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The dataset contains the answers of smallholder farmers to a semi-structured field survey and the 2020 yield plot measurements conducted in 8 municipalities of the Dosso and Tillabéri regions in Niger. It is a systematic sampling of about 320 questionnaires and 192 yield plot samples equally distributed in eight municipalities of intervention. The dataset contains several pieces of information about the uptake and the impacts of a tailored climate service (CS) produced by the National Meteorological Service (NMS) and disseminated through a network that involves Ministry of Agriculture extension services at the municipal level developed in the context of the AdaptatioN Au changement Climatique, prévention des catastrophes et Développement agrIcole pour la sécurité Alimentaire du Niger (ANADIA) Project. The material gathered by the survey gives a picture of the preferences of local farmers in the broadcasting of climate services information and their consequent strategical and tactical decisions in farm practices. Moreover, the survey investigates the preferences regarding the information that farmers would like to receive during the cropping season. Furthermore, the measurement of yield and its relation to the farmers' access to climate information and participation in training initiatives gives an indication of the impact of the CS on agricultural production in these regions. The dataset could benefit further studies and investigations about CSs for smallholder farmers in semi-arid regions. This article is a co-submission of the article: "Effectiveness of agrometeorological services for smallholder farmers: the case study in the regions of Dosso and Tillabéri in Niger" submitted to the journal Climate Services ., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. The authors declare the following financial interests/personal relationships which may be considered as potential competing interests., (© 2023 The Author(s).)

In tropical regions, heavy precipitations may lead to catastrophic flooding due to the degradation of catchments and the expansion of settlements in flood prone zones. In the current situation, where information on rainfall and exposed assets is either scant, or requires significant time to be collected, pluvial flood risk assessments are conducted using participatory tools, without any scientific support. Another option is to use satellite precipitation products, digital terrain models and satellite images at high to moderate-resolution. However, these datasets do not reach the required accuracy at the local scale. Consequently, the potential damages and the evaluation component of risk assessment are often missing. Risk evaluation is pivotal for informed decision-making, with regards to the choice of treating or accepting the risk, implementing more effective measures, and for determining the safest areas for development. We proposed an improved method for assessing the risk of pluvial floods, which merges local and scientific knowledge and is consistent with the ISO 31010 standard. The method was successfully applied in five rural settlements in Niger and can be replicated in areas where information is scarce., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2021 The Author(s).)

Flood risk assessments in the Global South have increased since the adoption of the United Nations Sendai Framework for Disaster Risk Reduction 2015-2030. However, they often fail to meet disaster risk reduction needs at the local scale, because they typically consider only one hazard (fluvial or pluvial floods). Furthermore, hazard and exposure are considered as stationary conditions, flood-prone assets are rarely identified, risk reduction measures are not identified in detail for specific locations, and the convenience of reducing or accepting risk is not evaluated. This paper describes a flood risk assessment method that is innovative in that it considers three hazard types (backwater, fluvial, and pluvial floods) and multiple risk scenarios; it uses orthophotos generated from images captured by an unmanned aerial vehicle and very high-resolution satellite images, and it involves communities in risk assessment. The method was applied to four rural settlements along the Sirba River, Niger. The assessment identifies the benefit of reducing risk in monetary terms, as well as the intangible benefits that reducing risk could generate, and it detects opportunities that flooding offers for rural development. The method can be replicated in all contexts where decision-making support is needed for flood risk assessment planning.•Risk analysis and evaluation is participatory.•Risk assessment is improved by combining local and technical knowledge.•Assets are identified using very-high-resolution satellite and drone images., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2021 The Author(s).)