6 jeux de données trouvés

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.

Le Jeu de Données Mondial Sandwatch regroupe les observations participatives recueillies dans le cadre du Programme Sandwatch de l’UNESCO, une initiative mondiale de science citoyenne et d’éducation visant à promouvoir l’adaptation au changement climatique et la gestion durable des zones côtières. Ce jeu de données comprend des mesures standardisées provenant de 145 plages réparties dans plus de 50 pays, collectées par plus de 300 observateurs communautaires, écoles et groupes environnementaux.

S’étalant sur plus d’une décennie, il documente la morphologie des plages, l’érosion et l’accrétion, la composition, les déchets, les activités humaines, la qualité de l’eau, les vagues et courants, la végétation et la faune. Chaque enregistrement illustre l’engagement des communautés locales dans la collecte de données et la protection de l’environnement, renforçant la sensibilisation et la résilience des écosystèmes côtiers, notamment dans les Petits États Insulaires en Développement (PEID) et les zones côtières vulnérables.

La structure des données suit la méthodologie Sandwatch (Observer, Analyser, Partager et Agir – MAST) et s’aligne sur les cadres de l’UNESCO en matière d’Éducation en vue du Développement Durable (EDD) et d’adaptation au changement climatique. Ce jeu de données constitue une ressource interdisciplinaire unique intégrant les dimensions environnementales, sociales et éducatives des changements côtiers, utile pour la recherche, l’éducation et la planification de politiques en matière de résilience et de suivi participatif des zones côtières.

Composed of 669 biosphere reserves in 120 countries, including 16 transboundary sites, the World Network of Biosphere Reserves (WNBR) of the UNESCO Man And Biosphere (MAB) Programme consists of a dynamic and interactive network of sites of excellence. It works to foster the harmonious integration of people and nature for sustainable development through participatory dialogue, knowledge sharing, poverty reduction, human well-being improvements, respect for cultural values and by improving society’s ability to cope with climate change.For more information, visit: http://www.unesco.org/new/en/natural-sciences/environment/ecological-sciences/man-and-biosphere-programme/

The Reference Observatory of Basins for INternational hydrological climate change detection (ROBIN) project established a new long-term collaboration of international experts to establish and sustain a global reference hydrological network (RHN), through common standards, protocols, indicators, and data infrastructure. ‘Reference Hydrometric Networks’ (RHNs), consist of gauging stations whose catchments are relatively undisturbed and record high quality data and little missing data. The concept of RHNs, their history and evolution are described in (Whitfield et al., 2012) previously and many countries have already established RHNs, however this is the first initiative to bring them together at a global level. The ROBIN Full Dataset consists of 3,060 stations in 30 countries, however the dataset described here is the ROBIN Public Dataset which contains metadata records for all 3,060 stations and daily streamflow data for a total of 2,386 stations. This tiered approached was due to data sharing restrictions in some countries. More information about the ROBIN Network and dataset can be found on the project website: https://www.ceh.ac.uk/our-science/projects/robin

Outcome of the 'Visual Inspection for Defining the Safety Upgrading Strategies’ (VISUS) approach to assess the school safety in the Chimanimani District after the Cyclone Idai. A VISUS survey across 15 schools in the Chimanimani district was conducted to gauge rehabilitation needs and identify key areas to build resilience.

These datasets and maps present the landslides observed and landslide susceptibility of the Chimanimani and Chipinge Districts of Zimbabwe. The maps provide a qualitative assessment of the likelihood of a landslide occurrence in an area depend on the terrain condition, and knowledge of prior landslides in the region. These maps have been prepared with the recording of 20 000 landslides, that have been identified in the region, particularly those as a result of the Cyclone Idai that occurred in 2019.