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Trait dataset used in Forest recovery pathways after fire, drought, and windstorms in southeastern Amazon (Maracahipes et al. 2026 PNAS). README: Functional and Hydraulic Traits of Woody Species from Long-Term Experimental Fire Plots in Southeastern Amazonia Description of the data and file structure Functional and Hydraulic Traits of Woody Species from Long-Term Experimental Fire Plots in Southeastern Amazonia Our research site was established in 2004 at Tanguro Farm (Querência, MT) and is managed by the Amazon Environmental Research Institute (IPAM). It was created as part of the largest experimental fire study ever conducted in tropical forests. This long-term experiment is coordinated by IPAM in partnership with the AMAGGI Group, the company that manages the farm. Under a formal agreement, IPAM is authorized to conduct scientific research on the farm with full freedom to publish all collected data and research findings. Since its inception, the Tanguro research site has fostered an extensive collaborative network, and numerous research projects are currently being conducted in the region. One of the datasets we are compiling from fieldwork includes functional traits of woody plants occurring in both experimentally burned forests and unburned control plots. All non-hydraulic traits were measured during the peak of the rainy season (January–March 2019), which corresponds to the period of maximum leaf expansion and maturity. Within each treatment, we sampled 2–5 individuals per species. Traits related to fire resistance (bark thickness and wood density), resource-use strategies, and water-stress tolerance (leaf thickness, specific leaf area, leaf area, and maximum height) were collected between February and March 2019. Hydraulic traits were measured in two separate campaigns: leaf water potential at predawn and midday during the peak of the dry season (August 17 to September 10, 2020), and P50 and hydraulic safety margin in March 2021. Files: 1Funtional_traits_Dryad_Online_202508.csv Metadata_Functional_Traits_Tanguro_202508.csv