61 datasets found

This dataset contains a collection of JSON files used to configure map catalogs in TerriaJS, an interactive geospatial data visualization platform. The files include detailed configurations for services such as WMS, WFS, and other geospatial resources, enabling the integration and visualization of diverse datasets in a user-friendly web interface. This resource is ideal for developers, researchers, and professionals who wish to customize or implement interactive map catalogs in their own applications using TerriaJS.

This map illustrates the structures/buildings damaged by Tropical Cyclone MELISSA-25. The analysis focuses on Crawford Village, Black River District, Saint Elizabeth Parish, as of 29 October 2025, where damage was detected using a WorldView-2 very high-resolution satellite image acquired on 29 October 2025. UNOSAT identified approximately 1,089 buildings as 100% damaged.

This is a preliminary analysis and has not yet been validated in the field. Ground verification is encouraged, and feedback can be sent to the United Nations Satellite Centre (UNOSAT).

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.

The Sustainable Drinking Water Infrastructure Hub supports governments, utilities, and Tribal authorities in strengthening safe, climate-resilient drinking water infrastructure through equitable, data-driven planning. The Hub provides access to the UNEP-recognized Lead Service Line Replacement Cost Calculator (LSLRCC), a free, multilingual tool that models project costs, informs risk-based investment, and supports compliance with the U.S. EPA’s Lead and Copper Rule Improvements (LCRI) and State Revolving Fund (SRF) programs.

Recognized by the United Nations Environment Programme (UNEP), the U.S. Environmental Protection Agency (EPA), and international sustainability networks, the Hub advances key United Nations Sustainable Development Goals (SDGs), including Clean Water and Sanitation (SDG 6), Good Health and Well-Being (SDG 3), Reduced Inequalities (SDG 10), Climate Action (SDG 13), and Sustainable Cities and Communities (SDG 11).

Through the integration of climate-adaptive drinking water infrastructure planning strategies, the Hub supports communities in managing risks from flooding, drought, and extreme weather while fostering resilient, lead-free, and sustainable drinking water systems.

This public resource complements the LSLRCC record already hosted on IHP-WINS, placing it within a broader ecosystem of applied research, policy alignment, and knowledge sharing dedicated to advancing safe, equitable, and risk-informed drinking water management worldwide.

Additional Information:

• Sustainable Drinking Water Infrastructure Hub

• Lead Service Line Replacement Cost Calculator (LSLRCC)

• EPHI Public Outreach Hub

The Global Groundwater Quality Portal by IGRAC is a dedicated platform for sharing global maps and datasets related to groundwater quality. It brings together data and models developed by IGRAC and its international partners, including global assessments of groundwater contamination and occurrence of key elements such as arsenic, fluoride, PFAS, and salinity. The portal provides harmonized geospatial information that supports global and regional monitoring of groundwater quality, promotes data accessibility, and contributes to sustainable groundwater management worldwide. It is part of IGRAC’s mission to facilitate international information exchange and knowledge sharing on groundwater resources.

This study (https://doi.org/10.1007/s12517-017-3298-0) assesses the impacts of untreated wastewater discharge from Sulaimani City, Iraq, into the Tanjero River and proposes a framework for wastewater treatment planning. Nine sewer outlets representing residential, commercial, industrial, tourism, and hospital effluents were sampled over a year, and physicochemical analyses revealed elevated levels of turbidity, total dissolved solids, hardness, nitrates, and heavy metals—particularly in industrial zones. Questionnaire surveys conducted in 31 surrounding villages indicated significant health burdens, including chronic diseases, diarrhea, typhoid, skin disorders, and cancer, alongside impacts on livestock, fisheries, and agricultural productivity. Rice cultivation has nearly disappeared, and vegetable farming has declined due to water contamination. The findings highlight severe environmental and public health risks from current practices, where raw wastewater is still used for irrigation and animal watering. To mitigate these impacts, the study recommends constructing two wastewater treatment plants with stormwater retention structures, enforcing pretreatment of industrial effluents, and introducing appropriate on-site sanitation for unconnected households. Adoption of these measures would safeguard water resources, improve public health, and enable the safe reuse of treated wastewater for agriculture and industry.

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.

Dataset abstract (EN): The Lead Service Line Replacement Cost Calculator (LSLRCC) is a UNEP-recognized, free, multilingual web-based modeling tool developed by Environmental & Public Health International (EPHI). It helps local governments, Tribal nations, and utilities plan and budget for lead service line replacements.

The calculator promotes open access to infrastructure cost modeling and supports data-driven decision-making aligned with the UN Sustainable Development Goals (SDG 6 – Clean Water and Sanitation, SDG 11 – Sustainable Cities, and SDG 13 – Climate Action).

LSLRCC enables users to estimate total and per-line replacement costs for materials, excavation, labor, administration, contingency, and post-replacement activities. While © EPHI, the tool is freely accessible for public, educational, and institutional use to promote equitable, climate-resilient water infrastructure investments.

