Data from: Phenology and Morphology Drive High Niche Partitioning in a Butterfly-Flower Interaction Network

Title: Phenological overlap and morphology drive high niche partitioning in a butterfly-flower interaction network<br>Authors: Lucas Benício de Castro, Matheus Ambrósio Pacheco, Marsal Danrlei Amorim, Ana Carolina Pereira Machado, Luis Gustavo de Sousa Perugini, Danila Moreira, Rodrigo Santiago, Breno Dias Vitorino, Leonardo Ré Jorge, Pietro Kiyoshi Maruyama, André Rodrigo Rech<br>Description:Dataset of butterfly–flower interactions recorded over one year in the campos rupestres ecosystem of Diamantina, Minas Gerais, Brazil. It includes species identities, interaction frequencies, plant phenology, floral abundance, proboscis length of butterflies, and floral tube length of plants. Data support the analyses in the study demonstrating that phenological overlap and morphological matching drive high niche partitioning in a modular and specialised network, with strong seasonal turnover of species and interactions.<br><br>