These data consist of quantitative and categorical scores for phenotypic attributes of 88 types of galls induced on oak trees (Quercus spp.) by cynipid gallwasps (Hymenoptera: Cynipidae: Cynipini). The recorded variables focus on attributes such as hardness, presence of surface spines or coatings of sticky resin, each of which are thought to contribute to protection of the gall inhabitants form attack by natural enemies such as parasitoid wasps and birds. Cynipid galls have separate sexual and asexual generation galls, each with different phenotypes. The dataset comprises values for 31 sexual generation galls and 58 asexual generation galls of a total of 69 cynipid species. The biological rationale for regarding these phenotypic traits as defences is explained in Bailey et al (2009). The purpose of these data is to include them as explanatory variables in statistical analyses that seek to quantify the effects of gall traits on the composition and abundance of parasitoid natural enemies in cynipid gall communities. Full details about this dataset can be found at https://doi.org/10.5285/bc10f720-2bb6-4ff4-ad63-257663fd41a3

This dataset contains information about the pairwise food web relationships between three trophic groups in montane deciduous forest in Western Sichuan, China: (i) Chinese tree species in the family Fagaceae; (ii) herbivorous Cynipid gallwasps (Hymenoptera: Cynipidae: Cynipini) collected from the tree species; & (iii) parasitoid wasps reared from the Cynipid galls. The records are for samples collected between November 2017 and June 2022 from two sites (Emeishan and Mianning) in Sichuan Province. The dataset contains 9 tables: Three are tables of relationships between galls and trees, at each of Emeishan and Mianning, and for both sites combined. Three are tables of relationships between parasitoids and trees, at Emeishan, Mianning, and for both sites combined. And three are tables of relationships between galls and parasitoids, at Emeishan, Mianning, and for both sites combined. The data were collected during individual tree-level surveys funded by a NERC Discovery grant (NE/T000120/1): ‘TRICOMM: Structure, assembly and evolution of natural tritrophic communities’. Full details about this dataset can be found at https://doi.org/10.5285/b5455ff8-81c3-4c9f-b2d2-6ff1a0db9951