) platform, held on 28 April 2023. It includes the launch brochure, the presentation delivered during the event, and the full recording of the webinar. These resources provide an overview of the platform’s objectives, functionalities, and relevance in supporting data sharing, open science, and collaborative water resources management. The dataset serves as a reference for stakeholders, partners, and contributors interested in learning about the vision and practical applications of IHP-WINS.

This dataset is part of the Somalia Water sources Information Management System (SWIMS). From the various sources listed in SWIMS boreholes and wells were selected. The dataset gives information about the positioning and in few cases about water level and yield but it is not clarified if the inspection date in the data is referring to the measurements.

A compilation of secondary surface- and groundwater quality measurements assembled to characterize hydrochemistry, contaminants, isotopes, and bacteriological parameters across the Ethiopian portion of the Lake Turkana basin. This dataset underpins statistical and geospatial analyses to inform sustainable water-resource management.

The FRIEND/Nile project, implemented in two phases (2001-2006 and 2007-2013), aimed to enhance water resources management in the Nile Basin through regional cooperation, capacity building, and applied hydrological research. Initiated under the UNESCO International Hydrological Programme (IHP) and funded by the Flemish Government of Belgium, the project engaged key institutions across five Nile Basin countries—Egypt, Sudan, Ethiopia, Kenya, and Tanzania. The project focused on improving understanding of the river's hydrological regime through collaborative research and data sharing.

Phase I (2001-2006) established technical and institutional cooperation, emphasizing four key research components: Rainfall-Runoff Modeling, Sediment Transport and Watershed Management, Flood Frequency Analysis, and Drought and Low Flow Analysis. Over 20 training workshops and technical meetings were conducted, enhancing the capacity of researchers and institutions within the region. The project facilitated data acquisition, model development, and technical publications, laying the foundation for improved transboundary water governance.

Phase II (2007-2013) expanded on these efforts by addressing new challenges such as eco-hydrology, stochastic modeling, and erosion and sediment transport. It introduced advanced hydrological models, improved performance monitoring, and evaluated climate change impacts on water availability in the Nile Basin. The project contributed to enhanced scientific cooperation, strengthened institutional frameworks, and provided policy-relevant insights to support sustainable water resource management.

This dataset contains layers for manuscript 'Capturing the complete landslide–debris-rich flood continuum for accurate inventory, susceptibility and exposure mapping – lessons from Cyclone Idai'. They provide a comprehensive analysis of impact, susceptibility and exposure to landslide and associated debris-rich floods in the Chimanimani and Chipinge districts, Zimbabwe. This work was carried out within the framework of the UNESCO project BE-RESILIENT Zimbabwe, funded by the World Bank and managed by the UNOPS Zimbabwe Idai Recovery Project. We also acknowledge support from BELSPO STEREO-IV LACTOSE project. The authors thank the local authorities who facilitated data collection and fieldwork in eastern Zimbabwe.

The MAR Portal contains the Global MAR Inventory, an inventory of over 1200 sites where Managed Aquifer Recharge is or has been implemented. The Global MAR Inventory includes information on site name, MAR type, year of scheme deployment, the source of infiltration water, the final use of abstracted water, as well as the main objectives of the project.

The data shown in this portal have been made available by INOWAS (TU Dresden, Germany and funded by the German Federal Ministry of Education and Research) and the DEMEAU project (European Union FP7 project consortium). More information on the Global MAR Inventory project and its partners can be found or in the following publication: Stefan C. & Ansems N. (2017) Web-based global inventory of managed aquifer recharge applications. Sustain. Water Resour. Manag. https://doi.org/10.1007/s40899-017-0212-6.

The MAR Portal also contains a selection of regional MAR suitability maps, showing where MAR could be implemented.

If you would like to contribute data to the MAR portal, please contact us at info@un-igrac.org.

Large-sample datasets are essential in hydrological science to support modelling studies and global assessments. The present dataset compiles all freshwater quality data that is available under open data policy (CC BY 4.0 or equivalent) at the GEMStat database for global water quality (www.gemstat.org). It includes over 20,000,000 measurements on 608 water quality parameters, covering 13,660 stations in 37 countries over the time period from 1906 to 2023.

