Data underlying the publication: From insufficient rainfall to livelihoods: understanding the cascade of drought impacts and policy implications

This dataset contains municipality-level drought impact data from Ceará, Brazil, collected between February 2019 and October 2022. Data were gathered through monthly questionnaires completed by Ematerce field observers as part of routine monitoring across 184 municipalities. The dataset includes qualitative information on drought impacts and contextual factors.<br>A thematic analysis (Braun &amp; Clarke, 2006) was conducted to identify key patterns and themes. A homogenization process was applied to standardize terminology and classify impacts into 14 categories grouped into hydrological, agricultural, and socio-environmental-economic domains. Validation interviews with observers ensured data accuracy.The submission includes:<br><strong>Ceara Ematerce Drought Impacts Monitoring v4 (.atlproj22)</strong>: main qualitative dataset for use in Atlas.ti<strong>Code book quantitiesC.xlsx</strong>: quantitative codebook with supporting details<strong>Relatório do Monitoramento de Secas 2019–2022.xlsx</strong>: monitoring report summarizing drought conditions<br>The dataset is ready for qualitative coding, querying, and thematic exploration in software like Atlas.ti.

本数据集涵盖巴西塞阿拉州（Ceará）2019年2月至2022年10月期间采集的市级干旱影响数据。数据由巴西塞阿拉州农业技术推广与农村援助机构（Ematerce）的实地观察员通过月度问卷完成采集，作为覆盖184个市级行政区的常规监测工作的一部分。本数据集包含干旱影响及相关背景因素的定性信息。
研究采用主题分析法（Braun与Clarke，2006）识别核心模式与研究主题，并通过同质化处理统一术语规范，将干旱影响划分为14个类别，归为水文、农业及社会-环境-经济三大领域。此外，通过与观察员开展验证访谈保障了数据准确性。
本次提交的文件包括：
1. **《塞阿拉州Ematerce干旱影响监测数据集v4 (.atlproj22)》**：适用于Atlas.ti软件的主定性数据集
2. **《Code book quantitiesC.xlsx》**：附带支撑细节的定量编码手册
3. **《2019–2022年干旱监测报告.xlsx》**：汇总干旱状况的监测报告
本数据集可直接用于Atlas.ti等软件中的定性编码、查询与主题探索工作。