Access the tool at: https://ephillc.com/lead-service-line-replacement-cost-calculator/

This dataset contains citizen science water quality measurements collected under the Be-Resilient initiative of the UNESCO Intergovernmental Hydrological Programme (IHP). Data were gathered across multiple Biosphere Reserves in South Africa as part of ongoing efforts to enhance community-based monitoring and local resilience to hydroclimatic risks.

The dataset includes in-situ observations of key water quality parameters, such as pH, electrical conductivity, turbidity, dissolved oxygen, and temperature, each accompanied by localized timestamps and contextual metadata. Measurements were obtained by trained citizen scientists and local volunteers, following standardized protocols designed to ensure comparability across sites and over time.

Individual identifiers have been removed to protect the privacy of participants. The dataset serves as an open, quality-controlled source for hydrological and environmental analyses, education, and early-warning applications. It contributes to the broader Be-Resilient programme objective of promoting citizen and open science approaches for climate adaptation, data democratization, and the co-production of water knowledge in vulnerable and data-scarce regions.

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 Costa Rica, developed by Bonilla et al. (2016). The study ranks areas suitable for MAR through spreading methods based on hydrogeological aptitude, terrain slope, soil texture, and drainage network density. The dataset provides geospatial information that supports groundwater recharge planning, water resources management, and climate change adaptation in Costa Rica. 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 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 the Ganges River Basin, developed by Brindha and Pavelic (2016). The study identifies priority watersheds for mitigating flood and drought impacts through conjunctive surface and groundwater management under the Underground Taming of Floods for Irrigation (UTFI) approach. The analysis covers the transboundary Ganges Basin extending across Bangladesh, China, India, and Nepal. The dataset provides geospatial information that supports flood mitigation planning, groundwater recharge strategies, and integrated water resources management in South Asia. 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 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 Northern Australia, developed by CSIRO (2018). The study assesses opportunities for Managed Aquifer Recharge (MAR) in surficial aquifers to support agricultural development across the Fitzroy, Darwin, and Mitchell catchments. The analysis is based on the characteristics of surficial geology, topography, and modelled estimates of regolith thickness and soil permeability. The dataset provides geospatial information that can support sustainable water resource planning and agricultural water management in Northern Australia. 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 Global Sandwatch Dataset consolidates participatory observations collected through UNESCO’s Sandwatch Programme, a global citizen science and education initiative promoting climate change adaptation and sustainable coastal management. The dataset contains standardized monitoring data from 145 beaches in more than 50 countries, contributed by over 300 community observers, schools, and environmental groups.

Covering over a decade of observations, the dataset documents beach morphology, erosion and accretion patterns, composition, debris, human activities, water quality, wave and current dynamics, vegetation, and fauna. Each record reflects local community engagement in data collection and environmental stewardship, fostering awareness and resilience within coastal ecosystems-especially in Small Island Developing States (SIDS) and low-lying coastal regions.

The data structure follows the Sandwatch methodology of Monitoring, Analysing, Sharing, and Taking Action (MAST) and aligns with UNESCO’s Education for Sustainable Development (ESD) and climate adaptation frameworks. It provides a unique interdisciplinary resource integrating environmental, social, and educational dimensions of coastal change, valuable for research, education, and policy design in coastal resilience and participatory monitoring.

This dataset contains a collection of presentations delivered by UNESCO’s Intergovernmental Hydrological Programme (IHP) to a variety of audiences—including IHP National Committees, project teams, Member States, and regional stakeholders—on the IHP-WINS (Water Information Network System) platform. The presentations aim to raise awareness of IHP-WINS as a central hub for hydrological, climatic, and contextual data, supporting evidence-based decision-making, digital transformation, and open science. Each presentation is tailored to the specific audience, highlighting relevant use cases, data management workflows, visualization tools, governance structures, and opportunities for collaboration. The dataset provides an overview of how IHP-WINS is positioned within UNESCO’s water programmes to enhance interoperability, promote data sharing, and support the implementation of IHP-IX priorities at national, regional, and project levels.

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 North Kenya, developed by Acacia Water (2013). The study evaluates hydrogeological, climatic, and land use conditions to identify areas suitable for MAR implementation across the region. The dataset provides geospatial information that can support water resources planning, groundwater recharge strategies, and climate change adaptation measures in North Kenya. 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 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 Spain, developed under the DinaMAR project (2010). 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 Spain. 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 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 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 South Africa, developed by Department Water Affairs (2009). 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 South Africa. 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 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.

This dataset, compiled by Solar Chapter's Mengalir.co initiative, provides essential information on water infrastructure and access across 22 regencies in Indonesia's East Nusa Tenggara province. The data captures key water access metrics, infrastructure status, and demographic information to support water resource management, development planning, and humanitarian efforts in this semi-arid region. The dataset includes geospatial coordinates, administrative divisions, population demographics, water facility operations, access metrics, infrastructure types, water sources, and management entities for each regency.

The data synthesizes information from national and local government records, community participatory reports, and partner organization databases in an accessible CSV format for stakeholders addressing regional water challenges. This collection effort aims to support better planning and implementation of water solutions in East Nusa Tenggara, where many communities experience seasonal water shortages.