CIRAD Dataverse

The range of CIRAD's research has given rise to numerous datasets and databases associating various types of data: primary (collected), secondary (analysed, aggregated, used for scientific articles, etc), qualitative and quantitative. These "collections" of research data are used for comparisons, to study processes and analyse change. They include: genetics and genomics data, data generated by trials and measurements (using laboratory instruments), data generated by modelling (interpolations, predictive models), long-term observation data (remote sensing, observatories, etc), data from surveys, cohorts, interviews with players.

CIRAD的研究范围催生了众多数据集和数据库，这些数据集和数据库关联了多种类型的数据：包括原始数据（收集所得）、次级数据（分析、汇总，用于撰写科学论文等）、定性和定量数据。这些研究数据的集合被用于比较分析、研究过程以及变化分析。具体包括：遗传学和基因组学数据、实验室仪器产生的试验和测量数据、建模产生的数据（插值、预测模型）、长期观测数据（遥感、观测站等）、调查、队列和与参与者访谈所获得的数据。