GEMStat is operated by the GEMS/Water programme of the United Nations Environment Programme (UNEP) and hosted at the International Centre for Water Resources and Global Change (ICWRGC) and the German Federal Institute of Hydrology (BfG). The data in GEMStat is provided by National Hydrological Services of UN member states.

The Global Lakes and Wetlands Database (GLWD) version 2 provides a comprehensive and seamless global map of inland surface waters distinguished into 33 waterbody and wetland types. GLWD v2 was developed by harmonizing the best available ground- and satellite-based data sources and has been designed to represent the maximum non-overlapping extents of aquatic ecosystems over the broad contemporary period of 1990-2020.

GLWD v2 represents a total of 18.2 million km2 of wetlands at a grid cell resolution of 15 arc-seconds (approximately 500 m at the equator). The data consist of a map of the dominant waterbody or wetland type in each grid cell, as well as 33 individual class layers which represent the sub-cell fraction of each specific class within each grid cell.

Version 2 of GLWD (Lehner et al., 2025) is the successor of the widely-used GLWD version 1 (Lehner & Döll, 2004). The quality, resolution, and format of GLWD v2 significantly improves upon GLWD v1 and supersedes the older version.

The MAR Portal contains the Global MAR Inventory, an inventory of over 1200 sites where Managed Aquifer Recharge is or has been implemented. The Global MAR Inventory includes information on site name, MAR type, year of scheme deployment, the source of infiltration water, the final use of abstracted water, as well as the main objectives of the project.

This dataset presents a MAR suitability map for Jordan, developed by Steinel et al. (2016). The study evaluates hydrogeological, climatic, and land use conditions to identify areas suitable for MAR implementation across the country. The dataset provides geospatial information that can support water resources planning, groundwater recharge strategies, and climate change adaptation measures in Jordan. It is part of the global collection of MAR suitability assessments compiled by IGRAC.

If you would like to contribute data to the MAR portal, please contact us at info@un-igrac.org.

The SIDS viewer provides groundwater related information on Small Island Developing States. At present the system contains mainly information derived from the Transboundary Waters Assessment Program (TWAP) on 43 SIDS. The data include indicators describing the hydrogeological, environmental, socio-economic and governance dimensions of the SIDS groundwater systems.

The data have been derived from questionnaire surveys and an extensive desk-top study executed by the Simon Frasier University (Canada) and coordinated by UNESCO-IHP. Data in the system can be explored and analysed using a map based viewer, which is particularly useful to make comparative analyses of multiple SIDS. Additionally SIDS information sheets are also available providing clear overviews per SIDS. Further data on SIDS will be collected and uploaded into the SIDS viewer as they become available.

For any queries or comments on the SIDS data and information, please visit our SIDS Focal Area page. (https://www.un-igrac.org/areas-expertise/small-island-developing-states-sids)

Lake-TopoCat provides a global-scale dataset that links lakes with their drainage topology, delineates catchments, defines inter-lake pathways, and quantifies topological attributes (upstream/downstream relationships, drainage distances, outlet multiplicity, etc.). The input is based on HydroLAKES v1.0 and MERIT Hydro (3 arcsec), with algorithms to detect possible lake bifurcation, unit catchment delineation, reach segmentation, and network attribution. The database includes:

• Lake boundary polygons (same as HydroLAKES) enriched with drainage attributes
• Lake outlet points
• Unit catchment polygons corresponding to each lake outlet
• Inter-lake reach lines connecting outlets
• Lake-network basins (basin polygons delineating the full drainage domain of each lake network)

It covers ~1.43 million lakes (≥10 ha) and ~1.46 million outlets globally, and ~3 million inter-lake reaches, spanning ~77.5 × 10⁶ km² of catchment coverage (≈ 57 % of global landmass, excluding Antarctica). The dataset is freely available via Zenodo (DOI: 10.5281/zenodo.7916729) and is licensed under CC BY 4.0.